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TechWire Asia

Nvidia expands Japan AI infrastructure and robotics push AI Appreciation Day 2026 puts trust and governance in focus NVIDIA pours its full stack into Japan. The flip side of its China lockout? Malaysia's digital regulations are becoming a real cost for its startups Malaysia's AI data center vision: How EdgeConneX is building for the future Southeast Asia tech funding doubled to $7.4 billion. One company took most of it SK Hynix's Nasdaq listing raises $26.5 billion to fund Korea's AI memory expansion OpenAI launches GPT-5.6 for coding, cyber and science Meta rolls out Muse Image AI model for Instagram, WhatsApp, and advertisers Malaysia businesses face AI and password cybersecurity risks How AI workloads will test APAC mobile networks Enterprise AI costs don't have to spiral, argues ManageEngine Microsoft launches $2.5B Frontier Company for enterprise AI FIFA World Cup: How To Win Fans in APAC With Technology Kanga enters a new phase of global growth and launches Kanga Global Vertiv ramps up manufacturing in Johor's tightening data centre market U Mobile completes migration to own ULTRA5G network after DNB exit Anthropic Claude models launch in Microsoft Foundry on Azure Asia built the AI infrastructure boom. The BIS just flagged who's exposed if it stalls. Why Apple is lobbying Washington to buy China’s memory chips Nvidia-backed Firmus plans 170,000-GPU Batam AI data centre Taiwan robot makers march into humanoid systems IBM claims world’s first sub-1 nm chip technology using nanostack design Can Alibaba bridge Malaysia’s SME talent gap via agentic AI for business? Huawei’s new tech explains why mobile AI network tech is no longer optional Apple-Intel chip deal faces years-long production timeline The global memory squeeze hits the Mainland China PC market, leading to a decline IBM joins OpenAI cyber program for vulnerability detection Is the Shopee ChatGPT integration the blueprint for the future of Southeast Asian e-commerce? How the global AI boom dropped a record RM1.127 trillion trade windfall on Malaysia Philippines expands Google Cloud public sector AI partnership South Korea takes a positive spin on AI Apple's price hikes trace the memory chip shortage straight back to Asia Why enterprises need clearer accountability for AI agents Google sues Chinese network over AI text phishing scams AI Won't Fix Broken Personalisation: Braze Report Reveals How Media and Entertainment Can Drive Real Success Across APAC Anthropic builds out Claude as OpenAI and Google stay ahead How APAC firms are handling software supply chain security Meta Business Agent turns WhatsApp into a salesperson, and Southeast Asia will decide if it works CrowdStrike: Chinese hackers lead tech sector espionage threats NVIDIA deals in South Korea cover AI memory, cloud and robotics Alibaba Cloud's Johor region launch comes packaged with an agentic AI push in Malaysia Digital Realty Malaysia is open and already looking beyond Cyberjaya AI’s invisible metal: Why tin demand is surging, and supplies are running thin WeChat is opening up to AI agents, and Southeast Asia’s super apps should be nervous TNG eWallet is eyeing agentic payments and its CEO sees Malaysia’s regulatory climate as encouraging AI data centres could double power and water use by 2030 TNG eWallet is no longer just a payment app, and the numbers prove it Nvidia GTC Taipei recap: RTX Spark, Vera, data centres and more Alipay wants AI agents to handle your payments. But who’s really in control? Huawei’s Her’s Law eyes AI chips as China reduces Nvidia reliance Kong Konnect now available in Singapore AWS is quietly building one of Southeast Asia’s most ambitious green data centre footprints China launches offshore wind-powered underwater AI data centre Has Huawei just rewritten the rules of chip design? OpenAI Daybreak and the patching cycle AirTrunk to invest MYR12 billion in Johor data centres China orders Meta to unwind Manus AI acquisition Kong reveals ‘agent-to-agent communication’ critical for Asian enterprises Huawei picked Malaysia for its biggest AI move outside China. Anwar told you exactly why. 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Andy Jassy says the hard part is keeping up with demand Minor Hotels builds data and AI platform with Google Cloud The MATCH Act would cut off China’s last chipmaking lifeline–Asia is already feeling it Amperity expands to Australian AWS Regions and invests in local talent Chinese memory giants are scaling fast, and the AI boom is giving them cover Intel joins Musk’s Terafab AI chip project with Tesla and SpaceX TikTok’s second data centre in Finland a European push Custom AI chips, 3.5 gigawatts, and a quiet SEC clause: the Broadcom deal explained Kong names Bruce Felt as chief financial officer DeepSeek V4 points to growing use of Huawei chips in AI models Microsoft to invest $10 billion in Japan for AI and cybersecurity Which CRMs offer the most powerful reporting tools?
China beats US in TOP500 ranking with world’s fastest supercomputer
Muhammad Zulhusni · 2026-06-24 · via TechWire Asia
  • China’s LineShine supercomputer topped the June 2026 TOP500 ranking.
  • Experts said the result does not prove AI leadership.

