Considering that NVIDIA declared construction of the U.K.’s most powerful AI supercomputer — Cambridge-one — Marc Hamilton, vice president of options architecture and engineering, has been (remotely) overseeing its constructing across the pond.
The process, which will be offered for U.K. health care scientists to perform on pressing challenges, is currently being developed on NVIDIA DGX SuperPOD architecture for a whopping 400 petaflops of AI effectiveness.
Located at Kao Data, a info middle using 100 p.c renewable strength, Cambridge-1 would rank among the world’s major a few most vitality-efficient supercomputers on the newest Environmentally friendly500 checklist.
Hamilton factors to the focus of major healthcare businesses in the U.K. as a most important rationale for NVIDIA’s final decision to build Cambridge-one.
AstraZeneca, GSK, Guy’s and St Thomas’ NHS Basis Belief, King’s College or university London, and Oxford Nanopore have previously introduced their intent to harness the supercomputer for study in the coming months.
Building has been progressing at NVIDIA’s regular pace-of-mild rate, with just final installations and original assessments remaining.
Hamilton promises to provide the most recent updates on Cambridge-1 at GTC 2021.
Crucial Factors From This Episode:
- Hamilton gives listeners an explainer on Cambridge-1’s scalable models, or constructing blocks — NVIDIA DGX A100 techniques — and how just 20 of them can deliver the equivalent of hundreds of CPUs.
- NVIDIA intends for Cambridge-one to speed up corporate exploration in addition to that of universities. Among them are King’s School London, which has already declared that it’ll be working with the method.
“With only 20 [DGX A100] servers, you can develop just one of the prime 500 supercomputers in the world” — Marc Hamilton [9:14]
“This is the initially time we’re getting an NVIDIA supercomputer by our engineers and opening it up to our associates, to our customers, to use” — Marc Hamilton [10:17]
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