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Panelists from NVIDIA, Wistron, and Western Digital argue that the next generation of AI supercomputers will integrate QPUs, GPUs, and CPUs into a single tightly coupled system rather than treating quantum as a standalone accelerator. This architectural shift highlights significant manufacturing and infrastructure challenges across the entire tech stack, positioning quantum computing at an inflection point similar to the early ecosystem growth of GPUs.
Jin-Sung Kim, Wistron, and Western Digital map quantum’s path to AI supercomputers
On October 7, Anyon Computing hosted “Quantum in the next AI Supercomputer” with co-hosts NVIDIA and Wistron during SF Tech Week by a16z. The event discussed scaling quantum computing with the AI computing industry, as the next supercomputer will have QPUs, GPUs and CPUs tightly coupled in one machine, with Jin-Sung Kim of NVIDIA, Chiy-Ferng Alex Perng of Wistron and Zvonimir Bandic of Western Digital sharing perspectives on building and scaling.
On October 7, NVIDIA’s Jin-Sung Kim joined representatives from Wistron and Western Digital at the “Quantum in the next AI Supercomputer” event during SF Tech Week by a16z to discuss a fundamental shift in supercomputing architecture. The event focused on a vision for machines tightly coupling quantum processing units,…
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