TensorRT LLM

介紹

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

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TensorRT LLM =========================== TensorRT LLM optimizes inference for LLMs and Visual Gen models with specialized kernels for common operations, an efficient runtime, and a pythonic framework that enables you to customize and extend the system. • [09/02] Accelerating Video Generation with GEMM Quantization, Attention Quantization and Skip Softmax Attention in TensorRT-LLM ✨ ➡️ link • [08/20] Evaluating Agentic Serving with Trace Replay and Job-Level Metrics ✨ ➡️ link