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_cu12-10.15.1.29.tar.gz (19.1 kB view details)

Uploaded Source

File details

Details for the file tensorrt_cu12-10.15.1.29.tar.gz.

File metadata

  • Download URL: tensorrt_cu12-10.15.1.29.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for tensorrt_cu12-10.15.1.29.tar.gz
Algorithm Hash digest
SHA256 d28acc4d14804cac0b50c0c1fc58c0d25cb974aa4c53cda5cfd8c4a4154c45fe
MD5 7aece66029861218e9237257191cf92e
BLAKE2b-256 57a7c8d81de98428c7dd67b5b9df0e1ea21c497661b4703f946e8d84b39ad76e

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