Verified70% confidenceFactExact time
Mistral Large 4 was trained using 3,800 NVIDIA Grace Blackwell GPUs in its own data centers, and the public preview also runs on the same infrastructure.
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
10/7/2026
First Seen
Valid until: 1/5/2027
Sources
Related Entities
Related Claims
UnverifiedMistral Large was trained in European data centers using 3,800 NVIDIA Grace Blackwell chips, with model weights and license to be published by the end of the month.80% similarUnverifiedGrace Blackwell is NVIDIA's new-generation GPU platform for large-scale AI training, with Grace responsible for the CPU side and Blackwell for the GPU side, forming a superchip through a high-bandwidth interconnect.73% similarUnverifiedMistral has launched the Large 4 model, whose core positioning is to power general-purpose agents.69% similarUnverifiedNVIDIA's GPUs are the foundational infrastructure for nearly all large model training today.69% similarUnverifiedArgonne National Laboratory will deploy Solstice, a system built in cooperation with Oracle, equipped with 100,000 Blackwell GPUs, mainly targeting emerging AI workloads and running at 16-bit, 8-bit, and even 4-bit precision.68% similar
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