Skip to main content

A high performance deep learning inference library

Project description

NVIDIA TensorRT RTX is an SDK for high-performance AI inference on NVIDIA RTX GPUs. It includes a Just-in-Time compiler for fast on-device inference optimizations that enable portable deployments and runtime performance specialization. It also introduces convenience features such as built-in CUDA graph support, runtime cache, and a simplified development workflow.

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_rtx_cu12-1.6.1.120.tar.gz (18.1 kB view details)

Uploaded Source

File details

Details for the file tensorrt_rtx_cu12-1.6.1.120.tar.gz.

File metadata

  • Download URL: tensorrt_rtx_cu12-1.6.1.120.tar.gz
  • Upload date:
  • Size: 18.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for tensorrt_rtx_cu12-1.6.1.120.tar.gz
Algorithm Hash digest
SHA256 d55b1fbb949d20a57ccfe79be2d9d1daa7abc378470ec706731d9358132bc2f3
MD5 ea17f630c4877573e438eb61fc56b838
BLAKE2b-256 25c51c581be1b3fe14fcf729642acd32ea906e05ea15fd07b64091ad61cc8890

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