NVIDIA has unveiled its DGX Station A100, an “AI
data-centre-in-a-box” powered through up to 4 80GB variations of the company’s
record-setting GPU.
The A100 Tensor Core GPU set new MLPerf benchmark files
closing month—outperforming CPUs with the aid of up to 237x in facts centre
inference. In November, Amazon Web Services made eight A100 GPUs on hand in
every of its P4d instances.
For these who decide upon their hardware local, the DGX
Station A100 is reachable in both 4 80GB A100 GPUs or 4 40GB configurations.
The mammoth 80GB model of the A100 has twice the reminiscence of when the GPU
used to be firstly unveiled simply six months ago.
“We doubled the whole thing in this machine to make it
greater advantageous for customers,” stated Paresh Kharya, senior director of
product administration for accelerated computing at NVIDIA.
NVIDIA says the two configurations furnish picks for
statistics science and AI lookup groups to pick out a device in accordance to
their special workloads and budgets.
Charlie Boyle, VP and GM of DGX structures at NVIDIA,
commented:
“DGX Station A100 brings AI out of the records centre with a
server-class machine that can plug in anywhere.
Teams of information science and AI researchers can speed up
their work the usage of the identical software program stack as NVIDIA DGX A100
systems, enabling them to without problems scale from improvement to
deployment.”
The reminiscence ability of the DGX Station A100 powered by
using the 80GB GPUs is now 640GB, enabling a good deal large datasets and
models.
“To strength complicated conversational AI models like BERT
Large inference, DGX Station A100 is extra than 4x quicker than the preceding
technology DGX Station. It promises almost a 3x overall performance raise for
BERT Large AI training,” NVIDIA wrote in a release.
DGX A100 640GB configurations can be built-in into the DGX
SuperPOD Solution for Enterprise for unparalleled performance. Such “turnkey AI
supercomputers” are handy in gadgets consisting of 20 DGX A100 systems.
Since obtaining ARM, NVIDIA continues to double-down on its
funding in the UK and its neighborhood talent.
“We will create an open centre of excellence in the region
as soon as domestic to giants like Isaac Newton and Alan Turing, for whom key
NVIDIA applied sciences are named,” Huang stated in September. “We prefer to
propel ARM – and the UK – to world AI leadership.”
NVIDIA’s modern day supercomputer, the Cambridge-1, is being
established in the UK and will be one of the first SuperPODs with DGX A100
640GB systems. Cambridge-1 will at the start be used by using neighborhood
pioneering businesses to supercharge healthcare research.
Dr Kim Branson, SVP and Global Head of AI and ML at GSK,
commented:
“Because of the big dimension of the datasets we use for
drug discovery, we want to push the boundaries of hardware and enhance new
computing device mastering software.
We’re constructing new algorithms and strategies in addition
to bringing collectively the fantastic minds at the intersection of medicine,
genetics, and synthetic talent in the UK’s wealthy ecosystem.
This new partnership with NVIDIA will additionally make
contributions extra computational energy and today's AI technology.”
The use of AI for healthcare lookup has acquired more
interest due to the coronavirus pandemic. A current simulation of the
coronavirus, the biggest molecular simulation ever, simulated 305 million atoms
and used to be powered by way of 27,000 NVIDIA GPUs.
Several promising COVID-19 vaccines in late-stage trials
have emerged in current days which have raised hopes that existence should be
more often than not lower back to regular via summer, however we in no way understand
when the subsequent pandemic may additionally strike and there are nonetheless
many challenges we all face each in and out of healthcare.
Systems like the DGX Station A100 assist to make sure that –
anything challenges we face now and in the future – researchers have the
strength they want for their critical work.
Both configurations of the DGX Station A100 are anticipated to commence transport this quarter.
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