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Silo Launches V2 On Sonic Network, Enabling Users To Access Risk-Isolated Markets

Silo Launches V2 On Sonic Network, Enabling Users To Access Risk-Isolated Markets


In Brief

Silo announced the launch of its V2 protocol on Sonic, allowing users on the Layer 1 network to access risk-isolated markets.

Silo Launches V2 On Sonic Network, Enabling Users To Access Risk-Isolated Markets

Non-custodial decentralized finance (DeFi) lending marketplace, Silo announced the launch of its V2 protocol on Sonic, allowing users on the high-performance Layer 1 network to access risk-isolated markets. This V2 release comes after thorough auditing and introduces programmable lending markets to Sonic for the first time.

With the successful completion of several audits, Silo V2 has exited its beta phase and begun rolling out isolated lending markets across various chains, starting with Sonic. Over $400 million is currently locked into Silo V2, enabling Sonic users to earn yields on their capital while reducing associated risks.

Looking ahead, Silo plans to expand to additional chains, including Mainnet, Arbitrum, Base, and other Ethereum virtual machine (EVM) Layer 2 and EVM-compatible networks. 

Silo V2: Introducing Customizable Twin-Asset Lending Markets For ERC-20 Tokens, Permissionless Market Deployment, And Deployer Revenue

Silo V2 builds upon the achievements of its predecessor, V1, which has enabled loans totaling hundreds of millions of dollars across more than 50 isolated lending pools on Ethereum and various Layer 2 networks, while consistently maintaining solvency. The upgraded V2 protocol introduces customizable twin-asset lending markets for any ERC-20 token, giving deployers the ability to adjust loan-to-value (LTV) ratios, liquidation thresholds, oracles, and interest rate models.

Notable features of Silo V2 include permissionless market deployment and optional “hooks” that facilitate new functionalities, such as connecting market clusters, directing idle liquidity to other decentralized applications (dApps) for yield generation, or creating fixed-term and permissioned markets for regulated assets. The adoption of the ERC-4626 standard ensures smooth integration with third-party platforms.

V2’s modular liquidation and interest rate options – including traditional, auction-based, or fixed-rate models – provide greater flexibility for a wide range of assets, from stablecoins to real-world assets (RWAs). A dual-oracle system further mitigates bad debt risks by separating the calculations for LTV and liquidation thresholds. 

The V2 launch also introduces deployer revenue, an optional fee on interest and incentives that is accrued by market creators as an ERC-721 token. This feature encourages the development of customized markets. Silo V2’s isolated design helps mitigate systemic risks commonly associated with traditional pooled lending.

Silo V2 on Sonic is built to provide secure and flexible lending solutions. Its programmable markets enable deployers to tailor the platform to specific goals, such as optimizing yield or managing risk, while maintaining the isolation that protects users from broader systemic failures.

Sonic’s infrastructure supports Silo V2 with an emphasis on scalability and developer tools, enhancing the platform’s ability to enable new decentralized lending use cases. 

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

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Alisa Davidson










Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.








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Gate.io Releases GT Performance Analysis, Reporting 65% Gain In 90 Days

Gate.io Releases GT Performance Analysis, Reporting 65% Gain In 90 Days


In Brief

Gate.io has released an analysis of GT’s performance, examining its underlying technology, ecosystem, and market strategies, while comparing it to other crypto exchange tokens to provide insights.

Gate.io Releases GT Performance Analysis, Reporting 65% Gain In 90 Days

Cryptocurrency exchange Gate.io announced the release of a comprehensive analysis of the rise of GT, its native token, in spite of broader market challenges. This analysis explores the underlying technology, ecosystem, and market strategies of GT, while also comparing it to other prominent exchange tokens to offer useful insights for investors and industry professionals. 

Despite the overall decline in the market, GT has managed to stand out. As reported by CoinMarketCap, GT experienced a surge of up to 65% over the past 90 days, placing it among the top 10 tokens in the top 100 by market capitalization. 

The data further illustrates GT’s impressive performance over the past year. Its annual gain exceeded 300%, reaching a peak of $17.699 in December 2024 with a 24-hour increase of 20.1%. In January 2025, GT reached a high of $25.960, and its total circulating market cap exceeded $2.5 billion. By March 2025, GT’s price had fluctuated between $21.3 and $22.5, showing a nearly 60-day increase of 11.44%, highlighting its strong market performance.

In the cryptocurrency market, periods of bull and bear cycles are common, yet few assets manage to maintain stability during these shifts. Over the past year, GT has displayed exceptional resilience, a key factor in its market performance. This resilience is evident not only in its price stability but also in its consistent trading activity and increasing volume.

From a technical standpoint, the GateChain network completed its v1.1.6 mainnet upgrade in August 2024. This update introduced a new gas mechanism and burn strategy, establishing the foundation for the ecosystem’s steady growth. The updated gas-burning mechanism reduces the total supply of GT, increasing its scarcity and potential value. These technological advancements contribute to a deflationary environment, offering solid technical support for GT’s long-term development.

In terms of market factors, GT’s resilience is also driven by its wide range of uses within the ecosystem. It plays a key role in trading fee discounts, VIP privileges, staking rewards, and on-chain governance, ensuring consistent demand in the market. These varied applications enhance GT’s market value, helping it maintain trading activity and volume even amid market volatility.

Ecosystem Empowerment Drives Global User Growth

The development of a strong ecosystem is a crucial indicator of a project’s potential for future growth, and GT has demonstrated a progress in this regard. By swiftly launching innovative products and services, GT has successfully accelerated user adoption and fostered substantial growth. As of March 2025, Gate.io’s global user base has exceeded 21 million.

In addition, by the fourth quarter of 2024, the Gate Web3 ecosystem had notably improved its multi-chain support, expanding to 199 public chains and adding over 54 million new addresses. As more applications and public chains integrate with the ecosystem, GT is expected to play an increasingly important role across this expanding network.

Recent updates reveal that GateChain intends to continue enhancing core functionalities, including DApp development, and to broaden its Web3 ecosystem to cover wallets, trading, earning, non-fungible tokens (NFTs), and meme tokens. This ongoing strengthening of the ecosystem is anticipated to increase GT’s value, attract more potential users, and create richer application scenarios and investment opportunities.

Estimate Recovery: Strong Scarcity And Market Confidence

Furthermore, the estimate recovery and growth of a project in the market is an essential sign of its acceptance, and GT’s performance in this area has been noteworthy. Thanks to its innovative and continuous burn mechanism, the circulating supply of GT has steadily decreased, enhancing its scarcity.

As the Utility Token and Gas Fee Payment Token on GateChain, GT is essential to the network’s core transfer system. Since the launch of GateChain in 2019, GT has been regularly burned, reducing its total supply by roughly 60% from its original 300 million tokens. 

Recent data shows that in Q4 2024, GT underwent an on-chain burn, with 2,904,885.4321514 tokens destroyed, valued at more than $63.9 million. To date, a total of 177 million GT tokens have been burned, positioning GT as a leader in burn scale within the industry.

In terms of market capitalization, GT has experienced notable growth in both value and ranking over the past two years. In early 2024, GT’s market cap was under $1 billion, but by March 2025, it had surpassed $2.6 billion, placing it among the top 50 cryptocurrencies globally. Currently, GT holds a market cap of $2.68 billion, ranking 46th.

GT Breaks Through Amid Intense Competition With BNB And OKB

In the competitive cryptocurrency market, GT contends with established leaders like BNB and OKB. A comparative analysis highlights GT’s strategies for survival and potential for growth as it competes against these major players.

