For more information, see the 11.4 release notes:

• Parsers
  • Added IRefitterObserver class and IParser::setRefitObserver to better handle refittable weights when parsing.
• Plugins
  • Added various C++20 updates to plugin source code.
• Samples
  • Moved samples/common files only relevant to trtexec to samples/trtexecCommon.

For more information, see the 11.3 release notes:

General

• Updated default CUDA version to 13.4

Demos

• Removed demoDiffusion.

Parsers

• Refactored how external weights are handled in IParserRefitter

Samples

• Removed the detectron2 python sample

Tools

• Bumped Polygraphy version to v0.53.6

For more information, see the TensorRT 11.2 Release Notes.

Samples

• Added a new python sample sample_plugin_v2_to_v3_migration to showcase how to migrate from IPluginV2 to IPluginV3.

Plugins

• Added a new FFTPlugin, a cuFFT-backed plugin for complex-to-complex, real-to-complex, and complex-to-real transforms, to support the ONNX DFT operator.

Parsers

• Added IRefitterObserver class for better refitting of ONNX models.
• Added support for the DFT operator and 5D GridSample operators.

For more information, see the TensorRT 11.1 Release Notes

General

• Default CUDA version updated to 13.3.
• Added Ubuntu 26.04 container.
• Added support for Python 3.14.
• Added agent skills for various TensorRT workflows.

Samples

• Added new sample cute_dsl_plugin.
• Added a global performance tuner option in trtexec.

Plugins

• Added new plugin topkLastDimPlugin.

Parsers

• Updated TRT_Attention to support raggedness.

For more information, see the TensorRT 11.0 Release Notes

General

• As a new major version bump, TensorRT 11.0 brings many enhancements for its users. For full information, see the release notes.

Demos

• The BERT demo has been removed.

Samples

• Migrated samples/python/python_plugin and samples/python/onnx_custom_plugin/plugin to use V3 plugins

Plugins

• Added a new Faster Air Top-K plugin
• Removed deprecated plugins: batchTile, clip, coordConvAC, cropAndResize, gelu, leakyRelu, normalize, singleStepLSTM, specialSlice, split, nms, and proposal

Parsers

• Added support for Swish operator
• Added support for custom operators TRT_Attention, TRT_MoE, and TRT_KVCacheUpdate

For more information, see the TensorRT 10.16 Release Notes

General

• Default CUDA version updated to CUDA 13.2.

Samples

• Added sampleDistCollective sample to showcase multi-device execution in TensorRT.

Parsers

• Added kADJUST_FOR_DLA flag to adjust parsing behavior for ONNX models to be more amenable for DLA hardware execution.
• Added DistCollective operator support for multi-device execution in TensorRT.

For more information, see the TensorRT 10.15 Release Notes:

Sample changes

• Added 2 safety samples sampleSafeMNIST, and sampleSafePluginV3 to demonstrate how to use TensorRT with the safety workflow.
• Added trtSafeExec to accompany the safety workflow release.
• Added python/stream_writer to showcase how to serialize a TensorRT engine directly to a custom stream using the IStreamWriter interface, rather than writing to a file or a contiguous memory buffer.
• Added python/strongly_type_autocast to demonstrate how to convert FP32 ONNX models to mixed precision (FP32-FP16) using ModelOpt's AutoCast tool and subsequently building the engine with TensorRT's Strong Typing mode.
• Added sampleCudla to demonstrate how to use the cuDLA API to run TensorRT engines on the Deep Learning Accelerator (DLA) hardware, which is available on NVIDIA Jetson and DRIVE platforms.
• Deprecated sampleCharRNN.

Plugin changes

• Deprecated bertQKVToContextPlugin and will be removed in a future release. No alternatives are planned to be provided.

Parser changes

• Added support for RotaryEmbedding, RMSNormalization and TensorScatter for improved LLM model support
• Added more specialized quantization ops for models quantized through TensorRT ModelOptimizer.
• Added kREPORT_CAPABILITY_DLA flag to enable per-node validation when building DLA engines through TensorRT.
• Added kENABLE_PLUGIN_OVERRIDE flag to enable TensorRT plugin override for nodes that share names with user plugins.
• Improved error reporting for models with multiple subgraphs, such as Loop or Scan nodes.

Demo changes

• demoDiffusion: Stable Diffusion 1.5, 2.0 and 2.1 pipelines have been deprecated and removed.

10.14 GA - 2025-11-7

• Sample changes

  • Replace all pycuda usages with cuda-python APIs
  • Removed the efficientnet samples
  • Deprecated tensorflow_object_detection and efficientdet samples
  • Samples will no longer be released with the packages. The TensorRT GitHub repository will be the single source.

• Parsers:

  • Added support for the Attention operator
  • Improved refit for ConstantOfShape nodes

• Demos

  • demoDiffusion:
    • Added support for the Cosmos-Predict2 text2image and video2world pipelines

See the TensorRT 10.13.3 Release Notes for more information.

• Added support for TensorRT API Capture and Replay feature, see the developer guide for more information.

Demo changes

• Added support for Flux Kontext pipeline.

10.13.2 GA - 2025-8-18

For more information, see the 10.13.2 release notes.

• Added support for CUDA 13.0, dropped support for CUDA 11.X
• Dropped support for Ubuntu 20.04
• Dropped support for Python versions < 3.10 for samples and demos