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The v0.4.0 release of the ONNX Runtime WebGPU Plugin EP brings kernel optimizations, expanded operator support, and reliability fixes, including fused activations for Conv/MatMul, int8 KV cache quantization, and Linux AArch64 packages.
Read the article ↗ONNX Runtime 1.30.0 expands CUDA generative AI with INT4 paged KV caches and speculative decoding, adds Go bindings, and gates CPU FP16 Gemm and MatMul on hardware acceleration with FP32 fallback.
Read the article ↗ONNX Runtime's WebGPU plugin 0.3.0 expands operator and integer support, adds PagedAttention and quantized KV cache for generative models, and improves cold-start shader compilation.
Read the article ↗ONNX Runtime 1.29.0 brings PagedAttention with quantized KV cache, NVFP4 QMoE for CUDA, and WebGPU EP expansions, while deprecating WebGL and JSEP in onnxruntime-web. Security fixes cover path traversal and operator validation.
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