China’s LineShine Supercomputer
Overtakes U.S. Rival, Signalling New Phase in Technology Race
A supercomputer in Shenzhen was declared
the world’s fastest. It uses only standard microprocessors and not the
special-purpose chips called graphics processing units.
1.
China has reclaimed the title of the world's fastest
supercomputer with LineShine, located in Shenzhen, ending a U.S. lead
that had lasted since 2017.
2.
LineShine surpassed El Capitan, the system at Lawrence Livermore
National Laboratory, by more than 20% in standard supercomputer benchmark
tests.
3.
A major innovation of LineShine
is that it achieves top performance without relying on Graphics Processing
Units (GPUs), which are the foundation of most modern high-performance
computing systems.
4.
Instead, the system uses advanced central processing
units (CPUs) with built-in circuitry optimized for AI-related matrix
and vector calculations.
5.
Experts believe this architecture could offer a more
efficient way to combine:
o Artificial intelligence
workloads, and
o Traditional scientific
computing tasks.
6.
The achievement highlights China's efforts to overcome U.S.
technology restrictions, particularly export controls on advanced AI chips and
semiconductor manufacturing equipment.
7.
The development comes amid intensifying technological
competition between China and the United States in:
o Artificial
intelligence,
o Semiconductor
technology,
o Supercomputing,
o National security
applications.
8.
China's success follows other recent advances, including AI
innovations by DeepSeek, which demonstrated strong AI capabilities despite limited
access to advanced chips.
9.
Some U.S. analysts argue that China's use of standard CPUs
exposes a potential loophole in current American export-control policies.
10.
Supercomputers remain strategically important for:
o Climate modelling,
o Scientific research,
o Nuclear weapons
simulation,
o Cryptography,
o National security
applications.
11.
While LineShine leads traditional
supercomputing rankings, some experts note that large AI training systems
operated by companies such as OpenAI, Google, and Anthropic may still possess
greater overall AI-processing capabilities.
12.
The system contains nearly 14 million computing
cores housed in approximately 90 hardware cabinets, making it one of the
largest computing installations ever built.
13.
The processor design is based on technology licensed from Arm Holdings, whose chip
architecture is widely used in smartphones and increasingly in data centres.
14.
Chinese developers have not publicly disclosed:
o The manufacturer of the
chips,
o The semiconductor
fabrication process used,
o Detailed production
specifications.
15.
Experts believe China may have possessed comparable
high-performance systems for years but had chosen not to submit benchmark
results for international rankings.
16.
The appearance of LineShine at
the top of the rankings is viewed as evidence that export restrictions have
encouraged China to develop alternative computing architectures rather than
relying on foreign technology.
17.
The system is already being used for advanced scientific
projects, including:
o Earth-system
simulations covering atmosphere, oceans, land and ice,
o Large-scale human brain
simulations,
o Other high-performance
scientific applications.
18.
The achievement is likely to intensify U.S.-China
competition in supercomputing and may strengthen arguments in Washington for
increased investment in advanced computing initiatives such as the Genesis Mission.
19.
The development underscores a broader geopolitical trend:
technological leadership is increasingly becoming a key measure of economic
strength, scientific capability and national security influence.
China
took back a coveted computing crown from the United States on Tuesday,
ratcheting up a fierce technological competition that has implications for
science, national security and geopolitics.
LineShine, a massive computing system in
Shenzhen, China, was declared the world’s fastest by a group of researchers
using a set of standard tests for supercomputers. Besides raw speed, the system
stood out because it uses only standard microprocessors and not the
special-purpose chips called graphics processing units, which most high-end
supercomputers rely on for heavy number crunching.
That
underlying design could point to a better way to blend artificial intelligence
with traditional scientific tasks, said Jack Dongarra, an organizer of the
so-called Top500 list of the world’s most powerful supercomputers.
Dr.
Dongarra, a professor of computer science and electrical engineering at the
University of Tennessee, recently inspected the new machine, at the Shenzhen
Cloud Computing Center. LineShine’s
test results were more than 20 percent faster than those of El Capitan, a
system at Lawrence Livermore National Laboratory in California that has topped
a twice-yearly ranking of supercomputer performance since November 2024. China
had not placed a machine at the top of the list since 2017.
“It’s
an impressive system,” Dr. Dongarra said of LineShine.
“They upped us by developing a system that is not reliant on GPUs.”
The
new supercomputer adds to the race between China and the United States for
technological supremacy. U.S. tech giants like OpenAI, Anthropic and Google
have developed leading A.I. models, while another American company, Nvidia, has
become the world’s dominant supplier of A.I. chips. China has tried to innovate
in different ways, with the Chinese start-up DeepSeek releasing a cutting-edge
A.I. model last year using just a tiny fraction of specialized A.I. chips.