GT’s success can largely be attributed to its flexible innovation strategy. By quickly expanding into emerging markets and consistently launching new products and services that meet market demand, GT has been able to seize opportunities and strengthen its market position. This proactive approach not only enhances its competitiveness but also provides a valuable window of opportunity in its competition with established players.

GT’s innovation extends beyond just technological advancements; it also includes sharp market insights and a swift response to changes. This ability enables GT to quickly adjust to market shifts, capture a market share in a short time, and establish a strong competitive advantage.

In comparison, long-established players like BNB and OKB maintain their positions through strong ecosystem integration. BNB, for example, fosters synergistic growth by forming close partnerships with various collaborators and platforms, enhancing its competitiveness across multiple sectors.

Regarding token burn mechanisms, GT currently has a circulating supply of 96 million tokens and a burn rate of 58.06%. This gives it the highest burn rate, the lowest circulating supply, and the most notable scarcity among its competitors. On the other hand, BNB follows a more conservative burn strategy, yet its market cap outpaces GT’s, with BNB’s market cap being more than ten times greater, securing its position in the fifth spot.

GT’s fast rise in the cryptocurrency market is the result of several factors converging. Its performance during market downturns is due to its resilience, efficient ecosystem development, and ongoing recovery efforts. Through its dynamic competition with established industry players, GT has carved out a place for itself by leveraging innovation and unique advantages.

As the cryptocurrency market and Web3 ecosystem continue to grow, tokens like BNB, OKB, and GT are expected to play increasingly important roles, capturing more market share and gaining greater user trust. While exchange tokens have shown strong potential for industry growth, uncertainties remain, and their future paths will face ongoing challenges.

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

More articles


Alisa Davidson










Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.








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How Does Blockchain Work? A Beginner’s Guide – Nextrope – Your Trusted Partner for Blockchain Development and Advisory Services

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How Does Blockchain Work? A Beginner’s Guide – Nextrope – Your Trusted Partner for Blockchain Development and Advisory Services


Introduction

Web3 backend development is essential for building scalable, efficient and decentralized applications (dApps) on EVM-compatible blockchains like Ethereum, Polygon, and Base. A robust Web3 backend enables off-chain computations, efficient data management and better security, ensuring seamless interaction between smart contracts, databases and frontend applications.

Unlike traditional Web2 applications that rely entirely on centralized servers, Web3 applications aim to minimize reliance on centralized entities. However, full decentralization isn’t always possible or practical, especially when it comes to high-performance requirements, user authentication or storing large datasets. A well-structured backend in Web3 ensures that these limitations are addressed, allowing for a seamless user experience while maintaining decentralization where it matters most.

Furthermore, dApps require efficient backend solutions to handle real-time data processing, reduce latency, and provide smooth user interactions. Without a well-integrated backend, users may experience delays in transactions, inconsistencies in data retrieval, and inefficiencies in accessing decentralized services. Consequently, Web3 backend development is a crucial component in ensuring a balance between decentralization, security, and functionality.

This article explores:

When and why Web3 dApps need a backend

Why not all applications should be fully on-chain

Architecture examples of hybrid dApps

A comparison between APIs and blockchain-based logic

This post kicks off a Web3 backend development series, where we focus on the technical aspects of implementing Web3 backend solutions for decentralized applications.

Why Do Some Web3 Projects Need a Backend?

Web3 applications seek to achieve decentralization, but real-world constraints often necessitate hybrid architectures that include both on-chain and off-chain components. While decentralized smart contracts provide trustless execution, they come with significant limitations, such as high gas fees, slow transaction finality, and the inability to store large amounts of data. A backend helps address these challenges by handling logic and data management more efficiently while still ensuring that core transactions remain secure and verifiable on-chain.

Moreover, Web3 applications must consider user experience. Fully decentralized applications often struggle with slow transaction speeds, which can negatively impact usability. A hybrid backend allows for pre-processing operations off-chain while committing final results to the blockchain. This ensures that users experience fast and responsive interactions without compromising security and transparency.

While decentralization is a core principle of blockchain technology, many dApps still rely on a Web2-style backend for practical reasons:

1. Performance & Scalability in Web3 Backend Development

Smart contracts are expensive to execute and require gas fees for every interaction.

Offloading non-essential computations to a backend reduces costs and improves performance.

Caching and load balancing mechanisms in traditional backends ensure smooth dApp performance and improve response times for dApp users.

Event-driven architectures using tools like Redis or Kafka can help manage asynchronous data processing efficiently.

2. Web3 APIs for Data Storage and Off-Chain Access

Storing large amounts of data on-chain is impractical due to high costs.

APIs allow dApps to store & fetch off-chain data (e.g. user profiles, transaction history).

Decentralized storage solutions like IPFS, Arweave and Filecoin can be used for storing immutable data (e.g. NFT metadata), but a Web2 backend helps with indexing and querying structured data efficiently.

3. Advanced Logic & Data Aggregation in Web3 Backend

Some dApps need complex business logic that is inefficient or impossible to implement in a smart contract.

Backend APIs allow for data aggregation from multiple sources, including oracles (e.g. Chainlink) and off-chain databases.

Middleware solutions like The Graph help in indexing blockchain data efficiently, reducing the need for on-chain computation.

4. User Authentication & Role Management in Web3 dApps

Many applications require user logins, permissions or KYC compliance.

Blockchain does not natively support session-based authentication, requiring a backend for handling this logic.

Tools like Firebase Auth, Auth0 or Web3Auth can be used to integrate seamless authentication for Web3 applications.

5. Cost Optimization with Web3 APIs

Every change in a smart contract requires a new audit, costing tens of thousands of dollars.

By handling logic off-chain where possible, projects can minimize expensive redeployments.

Using layer 2 solutions like Optimism, Arbitrum and zkSync can significantly reduce gas costs.

Web3 Backend Development: Tools and Technologies

A modern Web3 backend integrates multiple tools to handle smart contract interactions, data storage, and security. Understanding these tools is crucial to developing a scalable and efficient backend for dApps. Without the right stack, developers may face inefficiencies, security risks, and scaling challenges that limit the adoption of their Web3 applications.

Unlike traditional backend development, Web3 requires additional considerations, such as decentralized authentication, smart contract integration, and secure data management across both on-chain and off-chain environments.

Here’s an overview of the essential Web3 backend tech stack:

1. API Development for Web3 Backend Services

Node.js is the go-to backend runtime good for Web3 applications due to its asynchronous event-driven architecture.

NestJS is a framework built on top of Node.js, providing modular architecture and TypeScript support for structured backend development.

2. Smart Contract Interaction Libraries for Web3 Backend

Ethers.js and Web3.js are TypeScript/JavaScript libraries used for interacting with Ethereum-compatible blockchains.

3. Database Solutions for Web3 Backend

PostgreSQL: Structured database used for storing off-chain transactional data.

MongoDB: NoSQL database for flexible schema data storage.

Firebase: A set of tools used, among other things, for user authentication.

The Graph: Decentralized indexing protocol used to query blockchain data efficiently.

4. Cloud Services and Hosting for Web3 APIs

When It Doesn’t Make Sense to Go Fully On-Chain

Decentralization is valuable, but it comes at a cost. Fully on-chain applications suffer from performance limitations, high costs and slow execution speeds. For many use cases, a hybrid Web3 architecture that utilizes a mix of blockchain-based and off-chain components provides a more scalable and cost-effective solution.

