Nvidia aims to "reinvent the PC" with new processors

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Nvidia aims to reinvent the PC

What the new processor will be like

The debut PC processor combines two flagship types of Nvidia chips and 128 GB of unified memory. It is based on an Nvidia Blackwell graphics processing unit and the new Arm-based N1X central processing unit, developed by Taiwan’s MediaTek.

RTX Spark could become a major turning point for the PC market, which is already changing under the influence of the AI boom. Arm-based processors, including Nvidia’s solution, are gradually strengthening their position against traditional x86 chips from Intel and AMD. Meanwhile, according to Huang, the market for central processing units itself could grow to $200 billion.

In February, Nvidia said CPUs were becoming a “bottleneck” amid the growth of agentic AI workloads. In March, the company unveiled a data center rack equipped with Vera processors. While training large models requires enormous volumes of parallel computing, where GPUs are especially strong, accessing data and distributing it to multiple AI agents requires more general-purpose computing, which CPUs provide.

Nvidia’s new PC processor will be manufactured using Taiwan Semiconductor Manufacturing Company’s 3-nanometer process technology, which is currently available only in Taiwan.

The first laptops powered by Nvidia’s new chip will be up to 14 mm thick and will belong to the premium segment. In addition, RTX Spark will appear in compact desktop PCs. In the future, Nvidia plans to expand the lineup to other price points, but at launch the device is aimed at content creators, AI developers and gamers who need thin, lightweight and portable laptops or compact desktops.

The company says it will disclose more detailed performance metrics closer to the fall launch. For now, according to an Nvidia representative, RTX Spark is “roughly comparable” to Nvidia’s leading RTX 5070 laptop GPU.

At Computex, Huang also announced that the Vera data center processor has already entered mass production. According to him, Nvidia is producing millions of these CPUs for a “market that never existed before.” Vera will become available in the fall, with Anthropic, OpenAI, Elon Musk’s xAI, Dell, Oracle and CoreWeave named among the first customers.

Huang said this segment will become a new major growth driver for Nvidia. He stressed that such processors must be not only powerful, but also extremely energy-efficient, so that data centers can deploy as many CPUs as possible without taking power away from the capacity needed for token generation.

What Nvidia did before this

Before entering the segment of central processing units for PCs, Nvidia was primarily associated with graphics processors. For many years, the company developed the market for graphics cards used in gaming computers, professional graphics, 3D modeling, visualization, video processing and other resource-intensive tasks. GPUs became the foundation of its business, helping Nvidia build strong positions among gamers, developers, designers and companies that needed powerful computing for graphics workloads.

Later, those same graphics processors became a key element of AI infrastructure. Thanks to the ability of GPUs to perform many parallel computations, Nvidia became the main supplier of chips for training and running large AI models in data centers. Its accelerators are used by technology companies, cloud providers and AI developers, while the surge in demand for such solutions has transformed Nvidia from a graphics card maker into one of the central players in the global AI industry.

As a reminder, Nvidia shares recently rose amid the expansion of its partnership with Corning.

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