Nvidia just did something it has never done before: build a complete chip for personal computers. The company that became the most valuable in the world by selling AI hardware to data centers is now coming for your laptop.
CEO Jensen Huang unveiled the RTX Spark on June 1 at the GTC event held during Computex in Taipei. The Arm-based system-on-chip combines a custom Grace CPU with a Blackwell-architecture GPU, and it’s designed specifically for Windows laptops and compact desktops. Units are expected to ship in fall 2026.
What’s actually inside the RTX Spark
The RTX Spark packs a 20-core Arm CPU, a Blackwell GPU with 6,144 CUDA cores, and 128GB of unified LPDDR5X memory. Nvidia claims the chip delivers approximately 1 petaflop of AI compute. In English: that’s enough horsepower to run large AI models with up to 120 billion parameters and a context window of one million tokens, all without pinging a cloud server.
Nvidia developed the chip in partnership with Microsoft, with a focus on enabling AI agents to run securely and directly on the device. The pitch is straightforward: keep your data local, skip the latency of cloud round-trips, and still get performance that rivals what you’d find in a server rack.
A crowded battlefield gets another combatant
Apple has been building its own Arm-based chips for Macs since 2020 with the M-series. Qualcomm launched its Snapdragon X Elite processors to bring Arm computing to Windows laptops. Intel and AMD, meanwhile, have been adding neural processing units to their latest consumer silicon.
No competing consumer chip currently approaches 1 petaflop of AI compute or 128GB of unified memory.
The manufacturing partnerships tell the story of how seriously Nvidia is taking this. Dell, HP, Lenovo, Asus, MSI, Acer, Gigabyte, and Microsoft Surface are all listed as device partners.
What this means for investors
Pricing is a big one. A chip with 128GB of unified memory and a Blackwell GPU is not going to be cheap. Early adoption may skew heavily toward premium workstation users, creative professionals, and AI developers rather than mainstream consumers.
There’s also the software ecosystem question. Arm-based Windows PCs have historically struggled with app compatibility, a problem that plagued Qualcomm’s early Snapdragon efforts. Microsoft’s partnership with Nvidia suggests both companies are working to smooth that transition, but real-world performance across thousands of legacy Windows applications remains an open question until devices actually reach customers.