In some cases, forcing full decentralization is unnecessary and inefficient. A hybrid Web3 architecture balances decentralization and practicality by allowing non-essential logic and data storage to be handled off-chain while maintaining trustless and verifiable interactions on-chain.

The key challenge when designing a hybrid Web3 backend is ensuring that off-chain computations remain auditable and transparent. This can be achieved through cryptographic proofs, hash commitments and off-chain data attestations that anchor trust into the blockchain while improving efficiency.

For example, Optimistic Rollups and ZK-Rollups allow computations to happen off-chain while only submitting finalized data to Ethereum, reducing fees and increasing throughput. Similarly, state channels enable fast, low-cost transactions that only require occasional settlement on-chain.

A well-balanced Web3 backend architecture ensures that critical dApp functionalities remain decentralized while offloading resource-intensive tasks to off-chain systems. This makes applications cheaper, faster and more user-friendly while still adhering to blockchain’s principles of transparency and security.

Example: NFT-based Game with Off-Chain Logic

Imagine a Web3 game where users buy, trade and battle NFT-based characters. While asset ownership should be on-chain, other elements like:

Game logic (e.g., matchmaking, leaderboard calculations)

User profiles & stats

Off-chain notifications

can be handled off-chain to improve speed and cost-effectiveness.

Architecture Diagram

Below is an example diagram showing how a hybrid Web3 application splits responsibilities between backend and blockchain components.

Hybrid Web3 Architecture

Comparing Web3 Backend APIs vs. Blockchain-Based Logic

FeatureWeb3 Backend (API)Blockchain (Smart Contracts)Change ManagementCan be updated easilyEvery change requires a new contract deploymentCostTraditional hosting feesHigh gas fees + costly auditsData StorageCan store large datasetsLimited and expensive storageSecuritySecure but relies on centralized infrastructureFully decentralized & trustlessPerformanceFast response timesLimited by blockchain throughput

Reducing Web3 Costs with AI Smart Contract Audit

One of the biggest pain points in Web3 development is the cost of smart contract audits. Each change to the contract code requires a new audit, often costing tens of thousands of dollars.

To address this issue, Nextrope is developing an AI-powered smart contract auditing tool, which:

Reduces audit costs by automating code analysis.

Speeds up development cycles by catching vulnerabilities early.

Improves security by providing quick feedback.

This AI-powered solution will be a game-changer for the industry, making smart contract development more cost-effective and accessible.

Conclusion

Web3 backend development plays a crucial role in scalable and efficient dApps. While full decentralization is ideal in some cases, many projects benefit from a hybrid architecture, where off-chain components optimize performance, reduce costs and improve user experience.

In future posts in this Web3 backend series, we’ll explore specific implementation details, including:

How to design a Web3 API for dApps

Best practices for integrating backend services

Security challenges and solutions

Stay tuned for the next article in this series!



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Gasless USDT-TRC-20 Transactions Now Live On Tonkeeper Pro

Gasless USDT-TRC-20 Transactions Now Live On Tonkeeper Pro


In Brief

Tonkeeper announced that Tonkeeper Pro now supports USDT TRC-20 tokens without requiring the acquisition of TRX.

Gasless USDT-TRC-20 Transactions Now Live On Tonkeeper Pro

Tonkeeper Wallet, a platform for TON blockchain, announced that its upgraded version, Tonkeeper Pro now supports USDT TRC-20 tokens without requiring the acquisition of TRX. The transaction fees are covered by Tonkeeper Battery, a feature that can be funded with either TON or USDT. 

This service is available for in-app purchases on both iOS and Android devices. The Tonkeeper Battery allows users to preload credits into their wallets, from which transfer fees will be automatically deducted. Additionally, the battery supports a variety of tokens for preloading and facilitates top-ups via bank card through in-app purchases. 

“The mission of Tonkeeper is to make crypto payments easy for everyone and everything,” said CEO Oleg Andreev in a written statement. “With USDT-TRC-20 support in Tonkeeper Pro, users can make USDT payments without having to hold TRX on balance: fees are covered by Tonkeeper Battery. Support for USDT-TRC-20 makes it easier for people to gradually transition to USDT on TON, where transaction fees are significantly lower,” he added.

With the addition of USDT TRC-20 support, Tonkeeper Pro further establishes itself as a payments-focused wallet, enabling users to securely send and receive USDT TRC-20 payments across the TON and TRON ecosystems. Tonkeeper Battery ensures seamless transactions without the need to hold TRX for network fees.

A key challenge in Web3 is maintaining sufficient TRX to cover transaction fees. On the TRON network, USDT transfers require energy and bandwidth, which means users either need to use their available bandwidth or purchase additional resources with TRX.

Tonkeeper Battery, a built-in feature that streamlines transactions, removes this complication. It automatically calculates the required energy and bandwidth, covers the associated costs, and processes the transaction—without the need for TRX. Since its launch, Tonkeeper Battery has supported over 9 million transactions, becoming an essential tool for users managing on-chain payments.

In order to access the new TRC-20 feature, Tonkeeper Pro users can launch the desktop wallet and navigate to Settings. After enabling TRC-20, they can charge Tonkeeper Battery with supported tokens or a bank card, allowing them to send USDT TRC-20 payments without needing TRX for transaction fees.

What Is Tonkeeper Pro?

Tonkeeper is a leading non-custodial wallet for the TON blockchain, known for innovations such as Tonkeeper Battery, which helps manage token and non-fungible token (NFT) fees, and TON Connect, providing secure connections to thousands of Web3 apps.

Tonkeeper Pro is the extended version of Tonkeeper, designed for advanced users, including Web3 enthusiasts, DAOs, and businesses that need a powerful and efficient solution for managing digital assets. Tonkeeper Pro offers a range of features such as Multi-Send, Multisig Wallets, Multi-Accounts, Gasless Transactions, Tonkeeper Battery, and Ledger Support. It is available across all major platforms, including iPad, Linux, Web, and Desktop.

In addition to its advanced functionality, Tonkeeper prioritizes strong security for both individual users and project teams. Furthermore, Tonkeeper boasts the largest developer platform on the TON blockchain, with its TON API being used by over 80% of projects in the ecosystem. 

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

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Alisa Davidson










Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.








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MEXC Report: Memecoins Made Almost 50% of New Token Listings In February

MEXC Report: Memecoins Made Almost 50% of New Token Listings In February


In Brief

MEXC has released token listing and trading data for January and February, highlighting strong market demand for new tokens, particularly memecoins, despite overall market volatility and downturn.

MEXC Report: Memecoins Made Almost 50% of New Token Listings In February

 MEXC, the leading global cryptocurrency exchange, has released token listing and trading data for January and February, highlighting strong market demand for new tokens, particularly memecoins, despite overall market volatility and downturn. 

Key Takeaways:

Meme coins accounted for 50% of all new tokens listed in January and February.

Seven out of the top 10 tokens by trading volume were launched in February, highlighting continuous demand for promising listings despite market volatility.

The average peak increase for new tokens jumped from 388% in January to 660% in February, with TST surging by 4,792% and ELONSOL rising by 1,128%.

Four of the five best-performing tokens — TST, ELONSOL, MELANIA, and CAR — were linked to public figures, driven by the power of social trends.

TRUMP accounted for over 45% of the total trading volume for new tokens.

The report covers 451 new tokens listed on MEXC between January and February, with memecoins accounting for approximately 50% (245 tokens). This trend reflects the growing investor appetite for community-driven and viral digital assets. 

