- Phala Network and IO.net formed a partnership in September 2024, combining Phala’s decentralized blockchain protocol with io.net’s extensive GPU network.
- The collaboration gives Phala access to over 300,000 decentralized GPUs across 130 countries, enabling more advanced GPU-driven computing at lower costs than centralized providers.
- Both networks benefit from increased scalability, with Phala’s privacy-preserving TEE technology complementing io.net’s GPU infrastructure for secure AI and ML development.
Phala Network has expanded its decentralized computing capabilities through a partnership with io.net first announced in September 2024. This collaboration allows Phala, which operates as a decentralized blockchain co-processor for other applications, to access io.net’s network of over 300,000 GPUs and CPUs distributed across 130 countries. The partnership specifically enables Phala to utilize advanced hardware including NVIDIA H100 and H200 GPU models.
Combining Complementary Technologies
Phala Network, which launched in 2021, has developed a system that leverages Trusted Execution Environments (TEEs) integrated with blockchain technology. Their platform uses what they call “Phat Contracts” to perform trustless off-chain computations, allowing developers to move intensive computational tasks from the blockchain to decentralized TEE nodes. Since its launch, Phala has grown to include over 30,000 TEE nodes.
The partnership with io.net significantly expands Phala’s capabilities by adding access to GPU-driven processing power. This allows Phala to handle more advanced computational tasks, particularly benefiting AI and machine learning applications. For io.net, the collaboration adds a partner with strong privacy-preserving technology through Phala’s TEE implementation, enhancing security for AI developers using the combined platform.
Cost Efficiency and Future Plans
One significant advantage of this partnership is cost reduction. By utilizing io.net’s decentralized cloud infrastructure, Phala Network can offer GPU processing capabilities at lower prices compared to centralized cloud providers. This makes advanced computational resources more accessible to developers building on Phala’s platform, removing potential cost barriers for those seeking decentralized computing solutions.
Both organizations plan to continue expanding their collaboration, with future initiatives focused on joint research, testing, and benchmarking of Nvidia’s latest GPU models. According to information from Phala Network, the partnership aims to position themselves at the forefront of scaling decentralized applications through co-processing, offering an alternative to traditional centralized cloud services that improves efficiency, security, and scalability for decentralized AI applications.
The combined network effect of both platforms creates a substantial decentralized computing infrastructure that continues to grow, potentially challenging more centralized cloud computing providers while maintaining the security and privacy benefits of decentralized systems.
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