NVIDIA Unveils New ARM-Based AI/Graphics Superchip Coming to Windows PCs and Laptops

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"The company best known for powering the AI boom is coming for the PC," reports Axios. Nvidia's CEO unveiled a new ARM-based "N1X processor made alongside Microsoft," reports CNBC, that "will be incorporated into a new RTX Spark superchip, debuting in the fall on a fresh line of Windows PCs from Microsoft, Dell, HP, ASUS, Lenovo and MSI." More details from Engadget: It was only a matter of time before NVIDIA released a powerful system-on-a-chip (SOC) to take on AMD's Ryzen AI Max and Qualcomm's latest Snapdragon X2 chips. At Computex today, NVIDIA unveiled the RTX Spark, a "superchip" meant to give both laptops and small desktops fast AI and graphics performance... The company says it offers 1 petaflop of AI computing power, and that it has 6,144 Blackwell RTX cores and 20 Mediatek Arm CPU cores. NVIDIA claims it's similar to the RTX 5070 laptop GPU but with much lower power draw. RTX Spark also has an NPU that's fast enough to be part of Microsoft's Copilot+ initiative, which requires a 40 TOPS NPU, but NVIDIA says it's mainly touting the tensor cores as part of the chip's Blackwell GPU for AI performance. RTX Spark's GPU can directly draw on the chip's large pool of unified memory, which can span from 16GB to 128GB, and the chip itself can use anywhere from single-digit wattage up to 80W... NVIDIA CEO Jensen Huang positions RTX Spark as a complete reinvention of the PC, eventually turning them more into devices meant for AI agents than manual human input... NVIDIA has been working together with Microsoft for "several years" while designing the RTX Spark, according to NVIDIA representatives... In a blog post provided to media, Microsoft head of Windows and devices, Pavan Davuluri, noted that the company optimized Windows 11's workload profile scheduling for the RTX Spark. "Whether you're checking your email or running an agent locally to debug code, the Windows scheduler on RTX Spark will ensure you get the best performance and efficiency out of your CPU," he wrote.

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