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NVIDIA’s RTX Spark superchip, pairing a Blackwell GPU with up to 6,144 cores, a 20-core Arm CPU and up to 128GB of unified memory, is driving a new wave of thin-and-light AI-capable laptops. OEMs including Microsoft, ASUS and others unveiled flagship systems—most notably Microsoft’s Surface Laptop Ultra and ASUS ProArt P-series—promising about 1 petaflop of FP4 AI performance, native CUDA support, and the ability to run very large local models. Deep platform integration with Windows (workload scheduling, thermal frameworks, DirectX/TensorRT ties) aims to enable on-device agents, creative workflows, neural rendering and gaming in portable, repairable designs shipping later this year.
RTX Spark brings near-petaflop AI throughput and native CUDA to thin, power-efficient PCs, enabling local model development and real-time AI features. Tech professionals must plan for new hardware capabilities, software tooling, and performance profiles in client devices.
Dossier last updated: 2026-06-01 07:45:23
Nvidia unveiled the RTX Spark PC processor—an Nvidia-SoC pairing that combines a MediaTek 20-core Grace CPU with an Nvidia Blackwell RTX GPU (6,144 CUDA cores) and claims 1 petaFLOP AI performance; first laptops debut this fall, including a Surface Laptop Ultra. SoftBank surpassed Toyota to become Japan’s most valuable company after AI-driven gains and a $65B cumulative OpenAI investment. Chinese auto OEMs dominated May sales: BYD led with 383,453 units, SAIC and Chery followed, with BYD’s overseas monthly sales topping 160,000. Other highlights: Doubao plans paid content in late June, Huawei launched nova 16 and MatePad Pro Max, Apple teases WWDC26, and safety concerns persist around assisted-driving misuse.
Microsoft will release the Surface Laptop Ultra later this year as a high-end RTX Spark-powered Windows laptop aimed at creators, developers, and AI builders, offering up to 128GB of unified memory. Built around Nvidia’s Arm-based RTX Spark chip (up to 20 Arm CPU cores and 6,144 Blackwell GPU cores), the Laptop Ultra targets MacBook Pro buyers with a conventional clamshell design, a 15-inch PixelSense display up to 2,000 nits, a large haptic trackpad, and a full complement of ports including USB-A, USB-C, HDMI, SD slot, and headphone jack. The RTX Spark’s unified memory model could give GPU-accelerated workloads more usable RAM than discrete laptop GPUs, while Windows-on-Arm translation and developer support aim to improve gaming and app compatibility.
Microsoft announced the Surface Laptop Ultra, a high-end Arm-based Windows notebook built around Nvidia’s RTX Spark that targets creators, developers, and AI builders with up to 128GB of unified memory. The Laptop Ultra follows a more traditional MacBook Pro-style clamshell design rather than Surface’s previous convertible experiments, and offers a 15-inch PixelSense display (up to 2,000 nits), a large haptic trackpad, USB-A, USB-C, HDMI, SD slot, and headphone jack. RTX Spark couples up to 20 Arm CPU cores with up to 6,144 Blackwell GPU cores and enables much larger GPU-accessible unified memory pools versus discrete GeForce parts, improving AI workflows. Availability is “later this year”; pricing and configurations were not disclosed.
Asus unveiled the ProArt P16 (H7607) and P14 (H7407) laptops at COMPUTEX 2026, positioning them as among the first Windows PCs tailored for personal AI agents. Both models use NVIDIA RTX Spark GPUs based on Blackwell with 6,144 CUDA cores, fifth-gen Tensor Cores (FP4) and NVLink-C2C to a 20-core Grace CPU, claiming up to 1 PFLOPS AI performance and support for 120B-parameter LLMs with 1M-token context. Configurations include up to 128GB unified memory, Lumina Pro OLED displays (P16: 4K/120Hz with G-Sync; P14: 3K/1600 nits), optimized software for creators, tactile trackpads, CNC chassis, optional 99.9Wh battery, and fall availability. The machines target creators needing heavy local AI and 3D workloads, marking a push toward workstation-grade, on-device generative AI.
Microsoft unveiled the Surface Laptop Ultra at Computex 2026, a high-end Windows-on-Arm workstation built in partnership with NVIDIA and aimed squarely at MacBook Pro users. The 15-inch mini-LED PixelSense Ultra touchscreen, up to 128GB unified memory, and a replaceable SSD back a design focused on professional workflows; Microsoft claims the system can run large AI models locally (up to 120B parameters) and delivers about one petaflop of on-device AI compute. Key hardware includes an Arm-based 20-core NVIDIA Grace CPU (co-developed with MediaTek) and an NVIDIA Blackwell RTX GPU with up to 6,144 CUDA cores. The laptop emphasizes ports, repairability, and a premium chassis, positioning it as a portable workstation for creators and AI workloads.
