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ONNX Runtime

Model ● Covered in 4 stories + Follow

ONNX Runtime is a cross-platform machine learning acceleration tool that optimizes inference performance for models deployed across different hardware backends. Recent developments show it now supports over 130,000 Hugging Face models including large language models and image generation systems, with reported latency improvements ranging from 74% for speech models to 229% for image generation models compared to PyTorch, and integration with tools like Hugging Face Optimum enabling faster inference for production workloads.

Updated 8 August 2026

Specifications

No specifications recorded yet.

Latest developments

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters Hugging Face · 2 months ago · 38
Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive Hugging Face · 2 years ago · 21
Accelerating over 130,000 Hugging Face models with ONNX Runtime Hugging Face · 2 years ago · 19
Accelerated Inference with Optimum and Transformers Pipelines Hugging Face · 4 years ago · 29

Timeline

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