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Separating Environments for an ML Platform on Snowflake

Community description: Sharing ML Models Across Accounts Is Now Possible Snowflake's Direct Share now supports ML...

Dev.to | Sep 23, 2026 | Mikoto Takigawa

Automated excerpt

Model accuracy is irrelevant here, so the model itself is thrown together. Pros: the model you validated is the model you operate. Pros: because training happens in production, the validated model and the model running in production are the same object.

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