NVIDIA/TensorRT
View on GitHubNVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
- Stars
- 13.4k
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- 2.4k
- Open beginner issues
- 0
- Indexed issues
- 581
- Avg merge
- 5d 3h
- Merged PRs (30d)
- 2
- Dominant language
- C++
- License
- Apache-2.0
- Last GitHub push
- Aug 25, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
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Module:Performance
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Engine Build
Difficulty 4/5 3-5 days Newbie friendliness 30/100
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Module:Embedded Module:Engine Build Module:ONNX triaged
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Performance
Difficulty 5/5 Over a week Newbie friendliness 25/100
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Module:TREx
Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Feature Request
Difficulty 5/5 Over a week Newbie friendliness 15/100
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Module:Engine Build
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Quantization triaged
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Module:Performance triaged
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Module:Documentation triaged
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ONNX to TensorRT taking too long on TensorRT 10.13.2.6 when running on RTX4060 Mobile with CUDA 12.8 OpenModule:Engine Build triaged
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internal-bug-tracked Module:Accuracy Module:ONNX triaged
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Module:OSS Build triaged
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Module:Quantization triaged
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Module:Accuracy triaged
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I have a different result using TensorRT10 and TensorRT8 for inference. What is the reason for this? OpenModule:Accuracy triaged
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Module:ONNX
Difficulty 5/5 Over a week Newbie friendliness 25/100
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Module:Quantization triaged
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Accuracy Module:ONNX
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Module:Quantization triaged
Difficulty 4/5 3-5 days Newbie friendliness 30/100
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Feature Request triaged
Difficulty 5/5 Over a week Newbie friendliness 35/100
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Module:Performance Module:Quantization triaged
Difficulty 4/5 3-5 days Newbie friendliness 28/100
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Module:Engine Build triaged
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Runtime
Difficulty 4/5 3-5 days Newbie friendliness 30/100
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use_dynamic_shape=true ran into inference failure of TensorRT when running tf serving on GPU A100 OpenModule:ONNX Module:Performance Module:Runtime
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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internal-bug-tracked Module:OSS Build Module:Runtime triaged
NVIDIA/TensorRT#4520 · 4 comments · 5 reactions · 1 assignee ·
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Module:ONNX Module:Performance triaged
Difficulty 4/5 3-5 days Newbie friendliness 20/100
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Module:Performance Module:Runtime
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Accuracy Module:ONNX
Difficulty 4/5 3-5 days Newbie friendliness 38/100
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Investigating Module:Accuracy Module:ONNX
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Module:Accuracy Module:ONNX triaged
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Module:Engine Build Module:ONNX Module:Runtime
Difficulty 4/5 3-5 days Newbie friendliness 42/100
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Module:Engine Build Module:ONNX Module:Samples
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Module:Accuracy Module:ONNX
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Module:Performance Module:Polygraphy Module:Quantization
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Pylance errors Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Module:Accuracy triaged
Difficulty 4/5 3-5 days Newbie friendliness 28/100
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internal-bug-tracked Module:Performance triaged
Difficulty 4/5 3-5 days Newbie friendliness 38/100
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Module:Embedded triaged
Difficulty 5/5 Over a week Newbie friendliness 30/100
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internal-bug-tracked Investigating Module:Performance triaged
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Module:Accuracy triaged
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Module:ONNX
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Module:ONNX triaged
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Module:Engine Build triaged
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Module:Demo triaged
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ConvNet FP8 support OpenModule:Performance triaged
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Module:Accuracy triaged