Nvidia soars past $224 after Computex reveals PC chip, new mystery product

Nvidia's stock climbed past $224 on Monday, June 1st, a gain of more than 6 percent in a market that barely moved. The S&P 500 inched forward 0.02 percent that day. The Nasdaq rose 0.1 percent. The entire move belonged to one company, and it belonged to the announcements Jensen Huang made that morning at the Taipei Pop Music Center.

Huang, Nvidia's chief executive, took the stage at Computex 2026 with three concrete products to unveil. The first was the RTX Spark, a superchip designed to bring artificial intelligence directly into personal computers. Developed alongside Microsoft, Huang called it the biggest reinvention of the PC in four decades. Dell, HP, Lenovo, Asus, Acer, and MSI would begin shipping machines built around it before year's end. Adobe was already remaking Photoshop and Premiere Pro to take advantage of the new architecture. The second announcement concerned Vera Rubin, Nvidia's next-generation data center platform, which had entered full production. The system contained seven custom chips, six trillion transistors, more than 18,000 components on a single board, and over 1.3 million components in total. First shipments would begin this year. The third was Vera CPU, an 88-core processor built on TSMC's 3-nanometer process, designed specifically for agentic AI workloads in a market Nvidia estimated at $200 billion. OpenAI, Anthropic, and SpaceX would be among the first customers, along with the major cloud providers.

But Huang did something else that day that sent the market's imagination racing. He mentioned, almost casually, that the second half of 2026 would be very, very busy with Grace Blackwell, Vera Rubin, and a new product he hadn't yet told anyone about. The promise of something unrevealed, combined with news that assembly times for Vera Rubin racks had dropped dramatically, reinforced investor confidence in the company's ability to execute at scale.

Nvidia's rise from a graphics card maker to the infrastructure backbone of the artificial intelligence era happened in less than four years. The company was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem in Sunnyvale, California, to design graphics processing units for video games. For nearly three decades, that remained its identity. Then, in November 2022, ChatGPT launched, and the world suddenly needed massive computing power to train and run large language models. Nvidia had exactly what was needed. Its GPUs, originally designed to render 3D graphics, turned out to be the perfect tool for the parallel mathematical operations that artificial intelligence demanded. The company's annual revenue now exceeds $200 billion. Its stock has made fortunes. Someone who invested $10,000 in Nvidia shares at the beginning of 2019 held nearly a million dollars by mid-2024. Employees with stock options saw their wealth multiply dozens of times over. In the United States, people speak of "Nvidia millionaires"—workers who retired early because their equity packages had become so valuable.

The company does not manufacture its own chips. It designs them and contracts the actual production to specialized foundries like TSMC in Taiwan. Its competitive advantage rests not only on the hardware itself but on CUDA, a software ecosystem Nvidia built over years. CUDA allows developers to write programs optimized for Nvidia's chips. Millions of lines of code, libraries, and tools now exist within it. Switching to a different chip supplier means rewriting enormous volumes of software, a cost few companies are willing to bear. CUDA became one of the most durable moats in technology. In 2025, Nvidia captured 86 percent of the global market for AI accelerators.

The industries orbiting Nvidia's chips span nearly every sector. Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle are its largest customers. The automotive industry and the electric and autonomous vehicle segments depend on Nvidia DRIVE. Healthcare uses its chips to accelerate drug discovery and protein modeling. Finance employs them for fraud detection and quantitative models. Governments in Denmark and Japan built sovereign supercomputers with Nvidia hardware. Universities use them for climate simulations and particle physics. Now, with RTX Spark, Nvidia aims to turn every personal computer into an AI workstation, bringing its ecosystem into the pocket or backpack of millions of users.

Wall Street remains bullish. The average price target among 61 analysts covering the stock, as of May 2026, was $296.81 for the next twelve months—a 32.4 percent gain from Monday's close of $224.23. Targets ranged from $180 to $500. The consensus rating was Strong Buy. DA Davidson maintained its buy recommendation with a $300 target and added the stock to its "Best-of-Breed Bison" list. The central argument of optimists has broadened substantially: Nvidia is no longer just the company that supplies chips for AI data centers. It wants to be present at every layer of the ecosystem, from hyperscale servers to the desktop of a graphic designer. If RTX Spark gains traction, Nvidia could expand into a market of hundreds of millions of PCs and personal devices sold each year. Some projections place the stock between $272 and $453 by 2030, depending on how the business evolves. The most optimistic scenarios suggest a valuation near $20 trillion by the end of the decade. Risks exist, of course: a slowdown in AI spending, custom chips developed by major customers, geopolitical tensions in Asia, or a broader correction in technology stocks could moderate the stock's ascent. A technological breakthrough from a rival could change the equation entirely.