MEXC Report: Memecoins Made Almost 50% of New Token Listings In February

The findings reflect the growing investor appetite for community-driven assets. Among the top 10 new tokens by trading volume, seven were launched in February, demonstrating sustained demand for high-profile listings despite a more subdued overall market trend in January.

MEXC Report: Memecoins Made Almost 50% of New Token Listings In February

February outperformed January in terms of average peak increases for new tokens, with the figure climbing from 388% to 660%. TST led the surge, reaching a staggering 4,792% increase, with ELONSOL following at 1,128%. The top 10 new tokens by trading volume recorded an average peak increase of 756%, underscoring the high level of trader interest and market activity.

Celebrity and politically themed memecoins demonstrated significant price surges, with four of the top five best-performing tokens — TST, ELONSOL, MELANIA, and CAR — linked to public figures. The top three memecoins (TST, ELONSOL, and MELANIA) recorded an average peak increase of 2,338%, compared to 640% for the top three non-meme tokens (BSX, J, and RIZ).

MEXC Report: Memecoins Made Almost 50% of New Token Listings In February

The TRUMP token was a dominant force in the market, accounting for over 45% of the total trading volume for new tokens. It attracted significant market liquidity and investor interest, strengthening its position as a top-performing asset. 

MEXC’s latest data highlights the continued demand for trendy tokens and social trends, with meme coins driving trading activity. The dominance of meme coins in listings and their record-breaking price surges highlight MEXC’s position as a leading exchange for discovering and trading early digital assets. As the exchange remains committed to supporting innovations and trends, its deep liquidity and diverse listings offer traders unique opportunities in the fast-moving digital asset space.

For more details, please visit link.

About MEXC

Founded in 2018, MEXC is committed to being “Your Easiest Way to Crypto”. Serving over 34 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, frequent airdrop opportunities, and low trading fees. Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding.

For more information, visit: MEXC Website|X|Telegram|How to Sign Up on MEXC

For media inquiries, please contact Lucia Hu: [email protected]

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.

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Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.



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How to Build a Profitable Crypto Portfolio in 2025: Which One Coin Must I Include That’s Not Stunted Like Ethereum?

How to Build a Profitable Crypto Portfolio in 2025: Which One Coin Must I Include That’s Not Stunted Like Ethereum?


In Brief

In 2025, the crypto market is rapidly growing, with new projects like Rexas Finance offering superior efficiency and real-world applications, positioning it as a must-have asset for building a profitable portfolio.

How to Build a Profitable Crypto Portfolio in 2025: Which One Coin Must I Include That’s Not Stunted Like Ethereum?

The cryptocurrency marketplace is undergoing rapid growth in 2025 as investors expand their pursuit of potentially lucrative assets that extend past Ethereum (ETH). The dominance of ETH invites new projects with superior efficiency, reduced costs and real-world applications to navigate its scalability issues while maintaining its status as an industry leader. Rexas Finance (RXS) emerges as a top RWA tokenization project, which shows tremendous potential in the cryptocurrency market of 2025. If you’re looking to build a profitable crypto portfolio, including RXS could be a game-changer. Here’s why Rexas Finance is the must-have coin of 2025.

Rexas Finance (RXS): The Future of Blockchain-Based Asset Trading

Rexas Finance (RXS) provides concrete value to users through its connection between cryptocurrency and conventional financial systems. Through its platform, users can purchase real-world assets such as real estate together with gold items and fine art from the estimated $500 trillion market value.

Why RXS Stands Out

Real-World Asset (RWA) Tokenization: Converts physical assets into liquid, tradeable digital tokens.

Innovative Tools: Includes the Rexas Token Builder, Rexas Launchpad, and QuickMint Bot for easy token generation.

Fractional Ownership: Through fractional ownership, investors can buy parts of high-value assets, which lowers entrance requirements.

Deflationary Tokenomics: built-in deflation mechanisms create long-term asset scarcity, which boosts its overall value.

Defi leadership belongs to Ethereum, yet congestion issues alongside elevated fees hamper its operational performance. RXS represents an appealing choice because this Ethereum-based ERC-20 standard enables users to access efficient and speedier payment processes at lower costs.

RXS Price Momentum: A Strong Buy Signal

Rexas Finance has seen a massive 566.67% increase in its presale, surging from $0.03 to $0.20. Investors are flocking to RXS, with over 453 million tokens sold and $46.6 million raised.

Key Indicators of RXS’s Future Growth

Presale Success: Each stage sold out early, proving high investor confidence.

Upcoming Exchange Listings: The official launch on June 19, 2025, at $0.25 could spark a major price rally.

Market Analysts’ Predictions: Experts forecast RXS could reach $20, marking a potential 100x return.

With Ethereum facing competition from faster networks, RXS provides a more scalable, real-world-driven alternative for investors seeking exponential growth.

Security and Market Trust

Rexas Finance has undergone a Certik audit, confirming strong security measures. The presence of the token on CoinMarketCap and CoinGecko improves transparency, which enables investors to monitor its performance.

Why RXS Could Outperform ETH in 2025

Mass Adoption of RWA Tokenization – As businesses and individuals embrace tokenized assets, RXS stands to gain significantly.

Deflationary Supply Model – Unlike ETH, which lacks a consistent burn mechanism, RXS’s decreasing supply could drive its price higher.

Scalability & Efficiency – Ethereum still struggles with high gas fees, while RXS provides a cost-effective solution for asset tokenization.

Final Verdict: Should You Include RXS in Your Portfolio?

Absolutely. Rexas Finance (RXS) stands out as the top altcoin to own in 2025 based on its robust presale performance and its practical use cases and predicted upward trend. People seeking the next major cryptocurrency investment beyond Ethereum should prioritize getting RXS tokens. Invest now before the June 19, 2025 launch, and you could maximize your profits before mass adoption takes off. 

Website: https://rexas.com

Whitepaper: https://rexas.com/rexas-whitepaper.pdf

Twitter/X: https://x.com/rexasfinance

Telegram: https://t.me/rexasfinance

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.

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Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.



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Top NFT Collections – March 14, 2025 | NFT CULTURE | NFT News | Web3 Culture | NFTs & Crypto Art

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Top NFT Collections – March 14, 2025 | NFT CULTURE | NFT News | Web3 Culture | NFTs & Crypto Art


Top NFT Collections (Last 24h)

Here are the hottest NFT Collections of the day.

Rank

Name
Volume
Transactions
Chains
URL

1

One Gravity
696.97 ETH
1274
ethereum
View

2
CryptoPunks
CryptoPunks
669.14 ETH
13
ethereum
View

3
Good Vibes Club
Good Vibes Club
337.78 ETH
2053
ethereum
View

4
Pudgy Penguins
Pudgy Penguins
197.85 ETH
22
ethereum
View

5
Azuki
Azuki
113.70 ETH
46
ethereum
View

6
Bored Ape Yacht Club
Bored Ape Yacht Club
103.63 ETH
8
ethereum
View

7
Mutant Ape Yacht Club
Mutant Ape Yacht Club
89.89 ETH
38
ethereum
View

8
SMB Gen2
SMB Gen2
0.00 ETH
57
solana
View

9
OKX NFT Creation
OKX NFT Creation
72.68 ETH
67
polygon
View

10
Lil Pudgys
Lil Pudgys
62.40 ETH
62
ethereum
View

The post Top NFT Collections – March 14, 2025 appeared first on NFT CULTURE.



