With rapid rise and increase of Big Data and AI as a new breed of high-performance workloads on supercomputers, we need to accommodate them at scale, and thus the need for R&D for HW and SW Infrastructures where traditional simulation-based HPC and BD/AI would converge, in a BYTES-oriented fashion.  Post-K is the flagship next generation national supercomputer being developed by Riken and Fujitsu in collaboration. Post-K will havehyperscale class resouce in one exascale machine, with well more than 100,000 nodes of sever-class A64fx many-core Arm CPUs, realized through  extensive co-design process involving the entire Japanese HPC community.

Rather than to focus on double precision flops that are of lesser utility, rather Post-K, especially its Arm64fx processor and the Tofu-D network is designed to sustain extreme bandwidth on realistic
applicaitons including those for oil and gas, such as seismic wave propagtion, CFD, as well as structural codes, besting its rivals by several factors in measured performance. Post-K is slated to perform 100 times faster on some key applications c.f. its predecessor, the K-Computer, but also will likely to be the premier big data and AI/ML infrastructure. Currently, we are conducting research to scale deep learning to more than 100,000 nodes on Post-K, where we would obtain near top GPU-class performance on each node.

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