Nvidia saw its stock price close at US$201.03 per share overnight, setting a new historical record with a trading volume of US$58.8 billion. In after-hours trading, the stock rose another 1.5% to US$203.95, propelling the AI chip giant's market capitalization above US$4.9 trillion for the first time. This surge was driven by the company's multiple new partnership agreements and a highly positive market response to CEO Jensen Huang's keynote speech at the Washington GTC conference.
In recent developments, Nvidia has partnered with pharmaceutical company Eli Lilly to jointly build the most powerful supercomputer in the medical field, aimed at accelerating the drug discovery process. Huang also unveiled the new NVQLink interconnection system, which enables efficient integration between quantum processors and AI supercomputers. He described NVQLink as the "Rosetta Stone" connecting quantum and classical supercomputers.
Additionally, Nvidia will collaborate with the U.S. Department of Energy to construct seven new artificial intelligence supercomputers. The company also plans to invest US$1 billion in a partnership with Nokia to advance AI initiatives. Upon completion of the deal, Nvidia will hold a 2.9% stake in the telecommunications company.
Furthermore, Huang dismissed speculation about an AI bubble, stating that the company's latest chips are expected to generate US$500 billion in revenue over the next five quarters. At the Washington GTC conference, he highlighted that the Blackwell processor and the next-generation Rubin model are driving unprecedented sales growth. The event showcased Nvidia's collaborations with companies such as Uber, Palantir, and CrowdStrike to integrate AI into various products.
Nvidia also introduced a new system that connects quantum computers with AI chips. "We have reached a tipping point in a virtuous cycle," Huang remarked. "This is truly extraordinary." His speech emphasized the transformative moment in the AI industry, arguing that AI models have become powerful enough to justify customer spending, thereby validating the investment in expensive computational infrastructure.
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