Introducing a powerful new chapter for Windows PCs, accelerated by NVIDIA RTX Spark

Today at NVIDIA GTC, Microsoft and NVIDIA announced the world’s most powerful and efficient thin-and-light Windows PCs ever. Accelerated by NVIDIA RTX Spark, these new PCs unlock incredible momentum for developers, creators and power users, and are purpose-built for the new wave of agents.

This marks a key milestone in the rich, multi‑year, full‑stack collaboration between Microsoft and NVIDIA spanning gaming, AI and cloud – from DirectX and RTX to NVIDIA‑accelerated AI workloads on Azure – driving end-to-end innovation for our shared customers. These next-generation Windows PCs represent the next step on that journey.

Builders and creators today are reimagining how things get done, and they need reimagined hardware, silicon and platform capabilities to support them. They need PCs capable of running graphically intensive tasks efficiently, highly capable AI models, and a platform that simply and securely runs agents locally. It’s the combination of Windows’ platform and ecosystem leadership, with NVIDIA’s silicon innovation and industry-leading graphics and AI leadership, that has resulted in a collection of powerhouse laptops that will redefine how developers and creators interact with their PCs.

“NVIDIA and Microsoft share a vision that agents are the future of personal computing,” said Jeff Fisher, senior vice president of personal computing at NVIDIA. “RTX Spark combines NVIDIA’s full technology stack with Microsoft Windows and is purpose-built for creators, gamers and AI developers in the personal AI era.”

Taking Windows to the next level on RTX Spark

RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, with up to 6144 Blackwell RTX cores, up to 20 power-efficient cores built with the Arm architecture and up to 128GB of unified memory.

Paired with Windows, it unlocks the capabilities creators and developers need to run advanced workloads, build with the tools they depend on and even play their favorite games. Bringing Windows to RTX Spark enables you to do the work that matters on silicon that delivers the performance you demand.

Great silicon deserves deep platform work. We optimized Windows to bring out the full performance of RTX Spark.

Performance and power management

To get the most out of Windows on RTX Spark’s powerful, heterogeneous architecture, we implemented workload profile scheduling (WPS) and optimized it for RTX Spark, enabling the Windows scheduler to more efficiently scale workloads across all 20 cores. 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.

We also worked with NVIDIA to enable the Microsoft Power and Thermal Framework (MPTF) on RTX Spark, to maximize performance and power on the go. MPTF standardizes one of the most complex parts of a modern PC and will enable RTX Spark based PCs to deliver industry-leading power efficiency while staying cool under intense workloads.

Beyond its industry-leading performance per watt for creative, AI and gaming workloads, RTX Spark is positioned to take advantage of our advancements to DirectX 12, including support for neural rendering and optimized ray tracing performance, and has been tuned to maximize the performance of its Blackwell GPU, making it one of the best places to play on Windows. In addition, Microsoft and NVIDIA have worked to unlock the power of the GPU for local AI workloads through Windows ML, enabling AI developers to leverage TensorRT natively in Windows.

Unified memory optimizations

To realize the potential of up to 128GB of unified memory on RTX Spark, we have focused on improving how Windows supports unified memory systems, starting with a new higher, smarter limit on total system memory accessible by the GPU. This updated limit increases the memory available to the GPU on high-memory systems, unlocking the ability to load larger local AI models or render more complex projects.

Memory intensive workloads across powerful creator apps, AI workloads and games put a variety of demands on the system and require a versatile memory system to achieve peak performance.  In addition to increasing the memory available to the GPU, we are also enhancing how Windows manages page sizes in shared memory regions on unified memory systems.  These changes ensure that larger memory pages are available for greater performance on heavier workloads, while giving developers the flexibility to optimize for the needs of their memory workloads between CPU and GPU.

Prism emulation enhancements

Prism, our emulator for running 32-bit and 64-bit x86 apps on Windows on Arm, will also be present and optimized for RTX Spark powered PCs.  Prism ensures apps run well on these devices even if those apps haven’t been built for the Arm architecture. We have continued to enhance the Prism emulator with additional performance and compatibility features, building on the Prism optimizations delivered last year that added support for the AVX/AVX2 instruction set extensions. Prism has been tuned for the microarchitecture of RTX Spark and when combined with the raw power of the silicon, unlocks great performance for developers, creators and gaming workloads running under emulation.