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Stunning Aberdeen Home Listed by Love Pines Realty | Web3Wire

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Stunning Aberdeen Home Listed by Love Pines Realty | Web3Wire


385 Shepherd Trail Property Is Now Available for SaleMarch 13, 2025 – Real Estate Agent Jennifer L Carlson is pleased to present 385 Shepherd trail for sale. The adorable modern ranch home is positioned conveniently in Aberdeen on NC 5. Very close to a popular franchise of restaurants and shopping stores. Less than 3 miles from the downtown Main Street in Aberdeen. Approximately six miles to the popular Village of Pinehurst. Close proximity to Fort Bragg Military base… Call Jennifer L Carlson to schedule an appointment to see this home for sale in Aberdeen.

Image: https://www.abnewswire.com/upload/2025/03/e64eeb43f4d0883416f9ff9ce9348494.jpg

The home for sale at 385 Shepherd Trail is situated in friendly neighborhood. Excellent curb appeal with the ideal backyard for watching your pup play, or starting your very first garden! This home is just over 1500 square feet. Feels much larger due to the vaulted ceiling in the living room. This home encompasses 3 bedrooms, 2 full baths. The owners suite bathroom offers a sizeable garden tub that could be used to sooth your achy muscles… A glass of wine? With a good book in hand? The home has updated lighting, neutral paint colors, and has been well maintained. The backyard feels incredibly private overlooking wooded green space. In the mornings enjoy a peaceful cup of coffee off the back patio. You will fall in love with this move in ready home in Moore County, North Carolina.

Open House on Sunday March 16th from 12:00pm – 3:00pm

Aberdeen, North Carolina the quaint little railroad town “Anchored by a thriving arts community with diverse musical venues, Downtown Aberdeen is now on track as a regional destination for home decor and design, and an uncommon collection of creative entrepreneurs offering specialty retail and services. Downtown Aberdeen is a place of opportunity for all ages.” (http://www.downtownaberdeen.net)

Image: https://www.abnewswire.com/upload/2025/03/596f2893779e6e2be84a6d7006ac11ee.jpg

The town of Aberdeen encourages citizens to get involved, open a business, join a board, become part of the community. Military personnel will find they’re close enough to commute to Fort Bragg, but far enough away for their local coffee shop barista to remember their name. Aberdeen is convenient to Uwharrie National Forest, or day trips to the beach or the mountains.

‘Love Pines Realty services all areas surrounding Ft Bragg North Carolina, including Southern Pines, Pinehurst, Whispering Pines, Carthage, Aberdeen, West End, Pinebluff, Vass, Cameron, Sanford, Fayetteville, & Raeford.

For more information, please visit: https://www.lovepines.com

Media ContactCompany Name: Love Pines RealtyContact Person: Jennifer L Carlson – Owner, Broker, RealtorEmail:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=stunning-aberdeen-home-listed-by-love-pines-realty]City: PinehurstState: North CarolinaCountry: United StatesWebsite: https://www.lovepines.com

Legal Disclaimer: Information contained on this page is provided by an independent third-party content provider. ABNewswire makes no warranties or responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you are affiliated with this article or have any complaints or copyright issues related to this article and would like it to be removed, please contact retract@swscontact.com

This release was published on openPR.

About Web3Wire Web3Wire – Information, news, press releases, events and research articles about Web3, Metaverse, Blockchain, Artificial Intelligence, Cryptocurrencies, Decentralized Finance, NFTs and Gaming. Visit Web3Wire for Web3 News and Events, Block3Wire for the latest Blockchain news and Meta3Wire to stay updated with Metaverse News.



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Days of our Lives: Joy Needs Philip to Pretend to Be Baby Daddy?

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    Days of our Lives: Joy Needs Philip to Pretend to Be Baby Daddy?


    Days of Our Lives spoilers predicted that Joy Wesley (AlexAnn Hopkins) is pregnant and doesn’t want the biological father to know. So I’m wondering if she might hit up Philip Kiriakis (John-Paul Lavoisier) for a huge favor.

    We’re going to talk about how weird it would be if Joy goes this route, but there have been a lot of hints. So, Philip may find himself neck-deep in more drama soon. Let’s talk about how twisted this might get.

    Joy Wesley’s Troubles in Salem: A Rocky Start on Days of our Lives

    Joy has not had the best of luck since she came to Salem. Her mom, Nancy Wesley (Patrika Darbo), dragged her there for a soap audition. And then she landed the job, it seemed like a dream come true.

    But then it’s kind of turned nightmarish as it goes along, starting from really early on in her tenure in Salem. Before Joy even auditioned for the soap, if you remember, she ran into a really honky guy at a small bar who was a very upset Johnny DiMera (Carson Boatman).

    That was back when he thought Chanel Dupree (Raven Bowens) had cheated with Alex Kiriakis (Robert Scott Wilson) because of mistaken identity. Dr. Seth saw Alex on top of some lucky lady on the set of Body and Soul.

    And Seth didn’t take a close look. He assumed it was Alex’s scene partner, Chanel, rather than Stephanie Johnson (Abigail Klein). Johnny instantly thought the worst about his wife on Days of Our Lives.

    And Joy was listening to Johnny rant that night about his cheating wife, who she didn’t know, she’d never met her, she was new in town.

    The Alex and Joy Connection: From Friendship to Bedroom on DOOL

    Alex and Johnny headed back to her room at the Salem Inn and started getting frisky, but then they stopped. They did not do the deed. Meanwhile, Alex and Joy became friends after the soap slapped that dating ban on him and Stephanie.

    And they kept getting gradually closer as friends up until New Year’s Eve. That’s when Joy went to the DiMera party as Alex’s date on Days of Our Lives. That night was when it all blew up. Chanel raged at Joy, who insisted it was all a huge mistake.

    Of course, Alex was upset also because Stephanie brought Philip to the party. And he was being all creepy and kissing Stephanie while eyeballing Alex. It was just a mess. Joy was hurting because of how furious Chanel was at her.

    And Alex was creeped out by Philip and upset about Stephanie. So Alex and Joy wound up in bed. And then they kept winding up in bed over and over until Stephanie decided she wanted Alex back and quit the soap to be with him.

    Joy’s Downward Spiral on Days of our Lives – Poisoning, Recasting, and Rejection

    Then Joy was hit with a one-two-three punch of just awful things happening. She was poisoned by crazy Nurse Whitley King (Kim Coles), left alone and nearly died because Alex left her in bed and went over to Stephanie.

    Then Joy found out the soap ended, which meant move to LA or lose her job. And she was going to move, but then they recast. Even worse, she was kind of falling for Alex, who clearly only saw her as a casual thing just to fill in because he couldn’t have Stephanie.

    Then Joy saw Alex kissing Stephanie even before he called things quit with her while she was still feeling like crap from being poisoned and almost dying. That was just a whole lot of bad things happening to Joy all at once.

    Then, lo and behold, her period is late. And now we know she is pregnant, but she lied and told Alex and Stephanie that she wasn’t. I’m sure it’s because Joy knows Alex doesn’t want her on Days of Our Lives.

    He’s head over heels for Stephanie. And after the drama of being caught between Johnny and Chanel, that’s the last thing Joy wants.

    But given that she can’t hide a baby bump forever, Alex may realize she lied when she said she wasn’t pregnant. Unless, of course, Joy finds somebody else to play baby daddy on Days of our Lives.

    Could Philip Kiriakis Be the Fake Baby Daddy on Days of our Lives?

