Organizations can match the right model to their trust boundaries and operating requirements.
NVIDIA Confidential Computing is also expanding across NVIDIA Grace Blackwell and Rubin systems and will integrate with NVIDIA DSX OS as a reference architecture for cloud providers building AI factories.
Cohere plans to integrate Confidential Bare Metal into Cohere Model Vault, using NVIDIA Confidential Computing trusted execution environments to extend hardware-rooted security directly to the GPU — protecting models and data in memory and across interconnects during execution.
“Enterprises trust Cohere to provide a secure and confidential platform for inference,” said Phil Blunsom, chief technology officer at Cohere. “With NVIDIA Confidential Computing in Cohere Model Vault, we’re extending hardware-rooted security directly to the GPU, protecting customer data in memory and across interconnects during execution.”
Google Cloud is extending support for Confidential Bare Metal to A4X Max instances powered by NVIDIA GB300 NVL72 systems. These will combine non-virtualized NVIDIA accelerated computing with cryptographic protection for training data and model intellectual property.
NVIDIA Confidential Computing uses hardware-rooted isolation and cryptographic attestation to help protect models and data during execution.
Support now extends to NVIDIA Grace Blackwell NVL72 — bringing Confidential Computing to NVL72 rack-scale systems — as well as x86-based NVIDIA HGX Rubin NVL8 and NVIDIA DGX Rubin NVL8 systems.
CoreWeave , Firmus , GMI Cloud , Google Cloud , IREN , Lambda , Microsoft Azure Infrastructure, Nebius , Nscale and Vultr support NVIDIA Confidential Computing deployments. Global systems partners including Cisco , Dell Technologies , HPE , Lenovo, Supermicro and Bull will support these capabilities with NVIDIA-Certified Systems .
NVIDIA DSX OS will support all NVIDIA Confidential Computing modes, giving cloud providers a software foundation for building and operating AI factories that support confidential workloads.
Learn more about NVIDIA Confidential Computing .
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/confidential-computing-model-builders-infrastructure/#primary
- https://blogs.nvidia.com/blog/author/johnfanelli/
- https://blogs.nvidia.com/blog/confidential-computing-model-builders-infrastructure/#disqus_thread
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Informational only. No financial advice. Do your own research.