The major risk is that costs scale linearly with concurrent executions. A model serving 100 requests per second continuously can generate monthly bills ten times higher than running a dedicated inference endpoint. Serverless functions can lead to unpredictable, runaway cloud bills that are difficult to forecast, especially when teams don't model costs at production-scale traffic.
The major risk is that costs scale linearly with concurrent executions. A model serving 100 requests per second continuously can generate monthly bills ten times higher than running a dedicated inference endpoint. Serverless functions can lead to unpredictable, runaway cloud bills that are difficult to forecast, especially when teams don't model costs at production-scale traffic.
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The major risk is that costs scale linearly with concurrent executions. A model serving 100 requests per second continuously can generate monthly bills ten times higher than running a dedicated inference endpoint. Serverless functions can lead to unpredictable, runaway cloud bills that are difficult to forecast, especially when teams don't model costs at production-scale traffic.
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