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Nvidia Launches Cheaper Blackwell AI Chip for China Market

George Cranston profile image
by George Cranston
Nvidia Launches Cheaper Blackwell AI Chip for China Market

Reuters reports that Nvidia will launch a new artificial intelligence chipset for China at a lower price than its recently restricted H20 model. The company plans to start mass production as early as June 2025. The GPU will be part of Nvidia's latest generation Blackwell-architecture AI processors and is expected to cost between $6,500 and $8,000, well below the $10,000-$12,000 range of the H20. Sources familiar with the matter said the lower price reflects weaker specifications and simpler manufacturing requirements.

Nvidia's market share in China has dropped from 95% before 2022 to 50% currently, CEO Jensen Huang told reporters in Taipei. The H20 ban forced Nvidia to write off $5.5 billion in inventory. Huang estimated the company also walked away from $15 billion in sales.

Market Position and Competition Dynamics

Nvidia continues to dominate China's AI chip market despite the restrictions. Merics analysis shows Nvidia sold one million H20 chips in 2024, while Huawei only sold 200,000 units of its competing Ascend 910B chips. Huawei plans to increase output to 300,000 in 2025 while commencing fabrication of newer 910C chips, targeting 100,000 pieces annually.

The Chinese company faces production challenges. TrendForce reports Huawei's Ascend 910C chip yield improved from 20% to 40% in 2025, but this remains below the 70% required for commercial viability. TSMC was forced to halt production of Ascend chips in 2020 due to US sanctions.

The global AI chip market demonstrates massive growth potential. Next MSC research shows the market was valued at $52.92 billion in 2024 and projects growth at 33.2% CAGR to reach $295.56 billion by 2030. China represents a significant portion of this expansion.

Export control policies have created mixed effects on the semiconductor industry. CSIS analysis indicates US semiconductor firms spent nearly $50 billion on capital in 2022 alone, requiring maximized sales to recoup investments. The potential lost revenue from Chinese market restrictions undermines economies of scale that the industry depends on.

Industry observers note both positive and negative implications. Supporters argue export controls protect national security interests and technological advantages. Critics point to the Federal Reserve Bank of New York findings that show export controls can cause negative stock returns, reduced bank lending, and employment declines for affected companies.

Broader Industry Implications

The semiconductor export control regime represents a fundamental shift in global tech trade relationships. American Affairs Journal reports China announced a $47.5 billion investment fund in May 2024 to bolster domestic semiconductor capacity, representing the third round of state-led investment in the last decade.

US controls target critical supply chain chokepoints where America holds advantages. Foreign Policy Research Institute research shows the United States and allies control over 90% of global semiconductor equipment manufacturing, creating dependency for China on foreign sources.

The long-term effectiveness faces questions as technological advancement continues. Industry experts predict computing power gains from Moore's Law will plateau by 2025, pushing the sector toward alternative approaches like memory-centric computing and system-level optimizations. This shift may provide China opportunities to develop high-performance chips that sidestep current restrictions.

Both nations face potential consequences from escalating technology separation. The semiconductor industry's global nature means higher tariffs and export controls could create more complex supply chains, affecting research and development funding that characterizes the industry. Companies must balance innovation imperatives with compliance requirements in an evolving regulatory landscape that may redefine competitive dynamics for years ahead.

For readers interested in understanding how alternative financial systems are reshaping traditional economic structures globally, the Alternative Financial Systems Index provides comprehensive data on emerging payment networks, blockchain currencies, and decentralized finance platforms. This analysis examines transaction volumes, user adoption rates, and efficiency metrics across eight categories of alternative systems, from community banking to Islamic finance. The research identifies four key factors that correlate with alternative system effectiveness: transaction costs below 0.5% of traditional finance, access within minutes rather than days, balanced trust mechanisms, and strong network effects. These findings offer valuable context for understanding how technological disruptions in semiconductors parallel broader transformations in global financial infrastructure.

George Cranston profile image
by George Cranston

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