Nvidia plans N2X and N3X chips, aiming for a Star Trek-level computer

▼ Summary
– Nvidia CEO Jensen Huang confirmed at Computex 2026 that at least two additional generations of RTX Spark are planned, not just a one-off product.
– The long-term goal is to create AI-powered computers that can be controlled conversationally, like Star Trek computers or R2-D2 from Star Wars.
– Huang argued for local AI processing over cloud-based AI for cost reasons, comparing renting cloud AI to renting a television or refrigerator.
– He also stated that local laptops are preferable for AI control because they already contain private data and tools, unlike cloud services.
– The RTX Spark family will scale down from 128GB to 16GB of RAM, with future generations N2X and N3X already planned for expansion.
If you thought Nvidia’s RTX Spark was just a fleeting experiment, think again. At Computex 2026 in Taipei, CEO Jensen Huang made it clear that the company is fully committed to becoming the fifth major player in the consumer laptop chip market, with at least two more generations already in the pipeline. The ultimate vision? Nothing less than building Star Trek-level computers and Star Wars-style droids you can command with your voice.
“I want to talk to my laptop! I want R2-D2!” Huang declared to analysts and investors, revealing that he began collaborating with Microsoft CEO Satya Nadella roughly three years ago to make this a reality. He painted a vivid picture of the future: walking up to a Windows PC and simply saying, “Hello, do something.” For Huang, this is the natural evolution of computing, inspired by a classic scene from Star Trek IV where Chief Engineer Scott expects a computer to be intelligent and ends up talking to a mouse.
“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 added, extending the concept far beyond laptops.
But the vision doesn’t stop at voice commands. Huang imagines a world where your personal AI assistant is never out of reach, even when you’re away from your desk. Need to fix a PowerPoint slide while at a keynote? Just send a WhatsApp message to your laptop. “R2-D2 opens up PowerPoint, modifies it, puts it in PDF, sends it to me. Can you imagine that? Easy,” he said, referencing the droid’s famous rescue in the Death Star’s garbage compactor.
Why invest in a pricey laptop when cloud-based AI can do the job remotely? Huang argues it’s a matter of economics and privacy. Running AI locally is essentially free after the initial purchase, unlike renting cloud services for everyday tasks. “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 a refrigerator? You’re going to use it every day. Why rent an assistant computer? You’re going to use it every day,” he reasoned.
Beyond cost, local AI keeps your private data and tools secure. Huang dismissed the idea of relying on cloud services like Claude to control his machine. “What, am I going to call Claude to control my laptop? Are you insane? It doesn’t make any sense! I want to talk to my laptop! I want R2-D2! I want you to do a few things for me when I’m gone,” he said, emphasizing that all the necessary files and tools already reside on the device.
Of course, the first generation of RTX Spark laptops has yet to prove it can deliver anything close to this sci-fi experience. That responsibility falls on Microsoft and software partners; Nvidia’s role is to provide the hardware muscle. The Spark packs up to 128GB of RAM, enough to run 120-billion-parameter AI agents. Whether that’s sufficient for an R2-D2-like assistant remains to be seen.
One thing is certain: this technology won’t come cheap. When analyst Dylan Patel suggested that “these laptops are $3,000 or something on that order of magnitude,” Huang nodded in agreement, repeatedly saying “yep.” Power users will likely be the first to adopt the initial generation.
Still, Nvidia is planning for the long haul. As we’ve reported, the RTX Spark family will scale down from the flagship “superchip” with 128GB of RAM to versions as lean as 16GB. And the roadmap extends well beyond the first release. “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. The journey to a truly intelligent, conversational computer may be just beginning.
(Source: The Verge)




