NVIDIA and MediaTek have introduced the RTX Spark processor for Windows laptops. The new lineup marks a major expansion beyond graphics chips and intensifies competition with Intel and AMD in the rapidly growing AI PC market.
The platform is designed for AI workloads, content creation, and gaming in slim laptops and compact desktops. The reimagined PC will deliver advanced agentic AI performance, support content creation and gaming, and fit within a thin, efficient package.
NVIDIA is aiming at Intel and AMD with the debut of its RTX Spark superchip for Windows laptops. The processor includes a Blackwell GPU and Grace CPU, which will power laptops from manufacturers including ASUS, Dell, HP, and Microsoft when it lands this fall. The RTX Spark will also be featured in small desktops.
“With RTX Spark, MediaTek and NVIDIA bring unprecedented local AI supercomputing directly to consumer PCs. This launch underscores years of joint technology efforts between MediaTek and NVIDIA to deliver pioneering technology to the marketplace,” said Vince Hu, Corporate Senior Vice President at MediaTek.
It is designed for AI users, content creators, and gamers. According to the company, the RTX Spark will pack upward of 128GB of memory, which is a massive amount for any laptop.
| Component | Role / Feature |
|---|---|
| High-Performance Engine (CPU & Cache) | Delivers raw computing power for system stability and faster application performance |
| System Integration | Optimizes all IP blocks for maximum performance and ultra-low power consumption through TSMC manufacturing and MediaTek engineering |
| Memory Architecture (Memory Controller) | Supports up to 128GB of high-speed unified memory through a proprietary memory controller |
| Intelligent Power Management | Uses advanced PMIC technologies to reduce power consumption and improve battery life under heavy workloads |
| Connectivity | Provides ultra-low latency wireless connectivity for gaming, creators, and developers |
| Cloud-to-Edge AI Support | Enables seamless synchronization between local AI agents and cloud resources for hybrid AI workloads |
As RTX Spark uses an Arm-based Grace processor, NVIDIA has been working with Microsoft and software developers to ensure their programs can run on the chip since a majority of software in the world has been built to run on x86 chips from Intel and AMD.
Qualcomm’s Arm-based processors already power Windows laptops and can run the vast majority of apps with ease while providing impressive battery life. It’s taken years to get developers to either create ARM versions of their apps or build emulators that can translate x86-based programs to run on ARM chips.
The laptops will support their various graphics technologies, including DLSS, which uses AI to improve game performance. While NVIDIA didn’t provide any benchmarks or comparisons to existing laptops, it did say that the RTX Spark’s Blackwell GPU is in roughly the same class as its RTX 5070 laptop GPU.
Also Read: Microsoft Surface Laptop Ultra Debuts with Nvidia RTX Spark Superchip at Computex 2026
Most laptops generally pack 16GB of memory, though higher-end systems, like a top-of-the-line MacBook Pro. To get that configuration, users will have to spend at least $5,099.
NVIDIA hasn’t announced pricing for laptops running its new chip, but it did note that the first systems will target the premium market. However, it will also offer less powerful versions of the RTX Spark with less memory for use in lower-priced notebooks.
CPUs have become an increasingly important part of AI data centers, given the growing use of AI agents. AI agents are semiautonomous and fully autonomous digital helpers that perform tasks on your behalf. While GPUs are still necessary for training and running AI models, the actions AI agents take, such as arranging files or browsing the web for you, are powered by CPUs.