The serverless implementation option through Cloud Run with GPU support merits attention for teams requiring inference capacity that reduces to zero. Compensating solely for actual processing during inference—rather than sustaining continuously active GPU instances—could substantially alter the economics of implementing open models in production, especially for internal utilities and lower-usage applications.
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