Brainchip AKIDA dramatically out performs Nvidia V100 GPU:
https://www.researchsquare.com/article/rs-6414048/v1improved 99.1% on Akida. This increase in accuracy is accompanied by a drastic re- duction in latency, from 3.1 ms for GPU to 0.7 ms for Akida, illustrating the real-time processing capability of the neuromorphic hardware. Besides this, the power usage of the Loihi 2 and Akida platforms 4 W and 3 W respectively— is a brilliant power efficiency against traditional GPU-based systems consuming 45 W. Throughput is also dramati- cally increased, with Akida being able to support 12,400 QPS, in strong contrast to the GPU's 1,200 QPS. Such results justify the single value of neuromorphic hardware as an approach for energy-efficient high-performance DoH anomaly detection and prove how our new approach beats current systems and becomes the future standard for real-timesystem encrypted traffic protection(14)”
The significance of these findings cannot be over stated or overlooked.
My opinion only DYOR
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