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TensorRT

TensorRT

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What is TensorRT?

TensorRT is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning applications. It is commonly used to optimize trained neural networks from various frameworks (TensorFlow, PyTorch, etc.) for deployment in production environments, especially on NVIDIA GPUs.

What other technologies are related to TensorRT?

TensorRT Competitor Technologies

OpenVINO is a toolkit for optimizing and deploying deep learning models, competing with TensorRT in terms of model optimization and inference acceleration on different hardware.
mentioned alongside TensorRT in 35% (315) of relevant job posts
ONNX Runtime is an inference engine that can execute ONNX models, providing an alternative to TensorRT for deploying machine learning models.
mentioned alongside TensorRT in 34% (201) of relevant job posts
TVM is a compiler framework for machine learning systems, offering an alternative approach to optimizing and deploying models, competing with TensorRT.
mentioned alongside TensorRT in 16% (283) of relevant job posts
IREE (Intermediate Representation Execution Environment) is a compiler infrastructure and runtime for machine learning models, providing an alternative deployment path to TensorRT.
mentioned alongside TensorRT in 32% (82) of relevant job posts
XLA (Accelerated Linear Algebra) is a compiler for TensorFlow graphs, which can be an alternative optimization and deployment path for TensorFlow models compared to using TensorRT.
mentioned alongside TensorRT in 14% (154) of relevant job posts
ONNX Runtime is an inference engine that can execute ONNX models, providing an alternative to TensorRT for deploying machine learning models. (Same as ONNX Runtime).
mentioned alongside TensorRT in 22% (64) of relevant job posts
TFLite is TensorFlow's solution for mobile and embedded devices, often competing with TensorRT for similar deployment scenarios.
mentioned alongside TensorRT in 17% (82) of relevant job posts
CoreML is Apple's machine learning framework, which can be used to deploy models on Apple devices, serving as an alternative to TensorRT in that ecosystem.
mentioned alongside TensorRT in 12% (73) of relevant job posts

TensorRT Complementary Technologies

ONNX is a standard for representing machine learning models, and TensorRT can ingest and optimize ONNX models for deployment.
mentioned alongside TensorRT in 20% (930) of relevant job posts
cuDNN is a library of optimized primitives for deep learning, which TensorRT uses to accelerate computations.
mentioned alongside TensorRT in 41% (405) of relevant job posts
CUDA is NVIDIA's parallel computing platform and programming model, and TensorRT is built on top of CUDA.
mentioned alongside TensorRT in 7% (1.8k) of relevant job posts

Which organizations are mentioning TensorRT?

Organization
Industry
Matching Teams
Matching People
TensorRT
NVIDIA
Scientific and Technical Services
TensorRT
Zoox
Scientific and Technical Services
TensorRT
Aurora Innovation
Scientific and Technical Services

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