Io.net And Phala Network Partner To Improve Decentralized AI

As part of a new agreement, Phala Network will enhance its AI capabilities using io.net’s GPU cloud infrastructure, making advanced computation more accessible.

GPU cloud network io.net (IO) has partnered with Phala Network to improve secure computation and decentralized AI capabilities, according to a press release shared with crypto.news. 

The IO Cloud service provided by io.net allows users to access high-performance GPUs on demand, reducing costs compared to traditional cloud services by up to 90%. Machine learning engineers and developers can access the computational power needed to train and deploy AI models without investing in expensive hardware.

The collaboration will allow Phala Network to tap into io.net’s cloud network, IO Cloud, for powerful GPU hardware, expanding the reach of Phala’s decentralized AI ecosystem.

This partnership strengthens Phala’s ability to run complex AI applications securely by leveraging Nvidia H100 and H200 GPUs, known for their advanced cryptographic protections. In other words, this collaboration will make it easier and more cost-effective for developers to run complex AI tasks while ensuring data security.

Phala Network will use io.net’s GPU resources to support its Trusted Execution Environment CPU nodes. TEEs are isolated sections of a computer’s hardware designed to securely handle sensitive data.

According to the press release, Phala introduced the first benchmark for TEE-enabled GPUs in August. Through io.net’s network, Phala ensures that AI workloads are processed securely with Nvidia’s confidential computing features, such as encrypted memory and secure boot.

Phala Network is known for offering a decentralized platform where developers can execute complex tasks outside of traditional blockchain networks while maintaining privacy. Its infrastructure of over 40,000 TEE CPU nodes enables Web3 applications to handle computationally intensive tasks while safeguarding data privacy.

Io.net and Phala Network will conduct research and benchmarking, starting with Nvidia’s H100 and H200 GPUs. 

They plan to integrate Phala’s AI agents and hardware into the IO Network, enhancing both parties’ ability to support secure and decentralized AI operations, according to the release. This could lead to more accessible and efficient AI-driven Web3 applications.