# Nvidia RTX Spark 'Superchip': The First AI PCs Hit the Market Next-gen computers designed for local AI processing unveiled at IFA 2026. - **Source:** [Wired](https://www.wired.com) - **Published:** 2026-09-03 - **Original article:** - **On Brifing:** https://brifing.si/s/59972658-eabc-4d32-9ee6-c9a462257ce2 ## Nvidia's New Superchip Nvidia unveiled its new processor called RTX Spark 'superchip'. This chip combines Grace CPU and Blackwell RTX GPU into a single system. Featuring a 20-core CPU and 6,144-core GPU, the chip resembles Apple silicon more than traditional Windows laptops. Theoretically, integrated GPU performance sits between RTX 5070 Ti and RTX 5080. Its Arm-based design promises better efficiency and improved battery life. ## Lenovo Yoga 9n 2-in-1 Among the first laptops using RTX Spark chip is Lenovo Yoga 9n 2-in-1. The 16-inch OLED touch display offers 2880x1800 resolution and 120Hz refresh rate. At 0.69 inches thick, it's just 0.03 inches thicker than 16-inch MacBook Pro. Premium features include six-speaker audio system and 9.2MP webcam. Configurable up to 64GB RAM, it's designed for AI-focused users. ## A Compact Alternative: Yoga Pro 9n Lenovo offers a more portable option with 15-inch Yoga Pro 9n. Its 2560x1600 OLED display and 0.66-inch thickness make for a slimmer design. The Force Pad touch surface allows direct writing or drawing with stylus. Configurable up to 128GB RAM, this model stands out as a more powerful option for professionals. ## Other Manufacturers' Models Dell XPS 16, Asus ProArt P16 and Microsoft Surface Laptop Ultra will also use RTX Spark chip. HP OmniBook X 14 remains the only announced 14-inch model. All these devices target content creators and AI enthusiasts. Large-screen, high-performance models are optimized for local AI workloads. ## Mini PC Options Acer and Asus unveiled RTX Spark-powered mini PCs. These Mac Mini-sized devices offer 'petaflop-level AI performance' and configurations up to 128GB RAM. Coming just a week after Apple's M6 Mac mini and M5 Ultra Mac Studio announcements, these devices will play crucial role in local AI adoption. ## AMD Alternative Alongside Nvidia, AMD is entering local AI market. Lenovo introduced ThinkCentre X Ultra with AMD Ryzen Max+ Pro 495 chip. Supporting up to 128GB RAM, this system is also used in devices like Framework Desktop. AMD Developer Kit is already available. ThinkCentre X Ultra's starting price of $3,699 indicates how expensive these systems can get. ## Price Comparison A 128GB RAM MacBook Pro currently sells for $6,139. The most affordable MacBook Pro (M5 Pro with 24GB RAM) starts at $2,349. RTX Spark systems aren't expected to be budget-friendly either. RAM being both expensive and necessary for AI processing drives up costs. High prices might be the biggest barrier to widespread local AI adoption. ## Importance of Local AI Local AI processing reduces cloud dependency and addresses privacy concerns. This proves particularly important when handling sensitive data like financial information or email accounts. RTX Spark-powered devices offer capability to run full AI workflows locally. This technology will expand AI's role in daily life and create new use cases. ## Sources covering this story - https://www.wired.com/story/nvidia-rtx-spark-laptops-first-look/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._