Windows quality investments

This year, we’ve been laser focused on raising the bar on performance, reliability and craft across Windows 11. As the Windows foundation strengthens, we are also pushing forward on this next era of Windows computing and delivering meaningful improvements to system performance that will benefit all Windows 11 PCs including these new PCs powered by RTX Spark. This includes changes like more fluid and responsive app interactions by moving many core Windows experiences to the WinUI3 framework and elevating the Windows Subsystem for Linux (WSL) experience, along with baseline reliability improvements across the operating system and more control and personalization, including alternate taskbar positions. These quality-focused updates will continue to roll out throughout the year.

Delivering a better platform for agents with Windows on RTX Spark

This week at Microsoft Build, you will see how we are optimizing the Windows platform for building and running agents securely with OS-enforced identity, containment and manageability. With a powerful GPU and up to 128 GB of unified memory, RTX Spark will be great hardware to build and run agentic workloads locally, with security and containment features designed to help protect users.

NVIDIA is bringing NVIDIA OpenShell to Windows, built on new Windows security and containment primitives. Hermes Agent and OpenClaw will be integrating OpenShell and these new Windows primitives inside of their Windows application. This enables customers to run agents and integrate them into developer and creative workflows, with the performance headroom to reason over large contexts without round-tripping to the cloud.

Control is a fundamental principle for AI on Windows. You choose when and how agents act on your behalf, with controls to help provide visibility into what they can access.

Enabling the Windows ecosystem for RTX Spark

From the app developers optimizing their software for this architecture, to our OEM partners building these new powerful PCs, the Windows ecosystem has come together to ensure RTX Spark delivers a complete, performant experience from day one.

App ecosystem growth

Silicon and OS optimization matters, but what you can actually run on the device is what customers experience. We have partnered across the ecosystem to ensure these new PCs powered by RTX Spark will launch with broad application support.

Over the last two years, Microsoft and NVIDIA have worked with a breadth of app developers to make significant advancements to optimize the apps people want and rely on for Arm-based devices. As a result, PC users on RTX Spark will immediately benefit from an expansive ecosystem of native and performant apps.

For creatives, top tools like Blender, DaVinci Resolve, Maxon Cinema4D, Maxon Redshift, Topaz Photo, CapCut, Cubase, Bitwig Studio, Affinity by Canva and more all run natively on Arm today, as do the audio, video, MIDI and control peripherals they require. Adobe’s flagship applications including Photoshop and Premiere are likewise native, and have partnered with NVIDIA and Microsoft on additional optimizations for the RTX Spark. Apps for technical creators are also optimizing for this platform, including MATLAB, one of the most popular, which now officially supports Windows on Arm. Across apps, RTX SPARK can unlock new capabilities and speed for workflows like video compositing, rendering complex 3D geometries, or using the latest AI-driven tools for content analysis and transformation.

Game developers have also laid a strong foundation for RTX Spark’s arrival. Today, native anti-cheat solutions from partners like Epic’s Easy Anti-Cheat and BattlEye, expanded Prism emulator compatibility, and XBOX PC app support means players will have access to a deep catalog of Windows PC games. RTX Spark will bring even higher levels of gaming performance to AAA titles on Arm. Riot Games, one of the world’s leading game developers and publishers, has announced that League of Legends and VALORANT are coming to the platform. PUBG: Battlegrounds, the iconic battle royale title from KRAFTON, will also be joining the expansive catalog of compatible titles including Pragmata, Alan Wake 2, Naraka: Bladepoint, War Thunder and more.

Top agentic and AI developer workloads like GitHub Copilot, Claude Code, ComfyUI, Cursor and more now run across all modern PC silicon – making Windows the ideal platform for AI-assisted development, or for leveraging the power of the GPU to train, optimize and evaluate models. For developers, our partnership with NVIDIA on RTX Spark plans to bring additional exciting technologies like CUDA-accelerated PyTorch, Ilama.cpp, TensorRT, Hugging Face frameworks, Unsloth, Kohya and more.

