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Conference Paper ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System
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Authors
Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon
Issue Date
2022-06
Citation
International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, pp.1-3
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/AICAS54282.2022.9869983
Abstract
We developed ArtBrain-K, an artificial intelligence server system with a performance of 5 PetaFLOPS per rack that can have a small form factor with low power, 2400W based on a proprietary artificial intelligence processor with 40 TeraFLOPS performance, and 15W power consumption. It consists of 8 artificial intelligence compute nodes with a performance of 590 TeraFLOPS and 300W power consumption which loaded with 20 ABrain-S NPU boards based on the artificial intelligence processor. Also, we developed AIWareRT, a software development environment for independent artificial intelligence processor. Compared to the existing GPU system, the performance is 3 times higher and the power efficiency is 7 times higher. It has been applied to the next-generation airport automatic immigration system and image recognition-based security system, and it can be used in fields that require enormous computing resources for data processing and learning, such as a huge neural network such as a transformer-based artificial intelligence algorithm.
KSP Keywords
Computing resources, Data processing, Image recognition, Intelligence algorithm, Next-generation, Power Consumption, Power Efficiency, Software development environment, artificial intelligence, low power, neural network(NN)