The collaboration aims to make it easier and more affordable for companies to build and use generative AI solutions.
Red Hat and Meta are working more closely on open-source technology for generative AI. The companies aim to help businesses develop, deploy, and manage AI applications more easily. Two projects are central to this effort: Llama Stack and vLLM.
Support for Llama 4
The collaboration began with the integration of Llama 4, Meta’s latest language model. Red Hat integrated this model into its AI platform via vLLM, an inference server that optimizes AI performance. Now, both parties are taking a step further. They want to better align Llama Stack and vLLM to provide an open and efficient foundation for companies looking to engage with generative AI.
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Llama Stack is an open-source project by Meta, providing standard building blocks for developing AI applications. Red Hat actively contributes to this, enabling developers to easily combine it with Red Hat AI. The platform is primarily designed to assist in building AI agents that operate across various cloud environments and AI infrastructures.
Making AI Affordable
Red Hat also plays a key role in the development of vLLM. This project is designed to make generative AI inference faster and more efficient. Companies can thus deploy powerful language models, like Llama 4, without expensive infrastructure. vLLM is part of the broader PyTorch ecosystem, an open-source AI project with contributions from multiple players, including Meta.
Through the collaboration, Red Hat and Meta aim to address the growing demand for generative AI in the business sector. According to research firm Gartner, by 2026, more than 80 percent of software vendors will integrate AI into their applications.
Gartner also predicts that forty percent of initiated AI projects will be discontinued within two years due to low returns. By focusing on open source, both companies hope to make AI more accessible and flexible for a wider range of organizations.