What Happens When Your Managed ML Platform Is Not Available in a Regulated Region
Managed ML platforms are attractive for a good reason. They give data scientists and ML engineers a fast way to run notebooks, attach GPUs, manage environments, and move experiments from idea to execution without waiting for infrastructure teams to provision every detail manually.
At the beginning, that is exactly what a growing company needs. The team moves faster. Experiments are easier to launch. GPU access is hidden behind a clean interface. Nobody wants to rebuild what the cloud provider already sells.
Then the business enters a regulated region.
Suddenly, the question is no longer “which tool is convenient?” The question becomes: can our ML workflows run where the law, regulator, customer contract, or internal policy requires them to run?
Sometimes the answer is no. The managed ML platform that worked well in the original region simply is not available in the region where the company must process data. That is...
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