    Just the other day, if you remember, Philip Kiriakis (John-Paul Lavoisier) saw Joy sitting in Town Square upset. And he asked if there was anything he could do to help. Philip knows that Joy’s not happy with him because of how he did her sister Chloe Lane (Nadia Bjorlin).

    But Joy was willing to kind of drop that, let it be bygones. Then, she asked Philip for a job. And he made that happen. I wonder if Joy is going to ask Philip for an even bigger favor next. I mean, it’d be scandalous, but would Joy ask Philip to pretend to be her baby daddy?

    Now, he’s a few years older than Joy and was involved with her older sister Chloe. So, it would raise eyebrows. But I’m guessing also if Joy asked, Philip’s knee-jerk reaction would be to say heck no, don’t know, no way.

    But don’t forget, Philip’s got a big secret of his own. Sarah Horton (Linsey Godfrey) and Kate Roberts (Lauren Koslow) both know about Vivian Alamain‘s forged letter that got the court to give Philip half of Titan.

    Leveraging Philip’s Secrets: A Soapy Twist on Days

    Now and then, Kate drops by the office to talk about it. And Sarah talks to Philip about the fraud at home now and then. So, Joy might overhear Philip’s dirty secret and use it to leverage him into helping her do a dirty secret of her own.

    And so, he may help cover up that Alex got her pregnant. I can’t imagine that Philip would agree to be her fake impregnator without Joy finding some way to force his hand. I think she could make it happen despite is bothering him because of Chloe.

    Philip’s fraud is really his only dirty secret right now. So, Joy would have to discover that or somehow just massage his guilt over what he did to Chloe. But Joy using Philip as a fake father for her baby would be very typical soapy stuff, so it’s plausible.

    Days of our Lives - Joy and Philip
    Days of our Lives: Joy and Philip

    Avoiding Alex and Stephanie: Joy’s Motivation on Days of our Lives

    Once Joy starts showing, Alex and Stephanie can do the math. And maybe they figure out Joy is carrying Alex’s baby, which is not an ideal outcome for Joy. But if she can avoid any questions by having a fake romance with someone else, that’s better for Joy.

    She doesn’t want to be around Alex and Stephanie watching their perfect romance after he rejected her. If Joy had a kid with Alex, then they’d be in her face for the rest of her life. And that’s why Joy lied about the pregnancy test results to start with.

    She does not want to be an obstacle in the way of Alex and Stephanie’s happiness. And Joy wants some happiness of her own.

    Awkward Entanglements and Potential Real Romance on DOOL

    What would make this even more awkward is that Philip was once engaged to Stephanie. And he had the hots for her again recently. But in a way, that might also be something Joy could use as a reason to persuade Philip to fake date her and pretend to be her baby’s father.

    You know, Philip might hope it would show Stephanie that he’s over her. And that getting dumped by her didn’t bother him. Of course if Chloe or Nancy come back to Salem and Joy is fake dating Philip and also pregnant, they would explode at him.

    I think it’d be even better if Joy was fake dating Philip and then it turned into a real romance, because Joy needs some love in her life, and so does Philip. So this could be a possible solution for Joy’s pregnancy problem. We’ll find out more soon and watch to see if Philip gets involved.



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    The Economics of Renting Cloud GPUs: A Comprehensive Breakdown

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    The Economics of Renting Cloud GPUs: A Comprehensive Breakdown


    With global cloud computing spending projected to soar to $1.35 trillion by 2027, businesses and individuals increasingly rely on cloud solutions. Within this landscape, cloud GPUs have become a major area of investment, particularly for AI, machine learning, and high-performance computing (HPC).

    The demand for GPU as a Service (GPUaaS) has fueled a massive market expansion. Valued at $3.23 billion in 2023, the GPUaaS market is expected to reach $49.84 billion by 2032. AI research, deep learning applications, and high-performance computational workloads drive this growth.

    However, is renting cloud GPUs the most cost-effective solution for businesses? Understanding cloud GPUs’ financial implications, use cases, and cost structures is crucial for making informed decisions.

    This article explores the economics of renting cloud GPUs, comparing different pricing models, discussing cost-saving strategies, and analyzing real-world scenarios to help you optimize your cloud computing budget.

    When Should You Rent a Cloud GPU?

    Cloud GPUs provide numerous advantages but are not always the right fit. Before committing to a cloud GPU rental, it’s essential to understand when it makes the most sense. Here are key scenarios where renting a cloud GPU is beneficial:

    1. Short-Term Projects and Peak Demand

    Project-Based Workloads: Renting is more practical than investing in expensive hardware if your project requires high GPU power for a limited time—such as training AI models, rendering 3D animations, or running simulations. If your GPU usage fluctuates, cloud GPUs can scale up when demand is high and down when resources are no longer needed. This eliminates the inefficiency of idle hardware.

    2. Experimentation and Innovation

    Testing New Technologies: Cloud GPUs allow businesses and researchers to experiment with different GPU architectures without incurring large upfront costs. This is crucial for AI research, game development, and other exploratory projects. If you are unsure whether an AI or ML model will be viable, renting cloud GPUs allows you to test your ideas before investing in expensive on-premise infrastructure.

    3. Accessibility and Collaboration

    Democratizing Access to High-Performance GPUs: Not all organizations can afford high-end GPUs. Cloud services provide access to powerful GPU resources for startups, researchers, and developers. With cloud-based GPU computing, team members can work on shared resources, collaborate on machine learning projects, and access data remotely from anywhere.

    4. Reduced IT Overhead

    No Hardware Maintenance: Cloud providers handle GPU maintenance, software updates, and security patches, allowing your team to focus on core tasks. Cloud GPUs eliminate the need for physical data centers, reducing space, cooling systems, and power consumption costs.

    5. Cost-Effectiveness for Specialized Workloads

    Tailored GPU Instances: Many providers offer optimized GPU instances for specific workloads, such as deep learning or scientific computing. These options provide better performance at a lower cost than general-purpose GPUs.

    By analyzing these factors, businesses can determine whether cloud GPU rental is a strategic choice that aligns with their financial and operational goals.

    Understanding the Cost of Renting Cloud GPUs

    Renting a cloud GPU is not just about the hourly rental price—other factors influence the total cost of ownership (TCO), including workload requirements, pricing models, storage, and data transfer fees. Let’s examine the key cost components.

    1. Hourly vs. Reserved Pricing (Including Bare Metal and Clusters)

    On-Demand Instances: Many cloud providers offer pay-as-you-go pricing, which is ideal for short-term projects. For instance, renting an NVIDIA RTX 4090 on Spheron Network (Secure) costs $0.31 / hr. Best for: Users with unpredictable workloads who need flexibility.

    Reserved Instances: Reserved instances can save you 40–60% compared to on-demand pricing, if you require GPUs for extended periods. They are best for Long-term AI model training, HPC workflows, and large-scale simulations.

    Bare Metal Servers: Bare metal servers provide superior performance without virtualization overhead for applications that require dedicated resources and full control. For example, renting a bare metal server with 8 NVIDIA RTX 4090 (Secure) GPUs costs $2.48 /hr and 8 NVIDIA RTX 6000-ADA (Secure) costs $7.20 /hr on Spheron Network. They are best for Real-time AI inference, large-scale rendering, and performance-sensitive applications.

    GPU Clusters: GPU clusters offer high scalability for enterprises conducting parallel processing or large-scale deep learning training. Best for: Distributed AI training and large-scale computational tasks.

    2. Pricing by GPU Type

    Not all GPUs are priced equally. The cost of renting a GPU depends on its capabilities. High-end models like NVIDIA H200 or H100 cost significantly more than older models like the V100 or A4000. Matching the right GPU to your workload is essential to prevent overpaying for unnecessary performance.