Microsoft unveiled the Surface Laptop Ultra at Computex 2026, a Windows-on-Arm workstation developed in partnership with NVIDIA and aimed squarely at MacBook Pro users. The 15-inch mini-LED PixelSense Ultra laptop packs a lightweight chassis, dual-fan cooling, full port selection (HDMI, USB-A/C, SD card, headphone), and up to 128GB unified memory that is dynamically shared between CPU and GPU. It uses a 20-core NVIDIA Grace Arm CPU (co-developed with MediaTek) and a Blackwell RTX GPU offering up to 6,144 CUDA cores, delivering about one petaflop of local AI compute and claimed ability to run 120B-parameter models entirely on-device. Microsoft also emphasized repairability with replaceable SSDs and provided guides and parts. The device signals a major push for high-end Arm workstations in the Windows ecosystem.
Microsoft and NVIDIA unveiled Windows PCs accelerated by NVIDIA RTX Spark at GTC, delivering up to 1 petaflop of AI performance, up to 6,144 Blackwell RTX cores, 20 Arm-based power-efficient CPU cores and up to 128GB unified memory. The partners optimized Windows—introducing workload profile scheduling (WPS), Microsoft Power and Thermal Framework (MPTF) support, DirectX 12 tuning, Windows ML and native TensorRT access—to extract performance and power-efficiency from RTX Spark’s heterogeneous architecture. The collaboration targets creators, developers and gamers, enabling local agent workloads, advanced AI model execution, neural rendering and improved ray tracing on thin-and-light laptops. This deep platform-silicon integration aims to redefine PC capabilities for the personal AI era.
Microsoft and NVIDIA unveiled Windows PCs accelerated by NVIDIA RTX Spark at NVIDIA GTC, positioning them as the most powerful and efficient thin-and-light Windows laptops yet. RTX Spark delivers up to 1 petaflop of AI performance, up to 6,144 Blackwell RTX cores, up to 20 Arm-based power-efficient CPU cores, and up to 128GB unified memory. Microsoft said it optimized Windows with workload profile scheduling and the Microsoft Power and Thermal Framework to maximize performance and efficiency on the heterogeneous architecture, plus DirectX 12 and Windows ML integrations to enable neural rendering, ray tracing, and native TensorRT support. The collaboration aims to fuel local agents, creators, AI developers and gamers with high performance and power efficiency.
Microsoft announced the Surface Laptop Ultra, a high-end 15-inch notebook co-engineered with NVIDIA and optimized for RTX Spark and Windows, aimed at creators, developers and AI builders. It pairs an NVIDIA Blackwell RTX GPU with up to 128 GB of unified memory, full CUDA support and claimed 1 petaflop of AI compute (NVIDIA-sourced theoretical FP4 TOPS with sparsity), enabling local execution of very large models. The laptop emphasizes thermal design, acoustics, repairability, a 2,000-nit mini‑LED PixelSense Ultra display, extensive ports (HDMI, USB-C/A, SD, headphone), large haptic trackpad and all-day battery in pre-release testing. Microsoft positions the device for intensive workloads like 3D rendering, long compiles and multi-model AI workflows; availability is later this year and specs may change.
Microsoft unveiled the Surface Laptop Ultra, a high-end 15-inch laptop engineered with NVIDIA to target creators, developers and AI builders needing desktop-class local compute. The device pairs an NVIDIA Blackwell RTX GPU with up to 128GB of unified memory, full CUDA support, and claims up to 1 petaflop of AI compute—enabling local execution of models up to ~120B parameters. Microsoft highlights a mini-LED 2,000-nit PixelSense Ultra display, large haptic touchpad, broad port selection (HDMI, USB-C, USB-A, SD, headphone), refined thermal and acoustic engineering, and all-day battery life. Positioned as a repairable, performance-first Surface, the Laptop Ultra will ship later this year as a pre-release product with specs subject to change.
NVIDIA announced the RTX Spark superchip, a combined AI and RTX graphics SoC targeting ultra-slim laptops and compact desktops. The chip pairs a Blackwell-based GPU with up to 6,144 cores, an up-to-20-core ultra-efficient CPU, FP4 AI throughput up to 1 petaflop, and up to 128 GB of unified memory, enabling local development and inference, creative workflows, and gaming with features like RT cores, DLSS, Reflex, AV1 encode, and NVIDIA Broadcast. CUDA runs natively, positioning RTX Spark as a platform for personal AI agents, content creation, and high-performance gaming on power-efficient systems from OEMs like ASUS, Dell, HP, Lenovo, Microsoft, and MSI. NVIDIA is collecting sign-ups for availability notifications.
NVIDIA announced the RTX Spark superchip, a combined Blackwell-series GPU and ultra-efficient CPU designed to bring high-end AI, creative workloads, and gaming to thin laptops and small desktops. The chip packs up to 6,144 Blackwell GPU cores, a 20-core CPU, FP4 AI performance up to 1 petaflop, and up to 128 GB unified memory, promising native CUDA support for local model development, accelerated creative apps, and real-time ray tracing with DLSS and Reflex. NVIDIA positions RTX Spark as a platform for on-device agents, local prototyping and inference, and continuous desktop AI services, with OEM partners including ASUS, Dell, HP, Lenovo, Microsoft, and MSI planning systems. Availability is via sign-up; the announcement signals a push to mainstream high-performance, power-efficient AI-capable PCs.