At Embedl, we tackle the challenge of deploying high-performance AI models on resource-limited devices essential for real-time decision-making. Embedl’s award-winning, hardware-aware model optimization SDK was built to bring the ultimate in AI efficiency — delivering up to 18x gains in performance (inference speed), up to 83% reduction in energy usage, and memory by up to 95%—empowering efficient, market-leading Edge AI on cost-effective hardware. Our software automates deep learning model optimization using techniques like Neural Architecture Search, Pruning, Quantization, and Knowledge Distillation, enabling fast, energy-efficient AI across diverse edge devices without losing accuracy.

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