Nvidia has made a definitive move away from the Chinese market for its H200 AI processors, ceasing production and reallocating all manufacturing capacity to its next-generation Vera Rubin platform. This strategic pivot comes despite recent U.S. export licenses, as Chinese authorities continue to block imports. The decision underscores the widening technological divide and solidifies Nvidia’s reliance on Western hyperscale cloud providers.
Manufacturing Realignment Follows Regulatory Deadlock
According to a Financial Times report, Nvidia has instructed its contract manufacturer, TSMC, to transition production lines from the H200 to the forthcoming Vera Rubin chips. This shift occurred even though Washington granted limited approval for H200 shipments to China several weeks ago; no sales revenue has been generated from these permissions.
During the latest earnings call, CFO Colette Kress clarified the situation: “While the U.S. government has approved small volumes of H200 for customers in China, we have not recorded any revenue—and we do not know if imports into China will ultimately be permitted.”
Beijing effectively blocked the imports despite U.S. clearance. Chinese regulators reportedly considered a rule that would have tied H200 purchases to mandatory procurement of domestic chips, a measure designed to shield local semiconductor producers. In January, officials advised several technology firms to temporarily pause H200 orders.
Vera Rubin Platform Enters Full Production
The Vera Rubin platform, unveiled at CES 2026 in January, is already in full production at TSMC using a 3-nanometer process. It delivers approximately 50 petaflops of inference performance—a fivefold increase over the preceding Blackwell generation.
In contrast, the H200 is built on an older 4nm process and the Hopper architecture, placing it two full generations behind the current standard. While it remains the most powerful chip Nvidia could legally sell to China, dedicating production capacity to a product with no confirmed sales became untenable. This is especially true as a significantly more valuable platform with firm orders ramps up.
Under existing export controls, the Vera Rubin is unavailable to Chinese buyers. Its performance exceeds that of any chip currently allowable for the Chinese market by a factor of 22. With each new generation, the gap between the technology accessible to China’s AI industry and the tools available to the rest of the world grows larger.
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Western Hyperscalers Drive Demand
With Chinese sales sidelined for the foreseeable future, Nvidia’s order book from Western hyperscalers remains robust. Microsoft is deploying Vera Rubin NVL72 rack systems in its next-generation data centers. CoreWeave, AWS, and Google Cloud have scheduled deployments for the second half of 2026. Combined capital expenditure from the top five cloud providers is approaching the $700 billion mark for 2026, and Nvidia is securing a substantial portion of this spending.
For the first quarter of fiscal year 2027, Nvidia forecasts revenue of approximately $78 billion. This outlook does not include any data center revenue from China.
Record Financials Provide a Strong Foundation
This manufacturing transition is supported by exceptional financial results. For the fourth quarter of fiscal year 2026, ended January 25, 2026, Nvidia reported revenue of $68.1 billion—a 73% year-over-year increase. Full-year revenue for 2026 reached $215.9 billion, up 65%.
The data center segment contributed $193.7 billion, compared to $15 billion in fiscal 2023. Gross margins stood at 71%, with an operating margin of 60.6%. Net income for the year was $120.1 billion. During the past fiscal year, the company repurchased $40.1 billion worth of its own shares.
Upcoming GTC 2026 Conference as Potential Catalyst
The four-day GTC conference is scheduled for March 16-19 in San Jose. CEO Jensen Huang’s keynote on March 16 is anticipated as the main event, with investors and developers expecting updates on AI chips, systems, and software stacks. The event will feature over 1,000 sessions covering topics like AI data centers, robotics, digital twins, and physical AI.
The conference may inject fresh momentum into the stock, which has declined roughly 3.4% since the start of the year. Concerns about the sustainability of high AI investments and elevated valuations have tempered appetite for AI equities, despite rising profits and persistent strong demand. Currently, 38 analysts rate the stock a buy, one recommends holding, and one advises selling. The average price target is $271.11.
On April 1, Nvidia will pay a quarterly cash dividend of $0.01 per share to all shareholders of record on March 11.
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