tensorrt-cu13

library11.1.0.106pypypiunverified

NVIDIA TensorRT is a high-performance deep learning inference library. The cu13 variant targets CUDA 13.x. Current version 10.16.1.11, release cadence approximately monthly.

ai-ml

pip install tensorrt-cu13

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · TENSORRT-CU13

tensorrt-cu13

ai-mlpythonv11.1.0.106

Install

52.5s avg

Import

582ms

Disk

4403MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v11.1.0.106 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

build_error

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 52.5s · import 0.582s · 4403.2MB

4403MB installed

● package 4403MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

tensorrt

✓ import tensorrt

✗ import tensorrt as trt

Using 'as trt' is a common convention, but not required.

Builder

✓ import tensorrt; tensorrt.Builder

Minimal TensorRT setup showing logger, builder, and network creation.

import tensorrt as trt import os def get_engine(): logger = trt.Logger(trt.Logger.WARNING) builder = trt.Builder(logger) network = builder.create_network(1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)) print(f"TensorRT version: {trt.__version__}") if __name__ == '__main__': get_engine()

trtexec --version

Debug

Known issues

breakingFrom TensorRT 10.13, CUDA 11.x support dropped. This cu13 variant requires CUDA 13.x; mixing with older CUDA will fail at import or runtime.

fix

Ensure your environment has CUDA 13.2+ (for TRT 10.16) or matching CUDA version for the TensorRT release.

affects: >=10.13.0

breakingIn TensorRT 10.14, pycuda was removed in favor of cuda-python. Code using pycuda will break.

fix

Replace pycuda imports with cuda-python equivalents, e.g., 'import pycuda.driver as cuda' -> 'import cuda'.

affects: >=10.14.0

deprecatedPlugin version 1 of several plugins (e.g., cropAndResizeDynamic, modulatedDeformConv) deprecated starting 10.12, will be removed in future versions.

fix

Migrate to IPluginV3-based version 2 plugins.

affects: >=10.12.0

gotchaThe package 'tensorrt-cu13' is CUDA-specific. Installing on a system without compatible CUDA runtime may cause import errors like 'Could not find cudart64_13.dll'.

fix

Install the correct TensorRT variant matching your CUDA version (e.g., tensorrt-cu12, tensorrt-cu11).

affects: all

Upgrade

Version history

11.1.0.106latest on PyPI · released Jun 16, 2026

Audit

Dependencies

cuda-pythonoptionalOptional dependency for runtime API; if not installed, some functionality may be unavailable.

Agent activity

15 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/nvidia/tensorrt ↗

packagehttps://pypi.org/project/tensorrt-cu13/ ↗

homepagehttps://developer.nvidia.com/tensorrt ↗