Red Hat AI 3.5 adds safety, observability and multi-tenancy controls for enterprise AI
Red Hat has announced Red Hat AI 3.5, adding new safety, observability, multi-tenancy and agent development capabilities as enterprises move AI workloads from pilots into production environments.
The latest release is aimed at IT and platform engineering teams that need to manage AI with the same operational controls applied to other mission-critical infrastructure. Red Hat AI 3.5 brings together capabilities for evaluating models before deployment, monitoring inference and GPU usage, managing shared infrastructure and developing governed AI agents across hybrid cloud environments.
A key addition is EvalHub, which enables organisations to benchmark models for safety before deployment and generate compliance-related evidence. Evaluated models in the AI Catalogue now include integrated Garak safety scores, alongside information on personally identifiable information (PII) exposure and toxicity risks.
Red Hat has also added more than 20 validated models to its catalogue, including models from Google, NVIDIA and Alibaba Cloud. A selection of validated models...
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