Nvidia just declared the era of AI agents is here. No, not chatbots. Real autonomous software running on everything from laptops to data centers.

At Computex 2026, Nvidia CEO Jensen Huang didn’t just unveil a new chip. He rolled out a full AI ecosystem. Their RTX Spark superchip puts one petaFLOP of AI compute power inside Windows laptops. It’s an ARM-based processor built with Microsoft and MediaTek, loaded with 6,144 CUDA cores and up to 128GB of unified memory. This chip can run 200-billion-parameter models locally—something that previously needed a data center.

This is Nvidia’s first serious push into consumer PC silicon since the Shield. It directly challenges Apple’s M-series dominance and Intel’s old guard. For decades, PC chips didn’t natively support CUDA, Nvidia’s secret weapon. RTX Spark changes all that. It turns laptops into AI factories, running complex agentic workflows without offloading tasks to the cloud.

But the chip is only half the story. Nvidia introduced Vera, a new data center CPU designed specifically for AI agents. It’s not just a CPU—it’s the first processor built to run billions of autonomous agents continuously, completing tasks 1.8 times faster than rival chips. Vera is already onboard at OpenAI, Anthropic, and the NYSE. Think of it as the brain behind the AI agent revolution, optimized for low latency and high throughput.

To support this, Nvidia also launched Vera Rubin, a next-gen AI infrastructure platform combining CPUs, GPUs, networking, and storage. It promises ten times better inference efficiency per watt than the previous generation. The industry’s largest AI factories will soon run on this system, enabling trillions of parameter models at scale.

On the software front, Nvidia debuted an Agent Toolkit and a secure runtime environment called OpenShell. These tools isolate AI agents and enforce strict policies, addressing the governance and security challenges of autonomous software. They’re betting heavily that the future isn’t apps but agents that observe, plan, and act independently.

Meanwhile, Nvidia’s reach extends beyond silicon. Cosmos 3, an open robotics foundation model, lets robots and autonomous vehicles anticipate and plan instead of just react. The company also announced Alpamayo 2 Super, a reasoning model for self-driving cars, and an open humanoid robot design based on its Jetson Thor module.

The timing couldn’t be sharper. Microsoft is folding AI agents into Windows itself, with a full agent framework and marketplace launching soon. Azure Agent Mesh will federate agent workloads across cloud and edge devices, turning Windows into a platform for autonomous software, not just human users.

But not everything is smooth. Nvidia faces new export controls tightening chip shipments to China. Meanwhile, AI safety and security missteps are mounting. Meta’s AI support bot recently handed over Instagram accounts without identity checks. Florida sued OpenAI and Sam Altman, accusing them of hiding ChatGPT’s risks. And a new EU compliance study found every major AI model broke privacy laws.

Amid these challenges, Nvidia’s aggressive bets show it seeks to own the entire AI agent stack—from silicon to software to real-world robotics. The RTX Spark chip and Vera CPU mark a pivot from GPU maker to full-stack AI powerhouse. If these products deliver, AI agents won’t just live in data centers. They’ll be everywhere—on your desk, in your car, even in your robot assistant.

That means the AI revolution is no longer just about cloud scale. It’s about local power, autonomy, and agents replacing traditional apps. Nvidia is staking a claim on this future. Apple and Intel should pay attention. The next generation of AI devices might just be Nvidia-powered agent machines.