Analysis-Banned U.S. AI chips in high demand at Chinese state institutes
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[September 06, 2022]
By Eduardo Baptista
BEIJING (Reuters) - High-profile
universities and state-run research institutes in China have been
relying on a U.S. computing chip to power their artificial intelligence
(AI) technology but whose export to the country Washington has now
restricted, a Reuters review showed.
U.S. chip designer Nvidia Corp last week said U.S. government officials
have ordered it to stop exporting its A100 and H100 chips to China.
Local peer Advanced Micro Devices Inc (AMD) also said new licence
requirements now prevent export to China of its advanced AI chip MI250.
The development signalled a major escalation of a U.S. campaign to
stymie China's technological capability as tension bubbles over the fate
of Taiwan, where chips for Nvidia and almost every other major chip firm
are manufactured.
China views Taiwan as a rogue province and has not ruled out force to
bring the democratically governed island under its control. Responding
to the restrictions, China branded them a futile attempt to impose a
technology blockade on a rival.
A Reuters review of more than a dozen publicly available government
tenders over the past two years indicated that among some of China's
most strategically important research institutes, there is high demand -
and need - for Nvidia's signature A100 chips.
Tsinghua University, China's highest-ranked higher education institution
globally, spent over $400,000 last October on two Nvidia AI
supercomputers, each powered by four A100 chips, one of the tenders
showed.
In the same month, the Institute of Computing Technology, part of top
research group, the Chinese Academy of Sciences (CAS), spent around
$250,000 on A100 chips.
The school of artificial intelligence at a CAS university in July this
year also spent about $200,000 on high-tech equipment including a server
partly powered by A100 chips.
In November, the cybersecurity college of Guangdong-based Jinan
University spent over $93,000 on an Nvidia AI supercomputer, while its
school of intelligent systems science and engineering spent almost
$100,000 on eight A100 chips just last month.
Less well-known institutes and universities supported by municipal and
provincial governments, such as in Shandong, Henan and Chongqing, also
bought A100 chips, the tenders showed.
None of the research departments responded to requests for comment on
the effect on their projects of the A100 export curb.
Nvidia did not respond to a request for comment. Last Wednesday, it said
it had booked $400 million in Chinese sales of the affected chips this
quarter which could be lost if its customers decide not to buy
alternative Nvidia products. It also said it planned to apply for
exemptions to the new rules.
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The logo of Nvidia Corporation is seen
during the annual Computex computer exhibition in Taipei, Taiwan May
30, 2017. REUTERS/Tyrone Siu/File Photo
REPLACEMENTS
The lack of chips from the likes of Nvidia and AMD is likely to hamper efforts
at Chinese organisations to cost-effectively carry out the kind of advanced
computing used for tasks such as image and speech recognition.
Image recognition and natural language processing are common in consumer
applications such as smartphones that can answer queries and tag photos. They
also have military uses such as scouring satellite imagery for weapons or bases
and filtering digital communications for intelligence-gathering purposes.
Experts said there are few Chinese chipmakers that could readily replace such
advanced Nvidia and AMD chips, and buyers could instead use multiple lower-end
chips to replicate the processing power.
Reuters could not locate any Chinese government tenders mentioning the other two
restricted chips - Nvidia's H100 and AMD's MI250.
But some of the tenders showed, for instance, chip purchases from U.S.
technology firm Intel Corp and proposals for purchasing less-sophisticated
Nvidia products, underscoring China's reliance on an array of U.S. chip
technology.
One tender in May showed the Chinese Academy of Surveying and Mapping, a
research institute of the Ministry of Natural Resources, considering an Nvidia
AI supercomputer to improve its ability to create three-dimensional images from
geographic data.
"The proposed NVIDIA DGX A100 server will be equipped with 8 A100 chips with
40GB memory, which will greatly improve the data-carrying capacity and computing
speed, shorten the scientific research process, and get scientific research
results faster and better," the tender read.
The National University of Defense and Technology (NUDT), which describes itself
as a "military university" and "under the direct leadership of the Central
Military Commission", China's top military body, is also among the buyers of
A100 chips.
The NUDT, home of Tianhe-2, one of the world's most powerful supercomputers, has
been on a U.S. blacklist since 2015 due to national security concerns,
eliminating the university's access to the Intel processors it uses in its
supercomputers.
One May tender showed the institute planned to buy 24 Nvidia graphics processing
units with AI applications. The tender was published again last month,
indicating NUDT had not yet found the right deal or supplier.
NUDT did not respond to a request for comment.
(Reporting by Eduardo Baptista; Additional reporting by Josh Horwitz; Editing by
Miyoung Kim and Christopher Cushing)
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