Breakthrough edge AI inference performance using NorthPole in 3U VPX form factor

Published: 26 Sept 2024, Last Modified: 30 Sept 2024IEEE HPECEveryoneCC BY-NC 4.0
Abstract: We present preliminary results demonstrating AI (artificial intelligence) inference using the IBM AIU NorthPole Chip [1], [2] incorporated into a compact, rugged 3U VPX form factor module (NP-VPX) [3]. NP-VPX allows NorthPole to be used in edge applications with stringent cooling requirements, high-speed switch fabrics, and rugged environments. NP-VPX processes 965 frames per second (fps) with a Yolo-v4 network with 640 ⇥ 640 pixel images at 73.5 W at full-precision accuracy, achieving 13.2 frames / J (fps / W). NP-VPX processes over 40,300 fps with a ResNet-50 network with 224 ⇥ 224 pixel images at 65.9 W at full-precision accuracy, achieving 611 frames / J.
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