BTC $77,249.92 +0.11%
ETH $2,506.05 -0.61%
BNB $721.23 -0.74%
XRP $1.36 -0.62%
SOL $101.07 -0.32%
TRX $0.3412 +0.44%
DOGE $0.0842 -0.82%
ADA $0.2082 +0.09%
BCH $224.42 -0.58%
LINK $11.44 -0.63%
HYPE $78.40 -1.89%
AAVE $126.38 +0.02%
SUI $0.7188 -0.57%
XLM $0.1796 -0.35%
ZEC $1,093.38 -2.61%
AAPL $330.78 -0.70%
AMZN $254.24 -1.03%
GOOGL $337.07 -1.12%
MSFT $491.88 -0.66%
META $642.51 -0.97%
NVDA $215.60 -1.49%
TSLA $362.46 -1.26%
SNDK $1,565.53 -3.82%
INTC $99.08 -2.92%
SPCX $149.13 -0.70%
MU $938.73 -3.08%
AMD $501.53 -2.86%
BTC $77,249.92 +0.11%
ETH $2,506.05 -0.61%
BNB $721.23 -0.74%
XRP $1.36 -0.62%
SOL $101.07 -0.32%
TRX $0.3412 +0.44%
DOGE $0.0842 -0.82%
ADA $0.2082 +0.09%
BCH $224.42 -0.58%
LINK $11.44 -0.63%
HYPE $78.40 -1.89%
AAVE $126.38 +0.02%
SUI $0.7188 -0.57%
XLM $0.1796 -0.35%
ZEC $1,093.38 -2.61%
AAPL $330.78 -0.70%
AMZN $254.24 -1.03%
GOOGL $337.07 -1.12%
MSFT $491.88 -0.66%
META $642.51 -0.97%
NVDA $215.60 -1.49%
TSLA $362.46 -1.26%
SNDK $1,565.53 -3.82%
INTC $99.08 -2.92%
SPCX $149.13 -0.70%
MU $938.73 -3.08%
AMD $501.53 -2.86%

china

All
Article
Flash

The Ministry of Industry and Information Technology of China plans for intelligent computing power to reach 9800 EFLOPS by 2030

The Ministry of Industry and Information Technology of China released the "14th Five-Year Plan for the Development of the Information and Communication Industry," setting the national intelligent computing power target at 9800 EFLOPS by 2030. According to data from the National Bureau of Statistics, as of the end of July, the national intelligent computing scale was approximately 2450 EFLOPS (FP16), indicating that it needs to expand by about 4 times in the next four years based on this standard.The plan proposes an orderly deployment of intelligent computing clusters with tens of thousands and hundreds of thousands of cards, building inference computing power for different scenarios, and increasing the adaptation of domestic computing power chips. Currently, 52 intelligent computing facilities with more than ten thousand cards have been established nationwide. The Ministry of Industry and Information Technology disclosed that the intelligent computing power scale at the end of June was 2185 EFLOPS, a year-on-year increase of 177%. The plan uses 1590 EFLOPS in 2025 as a benchmark, aiming to reach 9800 EFLOPS by 2030, which is an expansion of about 6.2 times. During the same period, the cumulative investment target for information infrastructure in the information and communication industry is 3.8 trillion yuan, which also includes communication networks and is not all allocated for AI computing power.

first_img Analysis: China's storage is divided among CXMT, YMTC, and XMC

Researcher Schulz_Research stated that China's storage advancement is no longer a story of a single company, but rather a division of labor among three companies: CXMT is responsible for DRAM wafers, YMTC is responsible for NAND and has added DRAM in its latest factory, and the foundry controlled by YMTC, XMC, is responsible for stacking products from both. This division corresponds to the rules set by Beijing since late December last year, which state that new factory approvals must show that at least half of the equipment is domestically sourced, with exemptions only granted when there are no domestic options available. YMTC's Wuhan Phase III is the first advanced storage project to pass this rule and is set to begin production later this year.CXMT operates three 300mm DRAM factories, each producing about 100,000 wafers per month; models indicate it will reach 350,000 wafers by the end of 2026, and if all announced projects are completed, the total will exceed 600,000 wafers. YMTC's first two factories in Wuhan have a combined capacity of 200,000 wafers, with Phase III expected to reach 50,000 wafers by 2027 and full production of 100,000 wafers, along with plans to build two more factories of similar scale. XMC has two 12-inch factories, each with about 30,000 wafers, and an HBM packaging line producing about 3,000 wafers per month. China supplies about 10% of the global DRAM bits, with YMTC accounting for 14% of NAND bit shipments in the second quarter, and China consumes about 30% of global storage.CXMT has begun mass production of DDR5 and LPDDR5 and plans to start mass production of HBM3 this year, having already sent samples to domestic AI hardware developers. XMC has spent two years building HBM packaging based on hybrid bonding and YMTC's stacking IP, and is still advancing TSV technology.

