Jensen Huang wants you to have your own R2-D2 from Star Wars, next RTX Spark chips may make it happen

If you have watched Star Wars, you may recall R2-D2, the droid that could do anything from navigating the ship to hacking systems on Luke Skywalker's commands. Now, Nvidia CEO Jensen Huang believes that we may not be too far from having our own R2-D2-like computers with the company's RTX Spark chips.

In Short

• Nvidia CEO Jensen Huang wants you to have your own R2-D2 from Star Wars
• He says RTX Spark chips may make this goal possible
• Huang also referenced Star Trek to explain his vision of AI computers

If you like science fiction, it is likely that you have watched Star Wars. Apart from the lightsabres and battles in space, one thing that may have caught your eye was technology. In particular, droids R2-D2 and C-3PO. R2-D2, for instance, came in a cute cylindrical shape, and could do almost anything Luke Skywalker asked. And if you have ever dreamed of having R2-D2, Nvidia CEO Jensen Huang says that the company’s RTX Spark superchips may just make it possible.

During Computex 2026 in Taipei, Taiwan, Jensen Huang revealed the new ARM-based RTX Spark superchip that was designed to run AI agents locally on Windows PCs. The Nvidia chief insists that the ultimate goal for the RTX Spark processors will be to create personal assistants that are perhaps similar to R2-D2. He said, “I want to talk to my laptop! I want R2-D2!”

Jensen Huang wants your computer to be like R2-D2

Huang detailed his vision of having a personal R2-D2 that is always available at his command, and not just when he can actually access his laptop. He explained, “If I want to talk with my laptop today, I gotta wait until I get back to my room.”

The Nvidia CEO added, “In the future, if I need my laptop to do something, I just text it with WhatsApp. I say ‘R2-D2, there’s this thing with the PowerPoint slide, slide number 17, that image is scaled or titled wrong. It should not say CX9, it should say CX10.’”

Jensen Huang says that this R2-D2 will then be able to make the changes on its own and share the file. He stated, “[Then] R2-D2 opens up PowerPoint, modifies it, puts it in PDF, sends it to me. Can you imagine that? Easy.”

And the sci-fi references did not end there. Another series Huang drew ideas from was Star Trek. The Nvidia chief claimed that he has been working with Microsoft CEO Satya Nadella for three years now, hoping to turn such ideas into reality.

Huang said, “Satya and I, we’re going to walk up to our Windows PC and go ‘Hello, do something.’ It’s like Scotty talking to that mouse. You know what I’m talking about? Star Trek. No?”

The Nvidia chief was referring to the famous Star Trek IV scene where the Enterprise’s chief engineer, who had time-travelled to the past, expects a computer to be intelligent. The chief engineer tries talking to the computer, assuming that the mic was a microphone.

Jensen Huang says running AI assistant on cloud is like renting a TV

Instead of using AI models via the cloud, Jensen Huang said that users will want to run them locally as it would not make sense to rent something they use every day. With the RTX Spark chips designed for this exact purpose.

The Nvidia chief explained, “You don’t want to necessarily run everything in the cloud, because if you can run it locally, it’s free. Why rent a television? You’re going to use that every day. Why rent a washer dryer? You’re going to use that hopefully once a week?... Why rent an assistant computer? You’re going to use it every day.”

While Nvidia has not shown similar capabilities with the RTX Spark superchip yet, Huang has confirmed that the company is working on next-generation chips already. He said, “N2X and N3X are already planned, and N1X is called N1X because it has a smaller version called N1. We’re going to expand our family. We’re going to extend this architecture for a very long time.”

The RTX Spark N1X can offer up to 1 petaflop of AI compute, up to 128GB of LPDDR5X unified memory, 6,144 GPU cores and 20 CPU cores, with lower-end versions going down to 16GB of RAM.

The first laptops with this chip will launch later this year, including the Microsoft Surface Laptop Ultra.

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