Unverified50% confidenceCautionExact time
Serverless inference has a cold start problem, where the first request requires loading the model onto the GPU, which may take 10 to 60 seconds
1
Sources
50%
Confidence
Long-term
Relevance
9/9/2026
First Seen
Sources
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Related Claims
UnverifiedServerless architectures suffer from cold-start problems: after a function instance is reclaimed, a subsequent invocation requires re-initializing the runtime environment, potentially introducing latency of hundreds of milliseconds to several seconds.73% similarUnverifiedThe reasoning process for a single complex code generation request may last 10–30 seconds, during which it continuously occupies high-end GPUs.66% similarUnverifiedFor ML inference scenarios, the total cold start time for loading libraries such as scikit-learn and pandas plus downloading model files from a remote location can easily exceed 30 seconds.64% similarUnverifiedOpenHuman's startup time is under 1 second and its memory footprint is extremely low.60% similarUnverifiedUsing the Codex desktop version to pull the NotionNext project and configure it to run took only 1 minute and 53 seconds in total.59% similar
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