GPU Memory Exhaustion Blocking Requests
Resource Contention
When GPU memory utilization approaches capacity, the server cannot allocate memory for new inference requests, causing failures, severe queuing, or out-of-memory errors. GPU memory exhaustion is a hard constraint — unlike CPU memory, there is no swap mechanism. This manifests as sudden request failures or dramatic performance degradation.
Nvidia Triton insight details requires a free account. Sign in with Google or GitHub to access the full knowledge base.
Sign in to access