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首页web3.0Aethir Welcoming New GPU Cloud Hosts to Scale Global Compute

Aethir Welcoming New GPU Cloud Hosts to Scale Global Compute

Sep 20, 2024 pm 09:12 PM
FilecoinGPU cloud computing crypto support

During the last two years, Aethir has been focused on BUILDING its ecosystem. Now, we enter a new and exciting EXPANSION phase— reaching new horizons with

Aethir Welcoming New GPU Cloud Hosts to Scale Global Compute

Aethir, a well-known GPU-as-a-services provider, has announced the integration of support for the Filecoin crypto network during the FIL event in Singapore.

In an orderly keynote, Aethir co-founder Mark Rydon highlighted how the collaboration with Filecoin helps meet the growing demand for computational resources for individuals and businesses.

More and more entities indeed require the presence of decentralized support infrastructures, particularly in the AI, web3, and machine learning sectors.

In such a context, it is necessary for providers of computational power to improve their scalability and become more reliable over time.

More specifically, the integration of the historic crypto network perfects the GPU leasing functions improving data processing and storage.

Filecoin, which is a blockchain known for its advanced capabilities of “information storage” plays a crucial role in these processes, ensuring high performance.

Its presence within the Aethir ecosystem allows for the removal of some entry barriers in the cloud computing world, supporting existing storage providers.

The cryptographic network is thus added to those already present of Ethereum and Arbitrum, which make up the scalable on-chain space of Aethir.

The recently announced initiative also includes an integration with Lighthouse, a crypto storage platform based on Filecoin.

In practice Aethir plans to upload data based on artificial intelligence and decentralized nodes within the Filecoin network, via Lighthouse. In this way, by archiving some critical data sets on Filecoin, it is possible to ensure transparency, accountability, and solid audit trails for the governance of the artificial intelligence model.

The commitment with the Filecoin crypto network underscores the need for Aethir for a resilient and scalable infrastructure capable of meeting the demanding requirements of companies in the GPU field.

In a long-term perspective, the progetto di cloud computing aims to improve its data management capabilities with minimized costs.

The growing demand for computational power in the IT sector will indeed push GPU providers to offer services that are increasingly affordable and accessible to the masses.

Not only that, the competition with traditional cloud networks, could require an additional effort in an attempt to gain market share.

The final vision of Aethir is to promote a completely decentralized ecosystem capable of embracing the revolutionary fusion of AI technologies and DePin.

This work strengthens a future driven by artificial intelligence by providing cutting-edge processing and storage solutions.

Filecoin e Aethir are cultivating a community-driven ecosystem where developers, content creators, and users benefit from shared resources.

Both offer a crucial contribution to the realization of this open source crypto hub accessible by everyone.

The first represents the backbone of storage for decentralized archiving, while the second provides the computing power necessary for data processing.

Together, they create a decentralized full-stack solution, which will be vital for the development of the next transparent AI systems not controlled by a single entity.

Speaking about the partnership with Filecoin, the CSO and co-founder of Aethir Mark Rydon expressed his utmost enthusiasm in a recent note published:

“As the demand for decentralized infrastructure grows, Aethir’s collaboration with Filecoin Foundation represents a significant step towards creating a more robust and efficient DePIN ecosystem. Our GPU leasing model provides Filecoin storage providers with scalable processing solutions, directly addressing the ongoing GPU scarcity challenges faced by the artificial intelligence, machine learning, and Web3 sectors.”

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