GE Vernova Q2 Revenue Tops Estimates as Earnings Miss, Shares Slide Despite Higher 2026 Outlook 
Nvidia Reveals 9.3% Stake in AI Cloud Firm Nebius Following $2 Billion Investment 
US Investigates Moonshot Over Alleged Use of Advanced AI Chips and IP Theft 
KPMG Australia Appoints John Sams as CEO Following Audit Leak Scandal 
Super Micro Computer Stock Jumps 20% After Record AI Orders and Margin Surge 
Rubio Rejects AI ‘Kill Switch’ Claims as U.S. Defends American Technology Abroad 
TSMC Sees Multi-Year AI Chip Demand as Arizona Expansion Reaches $265 Billion 
ASML Trillion-Dollar Valuation: Can Europe’s AI Chip Giant Reach the Historic Milestone? 
Macquarie Names Greg Ward as CEO, Signaling Stability and Strategic Continuity 
Samsung Cuts U.S. Consumer Electronics Jobs as Headquarters Moves to Texas 
Belimo H1 Sales Surge as AI Data Center Cooling Drives More Than Half of Growth 
Elon Musk Fuels SpaceX-Tesla Merger Speculation After Earnings Call 
Morgan Stanley Downgrades Adobe, Workday as AI Transition Raises Growth Concerns 
SpaceX Q2 Earnings on Aug. 4 Set Stage for Historic Insider Share Unlock 
Cathay Pacific Sees H1 Profit Surge on Strong Travel Demand 
Chalco Shares Jump as Chinalco Plans Up to $300 Million Stake Increase 
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.
