OVHcloud would also need to spend on fine-tuning, post-training, sovereign infrastructure, storage, security, distribution, and enterprise support. It would also need enough scale to make model serving economically viable against established AI providers such as Google and Anthropic.
“Model is seen as a depreciating asset if it is not consistently trained and kept fresh with the data,” Shah said.
That makes OVHcloud’s plan a test not only of technical capability, but also of policy support and economic viability. If the company falls short, enterprises may be reluctant to shift workloads away from more established models.
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