Mistral AI has launched the Mistral 3 family of open source multilingual and multimodal models, designed to run efficiently across NVIDIA cloud, data center, and edge hardware. The flagship model, Mistral Large 3, uses a mixture of experts architecture that activates only relevant parts of the network for each token. This approach improves efficiency while supporting large scale workloads. The model includes 41B active parameters, a total of 675B parameters, and a 256K context window suited for enterprise requirements.
By combining NVIDIA GB200 NVL72 systems with Mistral’s architecture, organizations can train and deploy large AI models with improved performance and optimized parallelism. The model achieved a significant performance jump compared to NVIDIA’s previous generation hardware. Accuracy preserving features like NVFP4 and optimized inference frameworks help support efficient real time applications.
Mistral AI also introduced the Ministral 3 suite of compact models that run on NVIDIA edge platforms such as RTX PCs, Jetson devices, and NVIDIA Spark systems. These models are accessible through popular frameworks like Llama.cpp and Ollama. All models are open source, enabling developers and researchers to customize and build AI solutions using NVIDIA NeMo tools and optimized inference frameworks.
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