The Ledger
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Mistral CTO focuses on enterprise deployment over gigawatt-scale compute capacity
“I deeply believe that with the capabilities that we have today in the models, there is so much to be unlocked in enterprise that I don't think my main focus today would be into going into the gigawatts of power.”
LeCroix: Mistral AI Has a Dedicated Robotics Division for Defense Partners
“It's something that we work on. Yes, we have a robotics division that works with these partners.”
LeCroix: Mistral 4 development is compute-constrained; deploying Grace Blackwell capacity
“Definitely compute and the current deployment that we have will help as it's going to be giving us a lot more Grace Blackwell capacity than we had in the past.”
LeCroix: Mistral AI was founded from day one to solve enterprise needs
“The premise on which we built Mitchell AI was immediately solving for enterprise needs.”
Lacroix: Mistral AI's new data center is located south of Paris
“The building of the facility has progressed quite well. It's in the south of Paris, and we are right now running through the stabilization stabilization of the first trench.”
Mistral AI automated the container release process for shipping company CMA CGM
“An example is something that we've built with the shipping company CMA CGM, where we've automated the container release process.”
Timothée LeCroix: Mistral AI's Devstral and Vibe CLI are going GA
“And so the big news is, yeah, the, that those systems are going GA. We've got an offer where chat users, so Lecha, our assistant will also get the ability to use Vibe and the associated models, and we're trying to basically make that usage as wide as possible.”
LeCroix: Mistral AI approaches video understanding via robotics research first
“For videos, it's a subject that we tackle through the lens of robotics first, and so we're doing our first explorations on that topic.”
LeCroix: Modular stack gives enterprise clients control over AI infrastructure
“All of this stack being modular is really important to us as it gives full control to enterprise and our clients as to which part of the stack they decide to own and control, which is maybe more involved or that they decide to have serverless or basically this…”
Lacroix: Mistral AI trains MoE and dense models to suit client hardware
“We are training large MOEs to get the best performance with the most efficiency during training. We're also continuing to train dense models at other scales, because depending on the environments in which our clients want to deploy, this might be the more cost…”