Red Hat Is Betting on AgentOps to Close the Gap Between AI Experiments and Production
3 Articles
3 Articles
Red Hat is betting on AgentOps to close the gap between AI experiments and production
On Tuesday, Red Hat announced significant advancements to Red Hat AI (RHAI) 3.4 at its Red Hat Summit in Atlanta. Red Hat promises to deliver what the company describes as “metal-to-agent capabilities” designed to bridge the gap between AI experimentation and production-grade operational control across hybrid cloud infrastructure. What that means, according to Red Hat VP of AI Joe Fernandes, is that the company’s AI strategy is “divided into fou…
With Red Hat AI 3.4, the Linux specialist expands its AI platform and puts "Model-as-a-Service" (MaaS) at the centre of attention, offering developers a unified, controlled interface for access to curated models. MaaS provides platform engineers with an already widely available user interface, which provides independent management of token keys for role-based administration, usage capture and the
Red Hat's new version of the AI platform provides model-as-a-service, extensive agent management, and closer Nvidia connectivity.
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