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Applied AI·October 6, 2026·1 min read

Sovereign AI, same landlord — thoughts on the physical AI race

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The “sovereign AI” push still largely runs on the same landlord—NVIDIA—so national strategies are diverging in rhetoric more than in supply chain. If you’re building physical AI stacks, the real hedge isn’t just geography, it’s architectural optionality across accelerators and interconnects.

Applied AI

Mistral says ML4 was trained using 3,800 Nvidia Grace Blackwell GPUs in its own data centers in Europe and much of its training data was multilingual

Running 3,800 Grace Blackwell GPUs in owned European data centers with multilingual training data is a clear play for regional sovereignty — on both infra and language coverage. If you operate in or sell into Europe, this strengthens the case for a “local-first” model strategy on latency, data residency, and cultural fit.