Abstract
The Tesla-built DOJO system is a scalable solution targeted towards Machine Learning training applications. It is based on the D1 custom compute chip which packs together 354 independent processors, resulting in 362 TFlops of compute and 440 MB of internal SRAM storage. While maintaining full programmability, DOJO emphasizes distribution of resources and an extremely high bandwidth interconnect, allowing it to scale from small systems all the way to Exa-Flop supercomputers.
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