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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 5, 23:30 UTC

[Doc] Fix outdated reference to CUDAGraphManager (#38209)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

Cyrus Leung committed Mar 26, 2026 at 16:52 UTC a9213c0ffea4c6485dd1d03de5e8b3ff96dda924
1 file changed +3 -3
docs/design/cuda_graphs_multimodal.md
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@@ -13,11 +13,11 @@ Encoder CUDA Graphs eliminate this overhead by pre-capturing the full encoder fo
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14 ## Design
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16 -The encoder CUDA Graph system uses a **budget-based capture/replay** strategy, managed by [EncoderCudaGraphManager][vllm.v1.worker.gpu.mm.encoder_cudagraph.EncoderCudaGraphManager]. The system contains the following core components:
16 +The encoder CUDA Graph system uses a **budget-based capture/replay** strategy, managed by [EncoderCudaGraphManager][vllm.v1.worker.encoder_cudagraph.EncoderCudaGraphManager]. The system contains the following core components:
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18 -* [EncoderCudaGraphManager][vllm.v1.worker.gpu.mm.encoder_cudagraph.EncoderCudaGraphManager]: orchestrates capture, replay, greedy packing, and data-parallel execution for encoder CUDA Graphs.
18 +* [EncoderCudaGraphManager][vllm.v1.worker.encoder_cudagraph.EncoderCudaGraphManager]: orchestrates capture, replay, greedy packing, and data-parallel execution for encoder CUDA Graphs.
19 * [SupportsEncoderCudaGraph][vllm.model_executor.models.interfaces.SupportsEncoderCudaGraph]: a runtime-checkable protocol that models implement to opt-in to encoder CUDA Graphs.
20 -* [BudgetGraphMetadata][vllm.v1.worker.gpu.mm.encoder_cudagraph.BudgetGraphMetadata]: holds the captured CUDA Graph and its associated I/O buffers for a single token budget level.
20 +* [BudgetGraphMetadata][vllm.v1.worker.encoder_cudagraph.BudgetGraphMetadata]: holds the captured CUDA Graph and its associated I/O buffers for a single token budget level.
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22 ### Budget-based graph capture
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