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.

If the dependencies of this package cannot be correctly installed from PyPI for any reason, you can try using the NVIDIA package index instead:

export NVIDIA_TENSORRT_DISABLE_INTERNAL_PIP=0
pip install tensorrt

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_cu13-10.14.1.48.tar.gz (18.3 kB view details)

Uploaded Source

File details

Details for the file tensorrt_cu13-10.14.1.48.tar.gz.

File metadata

  • Download URL: tensorrt_cu13-10.14.1.48.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.19

File hashes

Hashes for tensorrt_cu13-10.14.1.48.tar.gz
Algorithm Hash digest
SHA256 479cb524949d73326b5df5a0d4ac5b49be894bcf28096e4ee31a95eb3e68f19d
MD5 28a01dc2478ec732fd736c4a89be7071
BLAKE2b-256 d3e8e8d68abae8161db2019c7d579f89238444e7c9b35264d8cb58ddfcdee6c8

See more details on using hashes here.

Supported by

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