Overview of Maximize Llm Inference Performance Auto Profile Optimize Pytorch Cuda Code
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Understanding the LLM Inference Workload - Mark Moyou, NVIDIA
High Performance LLM Inference in Pure Python with PyTorch Custom Ops - Yineng Zhang
Tour De Force: LLM Inference Optimization From Simple To Sophisticated - Christin Pohl, Microsoft
KV Cache: The Trick That Makes LLMs Faster
Five Ways To Increase Your Model Performance Using PyTorch Profiler
Deep Dive: Optimizing LLM inference
Parallel Track Transformers for Your PyTorch Model: Reducing GPU Synchronization in LLM Inference
How Much GPU Memory is Needed for LLM Inference
GPU Coding: PyTorch, torch.compile, CUDA, Triton | Build Your Own LLM Workshop #5 [Refreshed]
DistServe: disaggregating prefill and decoding for goodput-optimized LLM inference
Dynamic/Adaptive RL-based Inference CUDA Kernel Optimization +Accelerated PyTorch +Modular Mojo/MAX
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Last Updated: August 16, 2026
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