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-cu12-10.0.1.tar.gz (18.3 kB view details)

Uploaded Source

File details

Details for the file tensorrt-cu12-10.0.1.tar.gz.

File metadata

  • Download URL: tensorrt-cu12-10.0.1.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-cu12-10.0.1.tar.gz
Algorithm Hash digest
SHA256 ebb89f6f9b6d187265f3bc829e38cff6e27059508e9a160e229506e5d9b648a0
MD5 6cfb76191e28f6b994541a2a98cdb577
BLAKE2b-256 e9a0d7d121851f02f0f2f9c8c4be01ed1b872ef94e9f6b5736f427804e8375b0

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