Nvidia unveiled a new partnership with large language model developer Mistral AI, with the companies set to accelerate the development and deployment of a new family of open source models.
Under the partnership, the companies said they will use Nvidia’s platform for deployment of mistral Recently the family, Mistral 3, was unveiled.
This new range is described by Mistral as open source, multilingual and multimodal, with the family optimized on Nvidia’s supercomputing and edge platforms.
Mistral 3 is built using a mixture of experts (MOE) architecture, which means that only the relevant part of the model is activated for a task. This model is said by the companies to enable more efficient and accurate deployment.
Nvidia said it is pairing its GB200 NVL72 systems with Mistral AI’s MOE architecture, which will help enterprises deploy and scale larger models more efficiently while benefiting from “advanced parallelism” and hardware optimization.
“With 41B active parameters, 675B total parameters, and a large 256K context window, Mistral Large 3 delivers scalability, efficiency, and adaptability for enterprise AI workloads,” Nvidia said in a statement. blog post,
The new model is available “everywhere from the cloud to the data center to the edge” starting December 2, the companies said.
The collaboration builds on existing work between the two companies, including the development of the Mistral Nemo 12b language model for chatbots and coding tasks.
Along with the announcement, Mistral also released nine small language models that it said could help developers run AI “anywhere”.
The models are designed to run on Nvidia’s hardware, including Spark, RTX PCs and laptops, as well as Jetson devices. Developers can access the models through the AI frameworks Llama.cpp and Ollama.
The Mistral 3 family is available to researchers and developers, with the company saying the move helps “democratize” access to frontier-class AI.
This news comes the same week nvidia announcement It has invested $2 billion in chip maker Synopsys, underscoring the company’s effort to strengthen its position in the AI and computing sector.
