Unverified50% confidenceTradeoffExact time
The cost of CUDA graphs is that the recording phase itself requires running the entire graph through once or even multiple times, and it has limited support for dynamic shapes and dynamic control flow.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedBecause the prefill phase must handle variable-length inputs, it often needs to capture CUDA graphs separately for multiple sequence lengths, further amplifying the recording time.73% similarUnverifiedvLLM's FULL graphs mode records the entire forward computation as a CUDA Graph as much as possible.73% similarUnverifiedInference framework runtime overhead (CUDA context initialization, operator fusion caching, memory fragmentation, etc.) typically consumes an additional 0.5–2 GB69% similarUnverifiedOverlapped checkpoint staged loading allows checkpoint pages to be loaded in parallel from storage in stages during CUDA graph capture.67% similarUnverifiedThe project added leases, generational tokens, and tail ring buffers, and covered one full 8-way CUDA Graph archive; experiments show that after requests end, KV capacity and cache slots both return to their initial values.66% similar
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