    3. Storage and Data Transfer Costs

    Beyond GPU rental, cloud providers charge for:

    Storage: Storing 1TB of training data can cost $5 per month for standard storage, but SSD options cost more.

    Data Transfer Fees: Transferring large datasets between cloud regions can add significant expenses.

    4. Hidden Costs to Watch For

    Assessing your needs and considering scenarios like the one above can help you make smarter decisions about renting cloud GPUs. Let’s look at a real-world example to understand potential costs and how to save money.

    Case Study: Cost Breakdown of AI Model Training

    When planning an AI model training project, the first thought that often comes to mind is: “Let’s do it on‑premise!” In this case study, we’ll walk through the cost breakdown of building an on‑premise system for training AI models. We’ll begin by looking at the more cost‑efficient NVIDIA V100 GPUs.

    Suppose a company needs to train a deep learning model for computer vision. They require 8x NVIDIA V100 GPUs for 30 days. Here’s how the costs:

    On‑Premise Cost Breakdown Using NVIDIA V100 GPUs

    Not every training workload requires the absolute highest-end hardware. For many AI inference and moderate training workloads, an on-premise system with 8x NVIDIA V100 GPUs can be a viable choice. Here’s a breakdown of the estimated costs:

    ComponentEstimated Price (USD)Notes

    8 × NVIDIA V100 GPUs$24,000Approximately $3,000 per GPU (used market)

    Compute (CPUs Cost)$30,000High-performance CPUs for parallel processing

    1TB SSD Storage$1,200High-end NVMe drives

    Motherboard$10,000+Specialized board for multi-GPU configurations

    RAM$10,000 – $18,0002TB+ of high-speed DDR5 RAM (can be lower for some workloads)

    NVSwitch$10,000+Required for NVLink-enabled V100 clusters (higher bandwidth)

    Power Supply$5,000 – $8,000Higher power consumption (~250W per V100)

    Cooling$5,000+More aggressive cooling needed compared to V100 (liquid cooling preferred)

    Chassis$6,000+Specialized high-density GPU chassis

    Networking$2,500+High-bandwidth networking cards (100GbE or faster)

    Software & Licensing$6,000+OS, drivers, and specialized AI software

    Total Cost Estimate$109,700 – $134,700+Higher than L4-based setups due to increased power and cooling needs

    After this high-investment project, the Project can think it can recover the investment. One strategy to recover some of the capital investment for an on‑premise system is to resell the hardware on the aftermarket. However, for AI accelerators, the resale market often only returns a fraction of the original cost. For example, second‑hand NVIDIA GPUs might fetch only 40–60% of their new price, depending on market conditions and the hardware’s condition.

    If the resale value isn’t sufficient—if you’re unable to find buyers at your target price—the hardware could end up sitting idle (or “going to dust”), locking away capital and risking obsolescence.

    These challenges—high upfront costs, rapid depreciation, and idle hardware risk—drive many organizations toward cloud-based AI compute services. To understand this better, let’s compare the cloud compute platforms costs side by side.

    8x NVIDIA V100 GPU Rent Cost Breakdown

    ProviderPrice per Hour (1x V100)Price per Hour (8x V100s)Price per DayPrice per Month (30 Days)

    Google$4.69$37.52$900.48$27,014.40

    Amazon$3.76$30.08$721.92$21,657.60

    CoreWeave$1.02$8.16$195.84$5,875.20

    RunPod$0.23$1.84$44.16$1,324.80

    Spheron$0.10$0.80$19.20$576.00

    Spheron Network remains the most affordable option, being 47x cheaper than Google and 37x cheaper than Amazon for V100 compute. Let’s compare another GPU RTX 4090 rent cost.

    1 x RTX 4090 GPU Rent Cost Breakdown

    Cloud ProviderPrice per HourPrice per DayPrice per Month (720 hrs)

    Lambda Labs~$0.85/hr~$20.40~$612.00

    RunPod (Secure Cloud)~$0.69/hr~$16.56~$496.80

    GPU Mart~$0.57/hr~$13.68~$410.40

    Vast.ai Marketplace~$0.37/hr~$8.88~$266.40

    Together.ai~$0.37/hr~$8.88~$266.40

    RunPod (Community Cloud)~$0.34/hr~$8.16~$244.80

    Spheron Network (Secure)~$0.31/hr~$7.44~$223.20

    Spheron Network (Community)~$0.19/hr~$4.56~$136.80

    Note: Except Spheron Network rates, other platform approximate rates can vary based on configuration (CPU/RAM allocation), region, and pricing model (on‑demand, spot, etc.).

    Spheron Network offers the lowest rate at $0.31/hr(Secure) and $0.19/hr(Community), making it between 38.71% and 77.65% cheaper than the other providers in our list, depending on which you compare it to. Unlike traditional cloud providers, Spheron includes all utility costs (electricity, cooling, maintenance) in its hourly rate—no hidden fees.

    While Big cloud providers offer more flexibility and eliminate the maintenance burden, they aren’t always the most cost-efficient solution. Cloud computing is generally cheaper than an on-premise setup, but it’s not necessarily the optimal choice for all use cases. That’s why we have built Spheron Network.

    After reading the above analysis, you might wonder why Spheron is a more cost-effective option compared to other platforms.

    Spheron is a Decentralized Programmable Compute Network that simplifies how developers and businesses use computing resources. Many people see it as a tool for both AI and Web3 projects, but there is more to it than that. It brings together different types of hardware in one place, so you do not have to juggle multiple accounts or pricing plans.

    Spheron lets you pick from high-end machines that can train large AI models, as well as lower-tier machines that can handle everyday tasks, like testing or proof-of-concept work and deploying SLMs or AI agents. This balanced approach can save time and money, especially for smaller teams that do not need the most expensive GPU every time they run an experiment. Instead of making big claims about market sizes, Spheron focuses on the direct needs of people who want to build smart, efficient, and flexible projects.

    As of this writing, the Community GPUs powered by Spheron Fizz Node are below. Unlike traditional cloud providers, Spheron includes all utility costs in its hourly rate—there are no hidden fees or unexpected charges. You see the exact cost you have to pay, ensuring complete transparency and affordability.

    Spheron’s GPU marketplace is built by the community, for the community, offering a diverse selection of GPUs optimized for AI training, inference, machine learning, 3D rendering, gaming, and other high-performance workloads. From the powerhouse RTX 4090 for intensive deep learning tasks to the budget-friendly GTX 1650 for entry-level AI experiments, Spheron provides a range of compute options at competitive rates.

    By leveraging a decentralized network, Spheron not only lowers costs but also enhances accessibility, allowing individuals and organizations to harness the power of high-end GPUs without the constraints of centralized cloud providers. Whether you’re training large-scale AI models, running Stable Diffusion, or optimizing workloads for inference, Spheron Fizz Node ensures you get the most value for your compute needs.

