Step Into the Next Era of Windows PCs
MediaTek and NVIDIA have delivered the NVIDIA RTX Spark, a new class of processors powering Windows PCs for the age of personal agents. It’s designed to build the future, unlock creative power, and run the latest games in slim laptops and small, ultra-efficient desktops.
The joint effort fuses MediaTek’s foundational expertise in high-performance CPUs, advanced connectivity, and power efficiency with NVIDIA’s full-stack AI platform and suite of NVIDIA RTX technologies. The result is a reimagined PC category designed to deliver advanced agentic AI performance, content creation, and gaming within a thin and efficient package.
It’s time to reimagine the personal computer
With years of joint experience working to enable intelligent cockpits on the road and scaling massive AI data center workloads, MediaTek and NVIDIA are leveraging our technological expertise to revolutionize computing with a new chip designed for Windows PCs.
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Ultra-Efficient CPU
Providing the raw, general-purpose compute required for responsiveness and application speed. MediaTek's power-efficient SoC design enables tight integration of critical subsystems into a small area.
Highly Integrated System
Leveraging its strategic manufacturing partnership with TSMC, MediaTek fine-tuned every IP block. This integration allows NVIDIA RTX Spark to achieve peak performance while maintaining an ultra-low power profile.
High-Bandwidth Memory Interface
MediaTek designed a proprietary memory controller to support up to 128GB of ultra-high speed unified memory, providing the massive bandwidth required for high-performance edge AI applications.
Intelligent Power Management
Utilizing its industry-leading PMIC technologies, MediaTek developed a best-in-class power delivery system that can drastically reduce overall power consumption, extending battery life even under heavy workloads.
Low Latency Wireless Connectivity
MediaTek fully integrated its leading-edge silicon to guarantee seamless, lag-free connectivity. This enables "Cloud-to-Edge" workloads, ensuring local AI agents like NVIDIA NemoClaw stay synchronized with cloud resources.
