Technologyabout 15 hours ago3 min read

Nvidia is already planning N2X and N3X chips — the goal is the Star Trek computer

TV

Byline

The Verge

Technology Correspondent

Covers technology developments with editorial context for decision-focused readers.

Nvidia is already planning N2X and N3X chips — the goal is the Star Trek computer
Image source: The Verge

Why it matters

At Computex 2026 in Taipei, Nvidia CEO Jensen Huang confirmed at least two additional generations of RTX Spark are already planned.

Key takeaways

  • The Spark has up to 128GB of RAM, which Nvidia says is enough to hold 120-billion-parameter AI agents.
  • Just in case you were wondering, Nvidia’s RTX Spark isn’t supposed to be a one-off.
  • Your vacuum cleaner, you’ll talk to it, go mop that up,” Huang adds.But Huang also imagines that “R2-D2” won’t necessarily need to be within reach.

Just in case you were wondering, Nvidia’s RTX Spark isn’t supposed to be a one-off. The company is not just flirting with becoming the fifth high-profile vendor of consumer laptop chips to see if people bite. At Computex 2026 in Taipei, Nvidia CEO Jensen Huang confirmed at least two additional generations of RTX Spark are already planned. The eventual goal, he said, is to build Star Trek-like computers and and Star Wars-like droids you can order around with your voice.

“I want to talk to my laptop! I want R2-D2!” he told analysts and investors at Computex, revealing that he started working with Microsoft CEO Satya Nadella “about three years ago” to build towards that goal.

“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?” he said. He’s referring to the famous Star Trek IV scene where the Enterprise’s chief engineer, having time-traveled to the past, expects a computer to be intelligent and mistakes the mouse for a microphone:

“In the future this computer’s going to be an AI. Everything’s going to be an AI. Your vacuum cleaner, you’ll talk to it, go mop that up,” Huang adds.

But Huang also imagines that “R2-D2” won’t necessarily need to be within reach. Not unlike when Artoo saves Luke and friends from the Death Star’s garbage compactor, he thinks you’ll be able to phone your computer remotely:

If we’re talking remote control anyway, why would we want to buy a pricey laptop instead of talking to AI in the cloud? He says it’s partly economic:

And partly because your machine is where your private data and tools already exist. Here’s Huang admonishing his friend Dylan Patel (you might remember him from our Vergecast RAM Holiday Spec-tacular):

Again, Nvidia has so far shown almost nothing to prove that the first generation of RTX Spark laptops will deliver anything close to a Star Trek computing experience. That’s up to Microsoft and software partners; what Nvidia is selling is a small but potent pocket of local AI compute. The Spark has up to 128GB of RAM, which Nvidia says is enough to hold 120-billion-parameter AI agents. Is that enough for R2-D2 to figure out how to do what you want?

Either way, they will cost. When Patel posed a question beginning with “These laptops are $3,000 or something on that order of magnitude, the power user is the one who has to buy the first generation of it,” Nvidia’s CEO nodded along while repeatedly saying “yep.”

Still, as we’ve reported, the RTX Spark will scale down from the first “superchip” with 128GB of RAM down to as little as 16GB of RAM, and Nvidia is looking to produce an entire family of them across multiple generations.

“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,” Huang told journalists, according to Tom’s Guide.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

    The VergeVerified

    Curated by Shiv Shakti Mishra

    Sources & Further Reading

    Key references used for verification and additional context.

    Verification

    Grade D1 unique evidence links

    Publisher: The Verge

    Source tier: Tier 2

    Editorial standards: Our process

    Corrections: Report an issue

    Published: Jun 3, 2026

    Read time: 3 min

    Category: Technology