first_img ASUS and GIGABYTE have raised the prices of graphics cards in mainland China, with increases of up to 500 yuan

ASUS and Gigabyte, among other graphics card manufacturers, plan to raise product prices in the mainland Chinese market again in September, by up to 500 yuan (approximately 2,300 New Taiwan dollars). The price increase effect will also boost the performance of ASUS, Gigabyte, MSI, Leadtek, and Chengqi.According to reports from mainland Chinese media IT Home, ASUS will raise the net cost price of the NVIDIA RTX 5070 series by 150 to 300 yuan in September, while prices for other series models will remain unchanged. Gigabyte will increase the price of all models in the NVIDIA RTX 5060TI 16G series by 200 yuan in September, while other models will remain the same. AMD's RX 9070 XT series will increase by 200 yuan; the RX 9060 XT 16G/8G series will increase by 200 to 250 yuan; and the RX 7650 GRE series will increase by 400 yuan.The main reason for the price increase is the shortage of memory, and production capacity has also shifted towards manufacturing AI computing power GPUs. NVIDIA has again lowered the overall shipment volume of consumer GPUs by 15% to 20% for the third quarter, and the estimated supply for various brands in September is similar to that in August, with supply still tight. The high-end models such as the NVIDIA RTX 5080 and 5070 TI remain among the most out-of-stock models. This year, NVIDIA has raised graphics card prices multiple times, and September marks another increase.

first_img Delphi Digital: China's AI Laboratory is Transforming Intelligent Economics

Research institution Delphi Digital stated that hardware limitations are driving Chinese laboratories to shift towards cheaper models and more efficient technology stacks. Export control restrictions limit their access to advanced chips, while domestic accelerators can handle inference, but cutting-edge training remains difficult to achieve. Chinese laboratories are innovating in system efficiency, model architecture, training data, and reinforcement learning. DeepSeek has found a way to avoid GPU idle data movement, and ByteDance and Moonshot are set to release similar versions within months.In terms of architecture, training is shifting to cheaper digital formats that are compatible with domestic chips. Sparse architectures reduce the runtime per token, and the attention mechanism has been redesigned three times to control the memory costs of long context. In terms of data, denser prediction targets and better optimizers enhance the learning signal per token. In reinforcement learning, DeepSeek's GRPO has become the default recipe, with ByteDance, Alibaba, and MiniMax each launching successor plans within a year. Chinese models are now among the lowest-cost cutting-edge adjacent systems.On OpenRouter, the proportion of token consumption by Chinese developed models is expected to rise from less than 1.2% at the end of 2024 to the majority by 2026. The Chinese AI market is experiencing a price war from 2024 to early 2026, with several laboratories implying revenue multiples of about 47-117 times, while Anthropic and OpenAI are around 15-21 times. Huawei's Ascend chips are currently available for inference, and DeepSeek reportedly attempted to train R2 on Ascend but returned to NVIDIA after encountering technical issues. Domestic accelerator supply remains below estimated demand.

first_img The real robot revolution in China has nothing to do with humanoid robots

According to data from the International Federation of Robotics, Chinese companies installed 295,000 new industrial robots in China in 2024, accounting for 54% of the global total. Two years ago, China had over 2 million industrial robots in operation, approximately 4.5 times that of the second-place Japan. According to data from the Ministry of Industry and Information Technology of China, the revenue of China's robotics industry exceeded 300 billion yuan (4.4 billion USD) last year, with an average annual growth rate of over 20% over five years. Industrial robot exports are expected to grow by 49% in 2025, making China a net exporter of industrial robots for the first time.Chinese manufacturers now hold the majority share of the domestic industrial robot market, which was previously dominated by Fanuc, ABB, Yaskawa, and KUKA before 2024. BYD's Xi'an factory operates thousands of automated robotic arms for electric vehicle assembly lines, with key components being nearly fully autonomous. The Yangshan Port in Shanghai has built the world's largest automated terminal, almost entirely operated by automated guided vehicles and remotely controlled gantry cranes, with minimal human intervention. Regulatory authorities in Guangdong Province recently approved 48 "robot +" deployment scenarios covering manufacturing, logistics, and service sectors. The quadruped and humanoid robot company Yushu Technology went public last month, with its first-day trading valuation exceeding 1,200 times its past earnings.

