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ONNX RUNTIME
Cross-platform high performance ML inferencing and training accelerator
MIT
ABOUT
Deploying machine learning models efficiently across different hardware and platforms requires significant optimization work. ONNX Runtime solves this by providing a unified inference engine that accelerates model execution on CPUs, GPUs, and specialized accelerators with minimal code changes.
INSTALL
pip install onnxruntime
# For GPU support:
# pip install onnxruntime-gpu
INTEGRATION GUIDE
1. Accelerate transformer model inference for production LLM serving pipelines
2. Deploy optimized models across cloud, edge, and mobile devices from a single format
3. Reduce inference latency and cost by leveraging hardware-specific graph optimizations
4. Train models with mixed precision and distributed training support
TAGS
pythonc++inferenceoptimizationcross-platformaccelerator