Red Hat AI 3.5 adds pre-deployment safety benchmarking, observability, and multi-tenant GPU isolation

Red Hat announced (Sept 9) Red Hat AI 3.5, adding verifiable pre-deployment safety benchmarking, real-time observability dashboards (including per-user token consumption), fine-grained RBAC role creation, and multi-tenant GPU controls (fair-share scheduling, priority-aware serving, hardware-to-software tenant isolation via OpenShift Virtualization).

A major enterprise AI infrastructure vendor is baking safety verification and tenant isolation directly into the platform layer, giving platform teams governance controls needed to move AI workloads from pilot to production with auditable trust guarantees.

Enterprises running Red Hat OpenShift AI / multi-tenant AI infrastructure should evaluate the new safety benchmarking and GPU isolation features when planning production AI rollouts.