（Singapore, 01.06.2026）Nvidia has unveiled a series of major product announcements that signal its ambition to extend its influence far beyond AI data centers, moving aggressively into personal computers, enterprise workstations, robotics and next-generation AI infrastructure.
Speaking at the Computex technology exhibition in Taipei, Nvidia co-founder and CEO Jensen Huang introduced new products designed to challenge long-established players such as Intel and AMD while strengthening Nvidia’s position at the center of the global AI ecosystem.
The announcements come as Nvidia seeks to maintain its dominance during the next phase of artificial intelligence development, where demand is increasingly shifting from training AI models to running AI-powered applications and services.
Taking on Intel and AMD in PCs and Data Centers
One of the biggest announcements was Nvidia’s entry into the Windows PC processor market with its new RTX Spark Superchip.
The new chip combines a central processing unit (CPU) and graphics processing unit (GPU) into a single platform and will run on Windows for Arm. Developed in collaboration with MediaTek, the chip is expected to appear in premium laptops and desktop computers from major manufacturers including Dell and Lenovo starting this autumn.
The move represents Nvidia’s most serious attempt yet to challenge the dominance of Intel and AMD in personal computers. While Nvidia participated in earlier efforts to enter the PC processor market more than a decade ago, those attempts gained little traction.
This time, however, Nvidia is entering from a position of unprecedented strength. The company has become the dominant supplier of AI chips for data centers, generating quarterly revenues that now rival the annual sales of some of its competitors.
According to Nvidia, the RTX Spark Superchip is designed to deliver high performance while maintaining excellent power efficiency. This will allow manufacturers to create thinner and lighter devices without sacrificing computing power.
The chip features up to 20 CPU cores and a Blackwell-generation graphics processor with 6,144 GPU cores. Both components share memory and communicate through Nvidia’s NVLink technology, a feature traditionally found in AI data centers.
Beyond personal computers, Nvidia also introduced its new Vera CPU, the company’s first standalone data-center processor.
The new product places Nvidia in direct competition with Intel’s Xeon processors, AMD’s EPYC chips and custom processors developed by cloud providers such as Amazon Web Services.
Huang revealed that leading AI companies including OpenAI, Anthropic and SpaceX will be among the first organizations to deploy Vera in their data centers. Full production is expected to begin in the third quarter of this year.
Nvidia claims Vera delivers 1.8 times better performance than traditional x86-based processors in key AI workloads. It marks the first time Nvidia has publicly positioned one of its CPUs as a direct alternative to processors that have long dominated enterprise computing.
“This is going to be our new major growth driver,” Huang said.
Building the Next Generation of AI Infrastructure
Nvidia also announced upgrades to its software platform for managing AI infrastructure.
The company introduced an updated version of its open-source DSX software platform, which helps customers deploy, monitor and manage AI data centers more efficiently. Nvidia says the platform can significantly improve power management, potentially enabling operators to run up to 40% more AI accelerators within the same energy budget.
For enterprise users, Nvidia unveiled the DGX Station for Windows, a high-performance workstation designed for AI development and deployment. The systems will be sold through partners including Dell and are expected to reach the market in the fourth quarter of this year.
According to Nvidia, its latest hardware and software ecosystem is designed to make AI deployment faster, easier and more efficient, whether for cloud providers, enterprises or developers.
Huang also dismissed concerns that artificial intelligence could reduce employment opportunities for software engineers.
“People talk about AI reducing jobs. Complete nonsense,” he said. “It’s causing more software engineers to be hired.”
Robotics Ambitions Grow Amid Export Challenges
In another sign of Nvidia’s expanding ambitions, the company announced a partnership with Chinese robotics company Unitree to accelerate the development of humanoid robots.
According to Nvidia, the collaboration aims to create robots that are ready to use immediately, eliminating the lengthy setup and calibration process that researchers currently face.
The new robots will feature five-fingered hands along with built-in Nvidia chips and software designed to support real-world deployment. Nvidia believes standardizing robot hardware could help speed up innovation across the industry.
The announcements come amid ongoing geopolitical tensions surrounding advanced AI chips.
Separately, the U.S. Department of Commerce issued new guidance aimed at preventing advanced AI processors from reaching overseas subsidiaries of Chinese companies without proper export licenses. The move closes a loophole that some experts believe may have allowed cutting-edge chips to reach Chinese-linked entities operating outside China.
While Nvidia stated that the clarification does not materially change its existing export obligations, the latest action highlights the growing strategic importance of advanced semiconductors in the global AI race.
As Nvidia expands its footprint from AI servers into personal computers, enterprise infrastructure and robotics, the company is strengthening its position at the heart of the AI economy, spanning everything from large-scale data centres to the intelligent devices and machines increasingly used in everyday life and business operations.
