Gotrade News - Nvidia unveiled the RTX Spark superchip line with a new N1X processor for Windows laptops at COMPUTEX Taiwan. CEO Jensen Huang also introduced Cosmos 3, an open AI world model targeting robots and autonomous systems.
The dual launch pushes Nvidia into the Windows PC processor market and the physical AI infrastructure layer. Investors view the move as a direct challenge to Intel, AMD, and Apple silicon in mobile computing.
Key Takeaways
- Nvidia's N1X chip will power Surface laptops and devices from HP, Dell, Lenovo, Asus, Acer, and MSI.
- Cosmos 3 was trained on 20 trillion tokens of multimodal data, including nearly a billion images.
- Nvidia confirmed its Vera Rubin AI platform is in full production, with shipments scheduled for fall.
According to Investing.com, the N1X processor was developed in collaboration with Microsoft and designed by MediaTek on Arm's platform. Huang said the chips are aimed chiefly at running locally hosted artificial intelligence agents on consumer hardware.
The new laptops from Nvidia (NVDA) partners could rival Apple's Macbook line, marking the company's entry into a segment long dominated by Intel. Surface laptops from Microsoft (MSFT) will be among the first devices to feature the new processor.
Direct Challenge To Intel And AMD
The Windows push places Nvidia in head-on competition with Intel (INTC) and AMD in the PC processor market. Analysts see the partnership with Microsoft as a structural shift in the laptop silicon supply chain.
As reported by Investing.com, Huang also introduced a separate chip called Vera designed specifically for running AI agents. The executive claimed Vera could deliver 80% faster agentic task completion compared to existing technology.
Nvidia confirmed that its next-generation Vera Rubin AI platform has entered full production. Per Investing.com, production shipments of the platform are scheduled to begin in the fall of 2026.
Cosmos 3 Targets Physical AI
According to Axios, Cosmos 3 is an open world model designed to help robots, autonomous vehicles, and other physical systems predict real environments. Nvidia trained the model on 400 million real and synthetic videos plus ambient audio, text, and action data.
The action-data layer differentiates Cosmos 3 from a conventional video generator, according to Ming-Yu Liu, VP of Nvidia's Cosmos Lab. Liu told Axios that autonomous actions are key to modeling how machines move, not just how scenes appear.
Developers can use Cosmos 3 to simulate actions in physical environments and build task-specific robot models on top. Per Axios, the model generates robot joint angles, gripper positions, and trajectories to train machines for real-world tasks.
Nvidia is releasing a super model for high-accuracy training of robots and autonomous vehicles. As reported by Axios, a nano model can generate results in fractions of a second, with an edge model coming soon.
The company's broader bet is that the next AI wave will need to predict, simulate, and act in the physical world. Nvidia wants its open models and infrastructure to become the default starting point for developers.
