Nvidia and Mistral AI have teamed up to fast-track open source LLM development, optimising the new Mistral 3 models across cloud and edge using Nvidia’s full inference stack.
Nvidia and Mistral AI have formalised a strategic partnership aimed at accelerating the development and optimisation of open-source language models. The collaboration signals a major push to elevate open source AI by integrating Mistral’s next-generation models deeply into Nvidia’s hardware and software ecosystem.
The partnership builds on earlier joint work, most notably the Mistral NeMo 12B model designed for chatbot and coding applications. The new phase of collaboration centres on deploying and optimising the open source Mistral 3 model family, which introduces multimodal and multilingual capabilities. These models are engineered for flexible deployment, spanning cloud servers to edge devices, including RTX-powered PCs and Nvidia Jetson platforms.
As part of the agreement, Nvidia will integrate Mistral models into its AI inference toolkit to deliver significant performance improvements. This optimisation effort will be powered by TensorRT-LLM, SGLang, and vLLM, alongside the NeMo framework that supports enterprise-grade customisation. By committing its full inference stack to Mistral’s open source ecosystem, Nvidia positions these models to compete directly with proprietary alternatives on speed, efficiency, and scalability.
The broader goal is to accelerate the growth and adoption of open source LLMs across Nvidia’s wider ecosystem.
