NVIDIA/TensorRT v10.15

TensorRT 10.15 Release

Repository: NVIDIA/TensorRT

Tag: v10.15

Published: 2026-02-03T22:22:41Z

Prerelease: no

Release notes: 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.