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Supersized and scaling: China pushes 10,000-card computing clusters in AI race
Tecnología
05.05.2026

Supersized and scaling: China pushes 10,000-card computing clusters in AI race

In China, computing facilities have emerged as a new form of infrastructure over the past two years, sparking an arms race among cities and technology companies to build 10,000-card computing clusters. These clusters – which link 10,000 or more artificial intelligence accelerator chips – enable faster iteration of AI capabilities and significantly reduce model training times. Domestic champions, from tech giants such as Huawei Technologies and Alibaba Group Holding to graphics processing unit...

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China targets top spot in supercomputing with fully domestic machine
NOTICIA
05.05.2026

China targets top spot in supercomputing with fully domestic machine

China has unveiled a new supercomputer built from entirely home-grown CPUs, with the aim of beating the world’s fastest machine while sidestepping US export controls. Known as Lingsheng or LineShine, it is designed to reach 2 exaflops – or two quintillion calculations per second – edging past the 1.8-exaflop El Capitan, the current record holder at the Lawrence Livermore National Laboratory in California. Unlike other exascale supercomputers, which rely on graphics processing units (GPUs),...

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SCMP Economy
China targets top spot in supercomputing with fully domestic, CPU-only machine
NOTICIA
05.05.2026

China targets top spot in supercomputing with fully domestic, CPU-only machine

China has unveiled a new supercomputer built from entirely home-grown CPUs, with the aim of beating the world’s fastest machine while sidestepping US export controls. Known as Lingsheng or LineShine, it is designed to reach 2 exaflops – or two quintillion calculations per second – edging past the 1.8-exaflop El Capitan, the current record holder at the Lawrence Livermore National Laboratory in California. Unlike other exascale supercomputers, which rely on graphics processing units (GPUs),...

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SCMP Economy
Chinese GPU Maker Moore Threads Posts Q1 Profit on Surging Domestic Demand
NOTICIA
27.04.2026Resumen IA

Chinese GPU Maker Moore Threads Posts Q1 Profit on Surging Domestic Demand

Moore Threads Technology, a Chinese GPU challenger to Nvidia, reported a Q1 2026 net profit of 29.4 million yuan, reversing a year-earlier loss of 112.5 million yuan. Quarterly revenue surged 155% to 737.6 million yuan, driven by domestic computing demand amid Beijing's chip self-sufficiency push. The company disclosed a 660 million yuan order for its KUAE computing cluster at end-March.

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Chinese Optical Module Makers Outpace Kweichow Moutai as AI Infrastructure Boom Creates New Billionaires
En desarrollo
Business·24.04.2026Resumen IA

Chinese Optical Module Makers Outpace Kweichow Moutai as AI Infrastructure Boom Creates New Billionaires

Three Chinese optical module manufacturers have seen their stock prices surge 5-10x in the past year, with combined market capitalisation now exceeding baijiu giant Kweichow Moutai. Zhongji Innolight, the world's largest optical module producer, saw shares jump tenfold, while peers Eoptolink and TFC Optical gained more than five times. The firms, which produce components for high-speed data transmission in AI infrastructure, became the second and third most popular stocks among actively managed equity funds in Q1 2026.

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Intel CEO Says CPU Making Comeback as AI Era Drives Surging Demand
En desarrollo
Tecnología·24.04.2026Resumen IA

Intel CEO Says CPU Making Comeback as AI Era Drives Surging Demand

Intel CEO Lip-Bu Tan says CPUs are making a comeback in the AI era, with the chip regaining importance as the indispensable foundation for AI workloads. The company beat first-quarter earnings estimates, with data centre revenue rising 22% to US$5.1 billion. Intel shares surged about 20% in after-hours trading, marking a rebound after lagging in the early AI boom. The shift is driven by increasing AI agentic capabilities that are fueling CPU demand, moving away from the earlier "more GPUs, more compute" narrative.

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