SpaceX Edges Toward Landmark IPO as Elon Musk Confirms Plans 
US Charges Two Men in Alleged Nvidia Chip Smuggling Scheme to China 
Trump Criticizes EU’s €120 Million Fine on Elon Musk’s X Platform 
Australia Enforces World-First Social Media Age Limit as Global Regulation Looms 
SoftBank Shares Slide as Oracle’s AI Spending Plans Fuel Market Jitters 
Air Transat Reaches Tentative Agreement With Pilots, Avoids Strike and Restores Normal Operations 
Mizuho Raises Broadcom Price Target to $450 on Surging AI Chip Demand 
Coca-Cola’s Costa Coffee Sale Faces Uncertainty as Talks With TDR Capital Hit Snag 
Apple App Store Injunction Largely Upheld as Appeals Court Rules on Epic Games Case 
EU Court Cuts Intel Antitrust Fine to €237 Million Amid Long-Running AMD Dispute 
Trello Outage Disrupts Users as Access Issues Hit Atlassian’s Work Management Platform 
Adobe Strengthens AI Strategy Ahead of Q4 Earnings, Says Stifel 
SpaceX Insider Share Sale Values Company Near $800 Billion Amid IPO Speculation 
Samsung SDI Secures Major LFP Battery Supply Deal in the U.S. 
Australia’s Under-16 Social Media Ban Sparks Global Debate and Early Challenges 
SK Hynix Considers U.S. ADR Listing to Boost Shareholder Value Amid Rising AI Chip Demand 
Taiwan Opposition Criticizes Plan to Block Chinese App Rednote Over Security Concerns 
China’s AI sector faces a dilemma between relying on NVIDIA’s powerful chips or transitioning to domestic alternatives. A new report highlights the limitations of China’s AI hardware and suggests sticking with NVIDIA for optimal performance amid increasing US sanctions.
NVIDIA’s Dominance in China’s AI Market
The future of China's artificial intelligence (AI) processing capacity is a hotly contested topic, with many pointing out that the country's AI companies can no longer depend on hardware from companies like NVIDIA due to the increasing impact of US sanctions.
While Huawei's domestic solutions have helped alleviate some of the problems, a recent study from the China Academy of Information and Communications Technology (CAICT) argues that Chinese data centers shouldn't rely solely on domestic products because of their limitations.
Domestic AI Solutions Face Limitations
A report on China's growing computing power released on Sunday by the China Academy of Information and Communications Technology (via SCMP) said, "If the conditions allow, [data centres] can choose [Nvidia’s] A100 and H100 high-performance computing units, if the need for computing power is limited, they can also choose H20 or alternative domestic solutions."
NVIDIA’s Continued Success in China Despite Sanctions
According to WCCFTECH, NVIDIA has found success in China, a market hit hard by US trade restrictions; the country accounts for over 10% of the company's year-over-year revenue.
Team Green's hardware is crucial for Chinese AI companies like ByteDance and Tencent. Their enormous consumer base means they need a lot of AI computing capacity. An indication of China's enormous demand for AI hardware, CAICT revealed that GPU-based processing power for AI training and inference experienced a YoY rise of 70% in the region.
Chinese AI Chipmakers Struggle Against NVIDIA
Companies such as BirenTech and Huawei have introduced their own artificial intelligence chips to compete with NVIDIA's market dominance; Huawei's Ascend 910B AI GPU has been particularly successful in driving sales for the Chinese tech giant.
According to rumors, the company will also unveil the more powerful Ascend 910C. However, the CAICT thinks it's not worth the hassle to adapt existing LLMs developed on NVIDIA's compute stack and implement domestic solutions for code porting.