first_img The core ARR of China's open-source large models is approximately 6-8 billion USD

Robonomics author FD published the China Open-Source LLM Tracker on September 1, 2026, stating that the total ARR of China's open-source large models is approximately $10-15 billion, with core LLM revenue around $6-8 billion after excluding ByteDance / Seedance. Growth has not relied on price wars; after DeepSeek raised prices by about 3-12 times, usage still increased, and the average price of the Zhipu API rose by 101% while token usage exceeded 40 times within the year. The best estimate for overseas revenue is approximately $2 billion.Zhipu MaaS ARR increased from about $250 million in March to an annualized monthly rate of about $1.6 billion in August, with a weekly annualized rate of $2 billion. August revenue has already surpassed its API revenue for the first half of the year; the API gross margin is 24.6%, and inference costs per token decreased by 80%. MiniMax ARR rose from about $100 million in December 2025 to over $800 million in annualized weekly revenue by August 2026, with B2B accounting for about 80%. Kimi ARR increased from about $100 million in March to about $300 million by mid-June. DeepSeek's revenue from January to July was approximately $70 million, with the latest ARR estimated at about $1.2 billion.ByteDance's annualized AI revenue is approximately $4 billion, of which Seedance accounts for about $2 billion.

hot_img UBS: It will be difficult for China to develop EUV lithography equipment comparable to ASML's top-tier products within the next ten years; mass production of DUV may take two to five years

According to Bloomberg, UBS analysts expect that China's semiconductor manufacturing capabilities may struggle to make sufficient progress in the next decade to develop solutions that can truly replace ASML's cutting-edge EUV lithography technology. UBS analysts wrote in their report, "The stage they are currently at seems comparable to ASML's in 2004." Based on patent application activities, especially in the fields of light sources and laser subsystems, China's current technological maturity is roughly equivalent to ASML's level 15 years before it began mass production of EUV equipment.UBS also expects that China is likely to have the capability for mass production of immersion DUV lithography machines within the next two to five years. Although immersion DUV is not as advanced as EUV, it remains an indispensable tool in chip manufacturing. ASML's immersion DUV machines are priced at nearly $90 million, while EUV equipment costs over $200 million each. China is one of ASML's largest markets, but due to export restrictions, ASML is prohibited from selling EUV equipment to China. UBS pointed out that considering the yield and capacity gaps and regulatory restrictions, Chinese lithography equipment is unlikely to be applied overseas. An ASML spokesperson did not respond to requests for comment. The report is based on UBS analysts' predictive views, and actual progress will depend on industry dynamics.

Shanghai police in China have arrested a gang engaged in cross-border illegal operations of virtual currency through a self-built platform, involving 200 million yuan

The Public Security Bureau of Hongkou District, Shanghai, China, recently solved a case involving cross-border illegal settlement and illegal foreign exchange trading using virtual currency, arresting 9 criminal suspects and involving an amount of over 200 million yuan. The suspects, including a person named Li, established a technology company at the beginning of 2024 to seek illegal profits, building two platforms online: "Cross-Border Fund Exchange" and "Virtual Credit Card Issuance and Settlement." They solicited customers both online and offline, illegally conducting exchange and settlement services for virtual currency and cross-border funds, profiting through transaction fees, service fees, card issuance fees, withdrawal fees, and other means.Investigators stated, "The uniqueness of this case lies in the fact that the criminals developed two apps and publicly solicited customers on such a large scale, which has never been seen before. The platforms built in this case are themselves a closed-loop illegal financial service system, with all transactions settled internally on the platform. This mode of crime has a higher degree of scale, a longer chain, and is more deceptive." Reports indicate that on the "Cross-Border Fund Exchange" platform, the criminal gang collected customers' virtual currency overseas and exchanged it for foreign currency, forming a "fund pool," and then realized cross-border settlement through fabricated contracts, achieving the exchange and transfer of virtual currency to RMB. On the "Virtual Credit Card Issuance and Settlement" platform, the criminal gang "cooperated" with several overseas private banks to issue virtual credit cards to customers, who could use the card for consumption, but the repayment process had to be settled in virtual currency; the gang exchanged virtual currency for foreign currency overseas, relying on false cross-border settlements to complete clearing with overseas card merchants.
app_icon
ChainCatcher Building the Web3 world with innovations.