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Home»Altcoins»Expanding AI, DePIN, and RLC Utility
Altcoins

Expanding AI, DePIN, and RLC Utility

NBTCBy NBTC03/03/2025No Comments5 Mins Read
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  • iExec’s position in the realm of confidential computing and decentralized physical infrastructure networks (DePIN) will be strengthened.
  • In the year 2025, iExec will increase the function of the RLC token, hence increasing its liquidity and usefulness throughout the whole sector.
  • New collaboration with centralized exchanges will increase trading access, while larger liquidity pools on decentralized exchanges will help to deepen liquidity.

The Web3 protocol iExec has revealed its roadmap for the year 2025, which includes core commitments to expand its decentralized ecosystem, improve its integration of artificial intelligence, and increase the usefulness of the RLC token. iExec’s position in the realm of confidential computing and decentralized physical infrastructure networks (DePIN) will be strengthened via the implementation of a multi-pronged approach that is outlined in the plan.

In the year 2025, iExec will increase the function of the RLC token, hence increasing its liquidity and usefulness throughout the whole sector. New collaboration with centralized exchanges will increase trading access, while larger liquidity pools on decentralized exchanges will help to deepen liquidity while delivering new holder incentives. Both of these developments will provide new opportunities for holders. Through the simplification of the manner in which developers utilize the token to pay for resources, the iExec Voucher mechanism, which will be introduced in closed beta in 2024, will grow, therefore locking additional RLC inside the ecosystem.

Gilles Fedak, CEO and co-founder of iExec, said:

“For 2025 and beyond we have a clear focus on expanding access to our technology and increasing RLC’s value within a growing ecosystem. This roadmap reflects our commitment to developers, users, and partners, and being at the forefront of emerging trends.

As the problem of trusted artificial intelligence has become a worldwide priority, iExec will concentrate on growing its framework for trusted AI. iExec will expand the availability of TDX workerpools in order to ensure the safety of AI computations by using Intel’s Trusted Domain Extensions (TDX) in conjunction with the SGX technology that is already in place. Through the AiExec initiative, the iApp Generator, a tool that simplifies the creation of Trusted AI applications, including AI agents, will be made available to the public. The infrastructure for sophisticated machine learning will be strengthened via strengthened relationships with Intel and Nvidia, building on a 2024 Gold Membership in Intel’s Partner Alliance. This partnership will align with the rising need for artificial intelligence that protects users’ privacy.

The ecosystem of iExec will continue to grow via the formation of strategic alliances and Collaborations in artificial intelligence, decentralized computing, and decentralized computing will drive adoption. These collaborations will span TEEs, GPUs, and storage. Additionally, there will be collaborations for models that will make more TEE machines available on the network. These models will allow external entities to manage their workerpools while adhering to iExec’s governance and Confidential Computing standards.

iExec will continue to commit resources to artificial intelligence projects and developer efforts, strengthening relationships with Nvidia, the Confidential Computing Consortium, and ADAN. This partnership will be renewed in 2025, after the $10 million startup competition that iExec collaborated with Start in Block to run in 2024. The purpose of these activities is to break open new use cases for RLC and to enable Web3 education and the incorporation of blockchain technology.

When it comes to technological breakthroughs in the year 2025, scalability and developer accessibility will be given priority. More TEE-enabled GPUs will be deployed by iExec to power confidential artificial intelligence applications. These GPUs will be complemented by new tools such as the iApp Generator, which is designed to create secure privacy-focused applications that make use of TEEs. Additionally, Web3Mail and Web3Telegram tools will be implemented to enable projects to send messages and communicate securely with users, while ensuring that their Telegram handle and email address are never disclosed.

The work on the iExec Sidechain (Bellecour) and Layer-2 research will concentrate on boosting throughput and strengthening Ethereum compatibility, which will result in the creation of new RLC use cases. Datapools will make it possible to do activities that include several datasets, hence reducing costs and optimizing network congestion. Performance will be further optimized by iExec’s upgrades to its consensus mechanism (PoCo) and middleware, which will provide strong support for applications of the next generation.

Visibility will be increased via the implementation of targeted advertising and community interaction as part of iExec’s marketing strategy. The 1.3 million-user Revolut campaign that took place in 2024 will be expanded upon via a relationship with CoinMarketCap, which will include live sessions, articles, and social marketing. Expanded rewards programs will provide RLC incentives via new platforms, and the company will also be present at global events like as ETHDenver, Consensus Hong Kong, Token 2049, ETHCC, and Devconnect, where it will participate in hackathons and receive sponsorships.

Through the enhancement of its usefulness and technical capabilities, as well as the implementation of additional deliverables on its 2025 roadmap, iExec intends to firmly establish itself as a foundational component of web3 infrastructure.

By providing developers with the ability to build decentralized apps that prioritize data ownership, privacy, and monetization, iExec empowers developers. iExec’s native RLC token makes it possible for Web3 users to exercise control over and generate revenue from their digital assets, which may include everything from personal data and computing power to artificial intelligence models.

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