China’s LineShine supercomputer has taken first place in the June 2026 TOP500 ranking, marking China’s return to the list after a three-year absence from submissions.

The system is housed at the National Supercomputing Centre in Shenzhen and uses domestically designed chips, according to details published with the ranking. The submission marks China’s return to the list after it stopped submitting systems during a period of tighter US controls on advanced chips and computing technologies.

LineShine displaced El Capitan, the US system at Lawrence Livermore National Laboratory, which had previously held the top position. El Capitan is used by the US government to develop and maintain its nuclear weapons stockpile.

China returns to TOP500

TOP500 said LineShine reached 2.198 exaflops on the HPL benchmark, making it the new No. 1 system on the list. El Capitan ranked second with 1.809 exaflops.

LineShine’s debut raised the number of publicly listed systems sustaining more than one exaflop on HPL from four to five. The five listed exascale systems are LineShine, El Capitan, Frontier, Aurora, and Germany’s JUPITER Booster. The ranking still reflects only systems submitted for measurement.

The ranking gives China the leading position on the TOP500 list, but experts cited by Reuters said the result does not establish LineShine as the world’s fastest system for artificial intelligence work.

Benchmark limits

The TOP500 list ranks supercomputers using benchmark tests associated with traditional high-performance computing. Its main HPL benchmark measures how fast a system solves dense systems of linear equations, and TOP500 notes that no single benchmark reflects a system’s overall performance.

On HPL-MxP, a mixed-precision benchmark relevant to AI and accelerator-heavy workloads, LineShine ranked fourth at 7.92 exaflops. LineShine also ranked first on the HPCG benchmark, with 22.00 petaflops.

Reuters cited technology and policy experts who said LineShine’s TOP500 position should be separated from its performance on AI-related workloads.

System design

TOP500 said LineShine’s HPL-MxP result was consistent with a CPU-only design without dedicated low-precision accelerators. Many AI-focused systems rely heavily on GPUs or other accelerators.

LineShine is built on China’s custom LingKun platform, 304-core LX2 processors, LingQi interconnect, and Kylin OS. TOP500 said the system uses 13.79 million cores across LX2 processors running at 1.55 GHz.

The system draws about 42.2 megawatts of power and delivers an efficiency of 52.07 gigaflops per watt.

Private AI systems

Cloud providers have built large systems for AI training and deployment. Microsoft, Amazon, and Google operate AI-focused computing systems, but most cloud companies do not submit their systems to the TOP500 process.

Since many private AI systems are not submitted, the TOP500 list does not provide a complete ranking of the largest AI computing systems in operation.

A 2025 Epoch AI study found that companies accounted for about 80% of AI supercomputer performance in its dataset, up from about 40% in 2019. The same study estimated that the US accounted for about 75% of AI supercomputer performance in the dataset, while China accounted for 15%.

Epoch AI also found that AI supercomputer performance doubled every nine months between 2019 and 2025, while hardware acquisition costs and power requirements doubled annually.

Epoch AI cited xAI’s Colossus as an example of private AI infrastructure, saying the system used 200,000 AI chips. The study also identified Colossus as the most performant AI supercomputer in its dataset as of March 2025.

Jimmy Goodrich, a senior fellow at the University of California’s Institute for Global Conflict and Cooperation, told Reuters that LineShine would not rank among the top five if major hyperscalers submitted their systems.

Export controls

China first reached the top of the TOP500 list in 2010 and later traded the lead with the US and Japan. The country stopped submitting systems after a series of US export controls targeting chips and computing technologies under the first Trump administration and later under President Joe Biden.

Addison Snell, CEO of Intersect360 Research, told Reuters that the notable point was not LineShine’s performance, but China’s decision to submit the system for ranking. He said the move suggests Beijing wanted external recognition for its domestic chip design work.

The system’s disclosed specifications do not show the use of advanced AI chips. Reuters reported that this is likely because the tools required to manufacture those chips remain subject to US export controls.

The US Bureau of Industry and Security said its December 2024 rules targeted China’s ability to produce advanced semiconductors and advanced AI capabilities, including through controls on semiconductor manufacturing equipment and certain software and technology.

Goodrich said China appeared to be using the ranking to challenge perceptions about the effectiveness of export controls. He said the system’s technical details pointed to limits in its AI capabilities.

Quantum computing orders

The ranking was released the same week US President Donald Trump signed executive orders on quantum computing. The orders included measures aimed at strengthening US work on quantum computing and related technologies.

The National Supercomputing Centre in Shenzhen did not immediately respond to Reuters’ request for comment.

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