Nsight Systems Profiling
Enables system-level performance analysis for GPU and CPU activities using NVIDIA Nsight Systems for optimized training scripts.
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Enables system-level performance analysis for GPU and CPU activities using NVIDIA Nsight Systems for optimized training scripts.
Helps identify and eliminate host-device synchronizations in PyTorch code, enhancing performance by enabling async GPU operations.
Optimizes PyTorch workloads using CUDA Graphs to enhance GPU performance and reduce overhead in training and inference processes.
Enhances TensorRT-LLM MoE code quality by ensuring architectural compliance, maintainability, and testability in PyTorch modules.
Automates the upgrade of the flashinfer-python package in TensorRT-LLM, ensuring the latest version is used efficiently.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by NVIDIA Corporation. Project details and file access are provided by the publisher.
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