To
prevent China from catching up, President Trump has imposed tariffs and at
times placed limits on A.I. chip exports. But China’s use of standard
microprocessors, which are known as CPUs, rather than GPUs to create an
ultrafast supercomputer suggests a potential way to get around those
roadblocks.
“The
U.S. government should have stronger controls on the export and manufacturing
of CPUs for the China market,” said Jimmy Goodrich, a senior fellow at the
University of California Institute on Global Conflict and Cooperation. “It is a
loophole in the current regulations.”
Supercomputers,
a term for the largest machines dedicated to science, have been used since the
1960s for tasks like creating climate models, cracking codes and designing
nuclear weapons. They typically use high-precision mathematics, expressing
numbers with 64 bits of data.
Commercial
A.I. systems from companies like Google and OpenAI, by contrast, can be even
faster. They can use approximations for tasks such as identifying images or
selecting the next word in a sentence, relying on what are known as four-bit
and eight-bit numbers that allow the systems to make many simpler calculations
at once.
“It
is notable and impressive what China has done here, but they can’t hold a
candle to these massive A.I. supercomputers that have been built by American
A.I. labs” and others, Mr. Goodrich said.
U.S.
national labs, which are the main buyers of some of the largest supercomputers,
are eager to use A.I. to accelerate aspects of their scientific work. So they are adopting more of these less precise
calculations, along with the 64-bit variety.
Though
U.S. companies have historically dominated the ranks of the very largest
supercomputers, foreign systems have sometimes vaulted to the top. A system in
Japan, for example, ranked No. 1 on the list from 2020 to 2022.
“There’s
a lot of talk that America is the only country capable of these systems,” said
Addison Snell, an analyst at Intersect360 Research, a firm tracking the sector.
“Then you find that other companies have capabilities, too.”
Powerful
systems from China and Japan have regularly spurred the Department of Energy
and other U.S. agencies to push for more funding for supercomputers. In
November, the Trump administration started the Genesis Mission, which aims to
exploit supercomputers at U.S. national labs, along with private companies, to
supercharge A.I. and scientific research.
GPUs,
primarily developed by Nvidia and Advanced Micro Devices, have been a critical
weapon in the recent supercomputer race. These chips excel in doing many chores
simultaneously, including so-called vector calculations used in science and
matrix multiplication at the heart of many A.I. tasks.
When
U.S. officials limited China’s access to GPUs and other powerful chips, as well
as restricting exports of some machines for manufacturing the most advanced
semiconductors, that caused it “to invest in developing architectures and
technology to effectively have supercomputers that are at the same level as the
U.S.’s highest-performing systems,” Dr. Dongarra said.
China’s
LineShine system does not separate the traditional
jobs of microprocessors and GPUs, as most high-end systems do. Instead, it
builds in GPU-style tasks with specialized circuitry that accelerates matrix
and vector calculations. That ability is embedded in chips that have a total of
nearly 14 million computing cores, or tiny electronic brains, installed in 90
hardware cabinets.
These
chips are an original design based on a set of instructions licensed by Arm
Holdings, a British company that is controlled by the Japanese conglomerate
SoftBank. Arm’s technology is best known for powering smartphones but has
lately been adapted by Nvidia, Amazon, Qualcomm and others for use in data centers.
Arm
has long operated in China. “Arm operates globally, including in China, in
compliance with applicable export control laws and regulations,” a company
spokeswoman said.
LineShine’s designers, who are supercomputer
veterans in China, have not disclosed details about which company manufactured
the chips or the level of chip production technology used, Dr. Dongarra said.
He
and other experts have long thought that China had systems capable of a No. 1
ranking, but laboratories there had not recently submitted test results.
“It
doesn’t surprise me that there is a Chinese machine capable of being No. 1,”
Mr. Snell said. “The surprise is that they wanted the acknowledgment.”
Dr.
Dongarra, who wrote a detailed report on the new system, was told while
visiting China that the system had been made without government funding, so the
designers felt it was permissible to submit tests for the Top500 ranking, he
said.
The
Shenzhen scientists have also sought recognition for the new machine through 14
submissions for the Gordon Bell Prize, which promotes solving sophisticated
problems in science, Dr. Dongarra said. Three systems are finalists for that
award, and three for a related prize in climate science.
LineShine has been used for projects like a
sophisticated simulation of Earth, including atmosphere, ocean, land and ice
components, as well as a complex simulation of the human brain, according to
Dr. Dongarra’s report.