We had the opportunity to talk to Oscar Rodriguez, Director of ProServe Expert Services at AWS, about what makes the partnership between Amazon Web Services (AWS) and Mistral AI special. In addition to the partnership, he and Savannah Peterson also discuss the qualities of companies who are pushing the boundaries of innovation and where the industry is going next. Watch the full video: https://lnkd.in/emUmcPsj

The Mistral + AWS partnership makes a lot of sense from an enterprise deployment perspective. What stood out to me: running Mistral models natively on AWS infrastructure means teams can keep data in their existing VPC — no external API calls, full control over latency and compliance. For AI engineers building production RAG systems or agent pipelines, this is huge. You can fine-tune on SageMaker, serve on Bedrock, and keep your entire stack under one cloud governance layer. The open-weight + cloud-native combo is exactly the model I see winning in regulated industries. Excited to see what joint solutions come out of this. 🔥

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Bon bah... Si vos serveurs sont américains, le bénéfice que Le Chat soit français est instantanément effacé. Louer des serveurs français ou mieux investir pour créer vos propres serveurs Mistral IA, ne serait-il pas la chose à faire ?

Jan Bartoš

Údržbář, strojař, klempíř. @ŠKODA AUTO Kvasiny | Autor newsletteru AI a data okem strojaře | Průmyslová AI • Prediktivní údržba • OT kyberbezpečnost.

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From my experience, the biggest challenge is exactly what Mr. Rodriguez mentionsmoving AI from prototype to real production. Combining strong infrastructure with flexible models makes perfect sense. In practice, everything depends on absolute security of data directly from operations. What are your experiences with deploying these models in environments with strict security standards?"

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