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AZuroNanoOpt v6.1 – Hyper-Compact Edge AI Optimizer
- DREDREG 11mo agoUltra-fast. Ultra-small. ONNX-ready. AzuroNanoOpt v6.1 is a next-gen AI optimization engine built for edge devices, micro-GPUs, NPUs and embedded ML workflows. Designed for extreme efficiency, fast convergence and seamless deployment. Training Performance Dataset: 2,000 train / 500 test Accuracy: 100% by epoch 6, stable through epoch 10 Loss: 2.305 → 0.038 (adaptive LR: 0.01 → 0.00512) Stability: Clean convergence even on very small datasets Speed & Efficiency Step time: 4.28 ms Throughput: 25.56M params/sec Inference latency: 2.36 ms → 2.34 ms (INT8) Hardware: Standard CPU (no GPU acceleration) Model Compression Original: 0.42 MB INT8 Quantized: 0.13 MB 70% reduction with 0% accuracy loss MSE: 0.00000000, max diff: 0.000000 ONNX Export (Opset 18) Dynamic shapes File size: 0.01 MB Fully clean graph, zero warnings Production-ready on Windows, Linux, embedded boards Licensing 30-day fully functional trial Enterprise-grade isolation & sandbox support mail: kretski1@gmail.com Demo: pip install azuronanoopt-kr TestPyPI: azuronanoopt-kr