Phala Network Joins NVIDIA Inception to Advance Confidential AI Computing – BitRss

Phala Network joins NVIDIA Inception to enhance its confidential AI computing capabilities.
Integration with NVIDIA GPU TEE technology allows Phala to offer privacy-preserving AI model training and inference.
This partnership accelerates Phala’s mission to create a decentralized, privacy-focused AI computing network.

Phala Network has announced its acceptance into NVIDIA Inception, a program designed to support startups innovating in AI and accelerated computing. This development underscores Phala’s commitment to confidential AI computing by leveraging NVIDIA Confidential Computing technology to provide verifiable large language model (LLM) training and inference.

Integrating Confidential AI with NVIDIA GPU TEE

Phala Network is recognized for its leadership in confidential computing within the Web3 space, pioneering decentralized cloud infrastructure that prioritizes privacy and security. By integrating NVIDIA GPU Trusted Execution Environment (TEE) technology, Phala enables privacy-preserving AI model training and inference. This integration ensures data confidentiality and verifiability while maintaining high performance.

The collaboration with NVIDIA GPU TEE enhances Phala’s decentralized confidential computing infrastructure, enabling secure and efficient AI computations.

How NVIDIA Inception Enhances Phala’s AI Innovations

Joining NVIDIA Inception provides Phala with access to NVIDIA’s advanced AI technologies, expert guidance, and opportunities for ecosystem collaboration. This partnership is set to accelerate Phala’s mission to establish a decentralized, privacy-focused AI computing network, benefiting applications in AI-powered decentralized finance (DeFi), confidential analytics, and more.

Marvin Tong, co-founder of Phala Network, stated, “Joining NVIDIA Inception is a significant step toward revolutionizing AI privacy and verifiability. With NVIDIA GPU TEE, we are enabling secure, decentralized AI computation that aligns with Web3’s principles of transparency and user control.”

For more information, the announcement can be found here.

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