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Rafay and Fortanix enable confidential AI services on Kubernetes pods

The Rafay Platform now orchestrates AI workloads in hardware‑isolated containers, letting clouds and enterprises run sensitive models without exposing data.

NoteBy Published by Oossa: 1 min read

Rafay Systems and Fortanix announced a joint solution that lets neoclouds, sovereign AI clouds and enterprises offer AI workloads inside hardware‑based Trusted Execution Environments. The Rafay Platform orchestrates workloads on CNCF Confidential Containers (CoCo) and uses Fortanix Confidential AI to attest the environment and release encryption keys only after verification. End users can launch these workloads from the Rafay Developer Hub with a single click, without needing a support ticket.

Why it matters

Regulated firms can run AI on third‑party GPU clouds while keeping data and model weights encrypted during processing.

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