Skip to main content

A high performance deep learning inference library

Project description

NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It is designed to work in a complementary fashion with training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses specifically on running an already-trained network quickly and efficiently on NVIDIA hardware.

IMPORTANT: This is a special release of TensorRT designed to work only with TensorRT-LLM. Please refrain from upgrading to this version if you are not using TensorRT-LLM.

To install, please execute the following:

pip install tensorrt --extra-index-url https://pypi.nvidia.com

Or add the index URL to the (space-separated) PIP_EXTRA_INDEX_URL environment variable:

export PIP_EXTRA_INDEX_URL='https://pypi.nvidia.com'
pip install tensorrt

When the extra index url does not contain https://pypi.nvidia.com, a nested pip install will run with the proper extra index url hard-coded.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tensorrt-cu12-10.2.0.tar.gz (18.3 kB view details)

Uploaded Source

File details

Details for the file tensorrt-cu12-10.2.0.tar.gz.

File metadata

  • Download URL: tensorrt-cu12-10.2.0.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for tensorrt-cu12-10.2.0.tar.gz
Algorithm Hash digest
SHA256 a5e387a399bd1ce727a6e0b9aa2698de4c4dadf40a91c2aa61154e9196eddc56
MD5 6a831f566348b29ef63099f8439a34a5
BLAKE2b-256 1054dc239b124238b2dae1548e66c457b9a31edb869ec6f514920b43bb5b2263

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page