"The Paris-based AI upstart confirmed its first acquisition by agreeing to buy Koyeb, another French venture focused on serverless cloud infrastructure for AI workloads. The deal, terms were not disclosed, marks a clear signal: Mistral wants to own not just cutting-edge AI models, but also the infrastructure that delivers them to developers and enterprises. Mistral has built momentum over the past two years with large language models that have put it in close competition with U.S. players."
"Koyeb's technology is built for exactly that: a serverless platform that lets developers run AI apps without managing the underlying infrastructure. Think of it as giving Mistral not only the engine but also the transmission, the parts that take raw computational power and make it usable on demand. That's a critical piece when companies want to ship AI solutions without hiring a team of DevOps experts."
"This acquisition dovetails with a wider strategy playing out in Europe: build an AI stack that doesn't depend on U.S. hyperscalers. Mistral recently announced a €1.2 billion investment in data centers in Sweden and has been vocal about offering a homegrown alternative to cloud services from AWS, Microsoft, and Google. By folding Koyeb's team and platform into what they call Mistral Compute, the company is laying claim to a more complex AI offering - from model training to deployment and inference."
Mistral acquired Koyeb to integrate serverless cloud infrastructure with its AI models, signaling a move toward owning both model development and operational deployment. Koyeb provides a platform that lets developers run AI applications without managing underlying infrastructure, facilitating scaling and production use. The acquisition supports Mistral's wider strategy to build an independent European AI stack, reinforced by a €1.2 billion investment in Swedish data centers. By incorporating Koyeb into Mistral Compute, the company aims to offer capabilities from model training through deployment and inference, reducing reliance on U.S. hyperscalers and lowering DevOps barriers for enterprises.
Read at TNW | Deep-Tech
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