Nvidia RTX Spark: Everything You Need to Know Before Our First Tests

After months of waiting, Nvidia’s RTX Spark has officially landed. We’ve been waiting since the first announcements at Computex, eagerly waiting to see how Nvidia would reshape the laptop field with its “Grace Blackwell” architecture, pumping up the humble Windows laptop with workstation-grade power for AI, packaged into lightweight Windows laptops that can pick up and go. (At least, that’s the promise.)

The first wave of RTX Spark laptops are expensive machines, to be sure, but RTX Spark is a major shift for engineers and AI enthusiasts. This is far more than a modest CPU or NPU refresh. By combining Arm processing, powerful Blackwell RTX graphics, and up to 128GB of coherent unified memory into a single architecture, Nvidia and Microsoft are giving users the power for local AI, and challenging the dominant cloud providers of current AI tools. It’s a new hardware platform, a new category of laptop, and the first of many Windows machines built with agentic AI in mind.

With this hardware, Nvidia and Microsoft are aggressively redefining mobile computing and setting the stage for the next decade of personal technology. I spent a couple of days in San Francisco with Microsoft and Nvidia to get the lowdown on Spark and Windows. So let’s dig into the details of the new platform, the silicon that makes it tick, and the implications RTX Spark has for users and the laptops of tomorrow.