    High-End / Most Powerful & In-Demand GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    1RTX 40900.19AI Inference, Stable Diffusion, LLM Training

    2RTX 4080 SUPER0.11AI Inference, Gaming, Video Rendering

    3RTX 40800.10AI Inference, Gaming, ML Workloads

    4RTX 4070 TI SUPER0.09AI Inference, Image Processing

    5RTX 4070 TI0.08AI Inference, Video Editing

    6RTX 4070 SUPER0.09ML Training, 3D Rendering

    7RTX 40700.07Gaming, AI Inference

    8RTX 4060 TI0.07Gaming, ML Experiments

    9RTX 40600.07Gaming, Basic AI Tasks

    10RTX 40500.06Entry-Level AI, Gaming

    Workstation / AI-Focused GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    11RTX 6000 ADA0.90AI Training, LLM Training, HPC

    12A400.13AI Training, 3D Rendering, Deep Learning

    13L40.12AI Inference, Video Encoding

    14P400.09AI Training, ML Workloads

    15V100S0.12Deep Learning, Large Model Training

    16V1000.10AI Training, Cloud Workloads

    High-End Gaming / Enthusiast GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    17RTX 3090 TI0.16AI Training, High-End Gaming

    18RTX 30900.15AI Training, 3D Rendering

    19RTX 3080 TI0.09AI Inference, Gaming, Rendering

    20RTX 30800.08AI Inference, Gaming

    21RTX 3070 TI0.08Gaming, AI Inference

    22RTX 30700.07Gaming, Basic AI

    23RTX 3060 TI0.07Gaming, 3D Rendering

    24RTX 30600.06Entry-Level AI, Gaming

    25RTX 3050 TI0.06Basic AI, Gaming

    26RTX 30500.06Basic AI, Entry-Level Workloads

    Older High-End / Mid-Range GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    27RTX 2080 TI0.08Gaming, ML, AI Inference

    28RTX 2060 SUPER0.07Gaming, Basic AI Training

    29RTX 20600.06Gaming, AI Experiments

    30RTX 20500.05Entry-Level AI, Gaming

    Entry-Level & Budget GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    31GTX 1660 TI0.07Gaming, ML Workloads

    32GTX 1660 SUPER0.07Gaming, ML Workloads

    33GTX 1650 TI0.05Basic AI, Gaming

    34GTX 16500.04Entry-Level AI, Gaming

    Older GPUs with Lower Demand & Power

    #GPU ModelPrice per Hour ($)Best for Tasks

    35GTX 10800.06Gaming, 3D Rendering

    36GTX 1070 TI0.08Gaming, AI Experiments

    37GTX 10600.06Gaming, Entry-Level ML

    38GTX 1050 TI0.07Entry-Level AI, Gaming

    Low-End Workstation GPUs

    #GPU ModelPrice per Hour ($)Best for Tasks

    39RTX 4000 SFF ADA0.16AI Training, Workstation Tasks

    40RTX A40000.09AI Inference, Workstation Workloads

    41T10000.06Entry-Level AI, Graphics Workloads

    Why Choose Spheron Over Traditional Cloud Providers?

    1. Transparent Pricing

    Spheron ensures complete cost transparency with all-inclusive rates. You won’t encounter hidden maintenance or utility fees, making it easier to budget your infrastructure expenses. Traditional cloud providers often impose complex billing structures that lead to unexpected costs, but Spheron eliminates that frustration.

    2. Simplifying Infrastructure Management

    One reason to look at Spheron is that it strips away the complexity of dealing with different providers. If you decide to host a project in the cloud, you often navigate a maze of services, billing structures, and endless documentation. That can slow development and force you to spend energy on system admin work instead of your core product. Spheron reduces that friction. It acts like a single portal where you see your available compute options at a glance. You can filter by cost, power, or any other preference. You can select top-notch hardware for certain tasks and switch to more modest machines to save money. This helps you avoid the waste when you reserve a large machine but only need a fraction of its power.

    3. Optimized for AI Workloads

    Spheron provides high-performance compute tailored for AI, machine learning, and blockchain applications. The platform offers:

    Bare metal servers for intensive workloads.

    Community GPUs for large-scale AI model training.

    Flexible configurations that let users scale resources as needed.

    4. Seamless Deployment

    Spheron removes unnecessary barriers to cloud computing. Unlike traditional cloud services that require lengthy signups, KYC processes, and manual approvals, Spheron lets users deploy instantly. Simply configure your environment and start running workloads without delays.

    5. Blending AI and Web3 Support

    Spheron unifies AI and Web3 by offering a decentralized compute platform that caters to both domains. AI developers can leverage high-performance GPUs for large-scale computations, while Web3 developers benefit from blockchain-integrated infrastructure. This combined approach allows users to run AI models and smart contract-driven applications on a single platform, reducing the need to juggle multiple services.

    6. Resource Flexibility

    Technology evolves rapidly, and investing in hardware can be risky if it becomes outdated too soon. Spheron mitigates this risk by allowing users to switch to new machines as soon as they become available. Whether you need high-powered GPUs for deep learning or cost-effective compute for routine tasks, Spheron provides a marketplace where you can select the best resources in real-time.

    7. Fizz Node: Powering Decentralized Compute at Scale

    Fizz Node is a core component of Spheron’s infrastructure, enabling efficient global distribution of compute power. Fizz Node enhances scalability, redundancy, and reliability by aggregating resources from multiple providers. This decentralized model eliminates the inefficiencies of traditional cloud services and ensures uninterrupted access to compute resources.

    Current Fizz Node Network Statistics:

    10.3K GPUs

    767.4K CPU cores

    35.2K Mac chips

    1.6 PB of RAM

    16.92 PB of storage

    175 unique regions

    These numbers reflect Spheron’s ability to handle high-performance workloads for AI, Web3, and general computing applications globally.

    8. Access to a Wide Range of AI Base Models

    Spheron offers a curated selection of AI Base models, allowing users to choose the best project fit. Available models include:

    All models use BF16 precision, ensuring efficiency and reliability for both small-scale experiments and large-scale computations. The platform presents model details in a clear, intuitive interface, making it easy to compare options and make informed decisions.

    9. User-Friendly Deployment Process

    Spheron prioritizes ease of use by eliminating technical barriers. The platform’s guided setup process includes:

    Define your deployment in YAML: Use a standardized format to specify resources clearly.

    Obtain test ETH: Secure test ETH via a faucet or bridge to the Spheron Chain for deployment costs.

    Explore provider options: Browse available GPUs and regions at provider.spheron.network or fizz.spheron.network.

    Launch your deployment: Click “Start Deployment” and monitor logs in real-time.

    These steps ensure a smooth experience, whether you’re a beginner setting up your first AI Agent or an experienced developer configuring advanced workloads.

    Want to test it out? Just go to the Spheron Awesome repo and https://github.com/spheronFdn/awesome-spheron, which has a collection of ready-to-deploy GPU templates for Spheron.

    10. The Aggregator Advantage

    Spheron operates as an aggregator, pooling resources from multiple providers. This approach enables users to:

    Compare GPU types, memory sizes, and performance tiers in real time.

    Choose from multiple competing providers, ensuring fair pricing.

    Benefit from dynamic pricing, where providers with idle resources lower their rates to attract users.

    This competitive marketplace model prevents price monopolization and provides cost-effective computing options that traditional cloud platforms lack.

    Conclusion

    As you can see, whether you choose on-premise infrastructure or rely on big cloud services, both options come with significant drawbacks. On-premise solutions require massive upfront investments, ongoing maintenance, and scalability challenges, while big cloud providers impose high costs, vendor lock-in, and unpredictable pricing models.

    That’s why Spheron Network is the ideal solution. By leveraging decentralized compute, Spheron provides a cost-effective, scalable, and censorship-resistant alternative. With transparent pricing, high availability, and seamless deployment, Spheron empowers developers, businesses, and AI projects to operate with greater autonomy and efficiency. Choose Spheron and take control of your infrastructure today.



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