Release notes from onnxruntime
Articles about Release notes from onnxruntime
ONNX Runtime v1.31.0
ONNX Runtime 1.31.0 stabilizes model-package and EPContext data APIs, improves CPU model loading and quantized MoE inference, expands device-based execution-provider selection, and strengthens model-loading and runtime reliability. These notes cover changes since ONNX Runtime 1.30.0. CUDA and WebGPU kernel updates are summarized here; detailed provider notes are covered by their separate plugin EP releases.
ONNX Runtime CUDA Plugin EP 0.3.0
This release brings sparse attention and packed continuous-batching support, INT2 and mixed-width QMoE execution, decode-kernel tuning, and reliability fixes to the ONNX Runtime CUDA Plugin EP. Hig
ONNX Runtime CUDA Plugin EP 0.2.0
This release brings expanded quantized inference and attention support, kernel performance improvements, and reliability fixes to the ONNX Runtime CUDA Plugin EP. Highlights include 2-bit MatMulNBi
ONNX Runtime v1.28.3
This is a patch release on top of v1.28.2, containing memory-safety and model-validation fixes, a plugin execution fix, and packaging infrastructure updates. Highlights Bug Fixes Fixed an out-of-b
ONNX Runtime WebGPU Plugin EP v0.4.0
This release brings kernel performance improvements, expanded operator support, and reliability fixes to the ONNX Runtime WebGPU Plugin EP. Highlights Performance Optimized MatMulNBits wide-tile e