What does it take to bring open models into the enterprise? On the NVIDIA AI Podcast, Mistral CTO and co-founder Timothée Lacroix joins to discuss Mistral AI’s open-model philosophy, its Forge customization framework, and its collaboration with NVIDIA through the Nemotron Coalition.

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@MistralAI Absolutely agree. Open models shine brightest when you can fully customize them on your own data — and pair that with rock-solid infrastructure. This is the real path to enterprise adoption.

@MistralAI Open models need trust, customization and strong infrastructure to fit enterprise needs

@MistralAI Open AI wins when trust meets customization.

@MistralAI NVIDIA, all you want to do is remove the need for humans

@MistralAI Don’t know Hard to explain the joy I have to celebrate all winners alike ❤️⭐️ Hard to explain them not to pretend to win just in case I see or hear of it. “What does it take to bring a flaming bag of retarded shit to ring my bell boy?” Don’t know Thought you were smart one?

@MistralAI Enterprise adoption needs trust, security, and strong fine-tuning tools—open models only win when governance is solid.

@MistralAI forge is doing a lot of heavy lifting in that sentence

@MistralAI

@MistralAI Open weights answer the enterprise objection that matters, vendor exit risk. The model is the free sample, the customization layer is where the contract lives. Red Hat ran this play on Linux for two decades.

@MistralAI Great discussion

@MistralAI Mistral ouvre le code. Nvidia n'ouvre pas les prix. Les deux gagnent. C'est juste l'économie.

@MistralAI Okay LoL ZXai Lol money Money team

@MistralAI Open models are nice but in the end governance is what gets the budget signed off

@MistralAI the adoption gap isn't the model, it's ops. you can fine-tune mistral perfectly, but 99.9% uptime on inference at scale is where most teams hit a wall. whoever figures out the ops story first wins.

@MistralAI It’s not just openness, it’s scalability: deployment, compliance, and integration decide real enterprise value.

@MistralAI Bringing open models into business settings depends on reliable frameworks that balance openness with enterprise controls. Mistral's philosophy and its work with NVIDIA demonstrate a practical path forward for scalable deployment.

@MistralAI Come to our show:

@MistralAI Open models matter. Control matters more. Enterprise adoption usually follows governance, not capability

@MistralAI Customization + efficient infra is the key—open models become enterprise-ready when they adapt fast to real workflows.

@MistralAI Can’t wait to hear how many enterprise lawyers it takes to approve an "open" model.

@MistralAI .klickd is one of the missing layers! Mark my words 😎

@MistralAI $TAO could definitely help here. They have functioning subnets designed to solve these kinds of problems.