The United States has approved several major Chinese technology companies to purchase advanced Nvidia H200 AI chips under a tightly controlled licensing system, a move that could reshape global AI hardware flows and create ripple effects across the cryptocurrency sector. The approved buyers include Alibaba, Tencent, ByteDance, and JD.com, alongside distributors like Lenovo and Foxconn. The decision drove Nvidia shares up nearly 3% overnight and pushed the stock to a new 52-week high of $227.84 on Thursday, extending a six-day winning streak ahead of the company’s May 20 earnings report.
Bank of America raised its price target on Nvidia to $320 from $300, with analyst Vivek Arya citing a larger long-term AI data center market. Wall Street expects Nvidia to report Q1 fiscal 2027 revenue of $78.62 billion, a 78% year‑over‑year increase, and earnings per share of $1.74. Citi separately estimated that revenue could beat consensus by around $1.4 billion. Nvidia’s market cap has crossed $5.5 trillion despite generating no revenue from China under prior export controls.
The H200 chip, built on Nvidia’s Hopper architecture, packs 141GB of HBM3e memory and is optimized for training large AI models. Each GPU is priced between $30,000 and $40,000, with rental rates ranging from $3.72 to $10.60 per hour. Under the new licensing terms, Chinese buyers must adhere to strict restrictions, including no military use, hardware routing through U.S. territory, and a reported 25% revenue share tied to U.S. agreements.
Despite the approval, no shipments have occurred because Beijing is urging companies to prioritize domestic AI hardware such as Huawei’s chips. This political dynamic means the potential revenue for Nvidia—estimated at up to $20 billion—remains frozen for now. Still, the policy shift reopens a market that previously accounted for about 13% of Nvidia’s revenue and where the company once controlled roughly 95% of China’s advanced AI accelerator segment.
For crypto markets, the development carries a dual edge. A surge in demand for H200 chips could tighten global GPU supply, raising costs for decentralized AI networks and GPU‑based blockchain projects that rely on affordable compute. Projects tied to distributed computing, AI agents, and zero‑knowledge systems may face higher hardware expenses or longer wait times. On the other hand, Bitcoin miners that have been diversifying into AI and high‑performance computing hosting could benefit long term if global AI demand continues to rise, though smaller AI‑hosting crypto firms may see margin pressure. The chips are not designed for traditional crypto mining, so the direct impact on mining rigs is minimal, but the broader AI‑crypto convergence could accelerate development in areas like decentralized inference and automation.