PC ecosystem adoption

Windows and RTX Spark bring to life the most powerful and efficient thin-and-light PCs with all-day battery life¹, optimized for developers and creators who need to trust that they can power through advanced workflows, in a portable package. These PCs will join the Copilot+ PC category, with powerful NPUs for local AI processing in addition to the GPU, unlocking rich AI-powered experiences.

Beginning this Fall, RTX Spark will power a full range of Windows laptops and small form factor desktop PCs, starting with Microsoft Surface, ASUS, Dell, HP, Lenovo and MSI.

Introducing Surface Laptop Ultra

Surface Laptop Ultra. Built for world makers and creative pros, Surface Laptop Ultra brings cutting-edge AI performance into a thin, precision-engineered laptop designed for sustained high performance. From rendering to compiling to local AI workflows, this is uncompromising craft meets raw power – a new kind of performance for the people who create what’s next. To learn more, visit the Devices blog by Brett Ostrum, Corporate Vice President, Surface.

We are also proud to support the announcements of our PC partners:

• ASUS: The ASUS ProArt P16 and ASUS ProArt P14 combine powerful AI performance with slim and lightweight designs built for creators on the go. Available in 16-inch and 14-inch models with elegant Nano Black and new Neo White color options, the laptops feature ASUS Lumina Pro OLED displays and exceptional all-day battery life for premium creative experiences anywhere.
• Dell Technologies: The XPS 16 Creator Edition delivers serious GPU power built for creative work with smoother playback on 4K timelines, faster exports and a more seamless experience with AI tools. The Tandem OLED display with True Black HDR 600 ensures your visuals look exactly as intended. Add in a built-in SD card reader and HDMI port, and you’ve got a machine that’s as capable in the field as it is back at your desk.
• HP Inc.: The HP OmniBook Ultra 16and HP OmniBook X 14 laptops are built for creators, gamers and AI developers, providing powerful local AI performance and experiences that help users accelerate workflows.
• Lenovo: The Lenovo Yoga Pro 9n marries Lenovo Yoga’s creator-focused features with NVIDIA’s newest chip to deliver a laptop that is portable, powerful and can last for extended periods away from an outlet.
• MSI: The Prestige N16 Flip AI+ combines a premium thin-and-light 2-in-1 design, a 16-inch UHD+ Tandem OLED display, NVIDIA AI acceleration and a 99.9Wh battery. It delivers immersive visuals, advanced AI experiences, and exceptional mobility for creators, professionals and gamers.

We can’t wait for developers and creators to experience what’s possible when stunning graphics, incredible performance and cutting-edge AI come together in these powerful, portable PCs.

Scaling the power of Windows to NVIDIA DGX Station

Today’s announcement is an important step in a multi‑year journey to unleash the full power of Windows to NVIDIA silicon, from powerful laptops to data center class workstations. Together with NVIDIA, we’re scaling Windows from RTX Spark through to DGX Station for Windows, up to a trillion-parameter AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, later this year. This unlocks breakthrough AI performance on Windows, the platform enterprises trust for manageability, security and compatibility, with seamless access to the Linux AI ecosystem through Windows Subsystem for Linux (WSL).

With NVIDIA GB300‑class capability on Windows, we are making a step‑function leap in performance, fundamentally changing where advanced AI work can happen – enabling developers and organizations to run frontier‑class models and agentic workloads locally that were previously primarily available in the cloud or data centers. Pairing the GB300 Superchip with an additional NVIDIA RTX PRO™ Blackwell Workstation GPU enables developers to combine frontier AI compute with ray-traced visualization and simulation in a single deskside system — delivering the performance needed for agents to perceive, simulate and interact with the physical world.

By bringing AI on‑device, organizations can keep data close and shape how it’s used to meet their own compliance and data boundary requirements, complementing cloud workloads. This shift opens new possibilities, lowers the barrier to experimentation, and makes unmetered, always‑available AI compute a native part of Windows workflows.

We are building toward a future where Windows provides a unified foundation for AI, from the device in your hands to the infrastructure behind it. Stay tuned over the next couple of days. We look forward to sharing more on our vision of Windows for developers at Microsoft Build.

^{1 Based on internal testing of pre‑release units. Battery life varies significantly based on usage, settings and other factors.}