Red Hat is advancing its enterprise AI offerings, aiming for accelerated implementations through validated third-party AI models and improved integration of the Llama Stack and Model Context Protocol. At the Red Hat Summit in Boston, components like the Red Hat AI Third Party Validated Models accessible via Hugging Face are emphasized, allowing companies to confidently deploy generative AI in hybrid clouds. The introduction of standardized APIs, along with model optimization for reduced size and faster use, further enhances enterprise capabilities in AI deployment while minimizing operational costs and resource usage.
One of the most important additions is the Red Hat AI Third Party Validated Models, which will be available through Hugging Face.
The Llama Stack provides a unified API for inference with vLLM, retrieval-augmented generation (RAG), model evaluation, guardrails, and agents.
Thanks to the ongoing validation process, customers also stay up to date with the latest optimizations in generative AI innovation.
Standardized APIs for AI applications offer developers more flexibility in building and deploying generative AI applications and agents.
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