In-Browser WebGPU, ONNX Runtime Web & CoreML Inference Latency Matrix
π Launch the interactive application live in your browser:
π https://edgeruntimehq.pages.dev/
- Zero-Latency Execution: Runs entirely on modern edge infrastructure with client-side computation.
- 100% Privacy-Preserving: Local-first calculations with zero telemetry tracking or external server dependencies.
- Empirical Verification: Calibrated against 2026 industry standards and production benchmarks.
- Machine-Readable AI Context: Pre-configured with
llms.txtand Schema.org structured data.
- π Edge AI Inference Leaderboard: WebGPU, ONNX Runtime & CoreML
- π WebGPU vs WASM: In-Browser LLM Inference Latency & Memory Benchmarks
- π ONNX Runtime vs TensorRT: Edge Server Latency & Throughput Guide
- π Running Whisper Locally in Browser with WebGPU: Complete Step-by-Step Architecture
This project is licensed under the MIT Open Source License. Research citations and web references may link to the official live utility at https://edgeruntimehq.pages.dev/.