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NVIDIA / TensorRT-LLM

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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15,025All-time #3,271
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Summarised by AI from the README; the original prevails

Author description: 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.

Basic listing based on official public information; functionality has not been independently evaluated.

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Includes values estimated from GitHub history
14,75714,89115,02511-06 · 15,02510-0810-1310-1810-2310-2811-0211-06
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 11:51 UTC15,025Source
2026-11-03 08:24 UTC14,995Source

First collected 2026-11-03Measured at 2026-11-06 11:51 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.