en.Wedoany.com Reported - Red Hat has launched the Red Hat AI 3.4 platform, designed to help organizations bridge the gap between AI experimentation and production-grade operations, enabling scalable AI deployment. The platform provides a unified framework from hardware to agents, offering a consistent operational environment for builders and operators, supporting the large-scale deployment of autonomous systems.

One of the core features of Red Hat AI 3.4 is Model as a Service (MaaS), which provides developers with a governed, single interface to access curated models while allowing administrators to track usage and enforce policies. This capability is built on high-performance distributed inference powered by vLLM and llm-d. The platform's new AgentOps tool integrates tracing, observability, cryptographic identity, and lifecycle management capabilities, enabling the management of agents from development to production, regardless of their framework.

To address the integration of enterprise data with models and agents, Red Hat AI 3.4 introduces prompt management, treating prompts as data assets, and provides an evaluation center for assessing the accuracy, quality, and safety of models and agents. These features are powered by MLflow for integrated experiment tracking and artifact management. The platform also incorporates technologies from Chatterbox Labs and the Garak project, supporting automated security testing and red teaming to validate the safety of models and agents.

Joe Fernandes, Vice President and General Manager of the AI Business Unit at Red Hat, stated that the era of agents represents the evolution of platforms from running traditional applications to driving autonomous systems. He believes that by providing a hardened foundation for AI inference, MaaS, and AgentOps, organizations can innovate while maintaining the operational control they need. John Fanelli, Vice President of Enterprise Software at NVIDIA, noted that autonomous, long-running agents in enterprises require new levels of infrastructure control and security, and that Red Hat AI Factory with NVIDIA provides developers and operators with the governance foundation needed for the agent era.

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