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Cohere announced a public beta of Confidential Computing for its managed inference product Model Vault, running on NVIDIA H100 GPUs and Microsoft Azure confidential computing infrastructure. The feature adds hardware-backed isolation, GPU memory encryption, remote attestation, and an end-to-end encrypted request path so customers can verify the runtime and protect data in use during inference.
Meta says it is extending its Private Processing design to wearable AI glasses, running AI models and persistent user context inside confidential virtual machines (CVMs) backed by hardware TEEs in Meta’s cloud. The architecture uses remote attestation, anonymous credentials, OHTTP relays, encrypted storage and a public transparency ledger; Meta says the platform is not yet deployed to glasses and that it is engaging independent security firms and researchers (including NCC Group) to review and audit the system.
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