Red Hat, the world’s leading provider of open source solutions, and Meta today announced a new collaboration to spur the evolution of generative AI (gen AI) for the enterprise. This collaboration started with Red Hat’s day 0 enablement of the groundbreaking Llama 4 model family on Red Hat AI and the high- performing vLLM inference server. Building on this momentum, Red Hat and Meta will also
champion the alignment of the Llama Stack and the vLLM community projects, helping to drive
unified frameworks for the democratization and simplification of open gen AI workloads.
According to Gartner 1 , “by 2026, more than 80% of independent software vendors (ISVs) will
have embedded generative AI capabilities in their enterprise applications, up from less than 1%
today.” This underscores the urgent need for the open, interoperable foundations that Red Hat
and Meta are pioneering. The companies’ collaboration directly addresses the critical
requirement for more seamless gen AI workload functionality across diverse platforms, clouds
and AI accelerators, particularly at the crucial application programming interface (API) layer and
within the “doing” phase of AI — inference serving.
Red Hat and Meta’s deep commitment to open innovation is evident in their roles as primary
commercial contributors to foundational projects:
● Llama Stack, developed and open-sourced by Meta, delivers standardized building
blocks and APIs to revolutionize the entire gen AI application lifecycle; and
● vLLM, where Red Hat’s leading contributions are powering an open source platform that
enables highly efficient and optimized inference for large language models (LLMs),
including Day 0 support for Llama 4.
Creating common foundations and open choice for gen AI apps
As part of this collaboration, Red Hat is actively contributing to the Llama Stack project, helping
further enhance its capabilities as a compelling choice for developers building innovative,
agentic AI applications on Red Hat AI. With Red Hat AI, Red Hat maintains a commitment to
supporting a diverse range of agentic frameworks, including Llama Stack, fostering customer
choice in tooling and innovation. This enablement aims to provide a robust and adaptable
environment to accelerate the development and deployment of next-generation AI solutions, a
wave that embraces the evolving landscape of agentic technologies.
Trailblazing the future of AI inference with vLLM
The vLLM project, already pushing the boundaries of efficient and cost-effective open gen AI,
gains further momentum with Meta’s commitment to deepen community contributions. This
collaboration gives vLLM the capacity to provide Day 0 support for the latest generations of the
Llama model family, starting with Llama 4. vLLM is also part of the PyTorch Ecosystem where
Meta and others collaborate to foster an open and inclusive tools ecosystem. This validation
positions vLLM at the forefront of unlocking gen AI value in the enterprise.