ONNX Runtime Insights

What is ONNX Runtime?

ONNX Runtime is a cross-platform, high performance scoring engine for Open Neural Network Exchange (ONNX) models. It's designed to accelerate machine learning inferencing across a wide range of frameworks, operating systems, and hardware. ONNX Runtime is commonly used to deploy trained machine learning models for tasks like image recognition, natural language processing, and recommendation systems, providing optimized execution for faster and more efficient performance.

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What other technologies are related to ONNX Runtime?

ONNX Runtime Competitor Technologies

TensorRT

TensorRT is a high-performance deep learning inference optimizer and runtime from NVIDIA, directly competing with ONNX Runtime in accelerating model inference, particularly on NVIDIA GPUs.

mentioned alongside ONNX Runtime in 5% (201) of relevant job posts

TVM

TVM is a compiler framework for machine learning systems. It optimizes and compiles models for different hardware backends, like ONNX Runtime, and can be a competitive framework in certain scenarios.

mentioned alongside ONNX Runtime in 3% (58) of relevant job posts

ONNX Runtime Complementary Technologies

ROCm

ROCm is AMD's open-source software platform for GPU-accelerated computing. ONNX Runtime can utilize ROCm to execute inference on AMD GPUs, making them complementary technologies.

mentioned alongside ONNX Runtime in 6% (68) of relevant job posts

Triton

Triton Inference Server is a serving software that can use ONNX Runtime as a backend, making them complementary. Triton helps deploy and manage models, while ONNX Runtime accelerates their execution.

mentioned alongside ONNX Runtime in 4% (86) of relevant job posts

ONNX

ONNX (Open Neural Network Exchange) is an open standard for representing machine learning models. ONNX Runtime is designed to execute ONNX models, making them fundamentally complementary.

mentioned alongside ONNX Runtime in 2% (81) of relevant job posts