- NVIDIA RTX Spark powers the world’s first Windows PCs purpose-built for personal agents
- NVIDIA and Microsoft collaborate to deliver a secure, native Windows experience for personal agents
- RTX Spark-powered slim Windows laptops, premium displays, and compact desktop PCs available later this year
- RTX Spark uplevels performance for gamers, creators and AI developers
- Adobe is rearchitecting Photoshop and Premiere from the ground up for RTX Spark
It is now the age of personal AI, said NVIDIA at the launch of NVIDIA RTX Spark, a new superchip that reinvents Windows PCs for the era of personal AI agents. The 1-petaflop chip has a full CUDA and RTX ecosystem, and supports Windows-native agents.
Designed for AI, creating and gaming, RTX Spark brings together 30 years of NVIDIA innovation — including NVIDIA CUDA, NVIDIA RTX, DLSS, FP4, NVIDIA TensorRT, NVIDIA OptiX, Reflex and G-SYNC — to slim Windows laptops with all-day battery life, and small, ultraefficient desktop PCs.
“The PC is being reinvented,” said Jensen Huang, founder and CEO of NVIDIA.
“For forty years, you launched apps. Click. Type. With RTX Spark and Microsoft Windows, you ask — and the PC does the work. RTX Spark brings everything NVIDIA has built — CUDA, RTX, our AI platform — into a single superchip. Local agents. Frontier models. Creative workflows. RTX games. All on a laptop. This is the new PC. The personal AI computer.”
The RTX Spark superchip features an NVIDIA Blackwell RTX GPU with 6,144 CUDA cores and fifth-generation Tensor Cores with FP4 precision, connected via the NVIDIA NVLink-C2C chip-to-chip interconnect to a high-performance, 20-core NVIDIA Grace CPU. MediaTek, an Arm-based system-on-a-chip designer, collaborated with NVIDIA on the custom CPU design, contributing to its best-in-class power efficiency, performance and connectivity.
According to NVIDIA, AI agents have reached an inflection point, with open source projects such as OpenClaw and Hermes Agent achieving record-breaking numbers on developer networks like GitHub and OpenRouter. However, broad adoption has been limited by the inability to run agents securely and privately on users’ primary PCs.
NVIDIA and Microsoft are partnering to address this challenge by delivering a robust, secure Windows platform for on-device agents. The collaboration begins with a new Windows security primitives and the NVIDIA OpenShell runtime as a foundation. These are designed to ensure agents run safely and under full user control.
The new Windows primitives deliver identity, containment, policy and end-to-end security capabilities to build and run agents natively. NVIDIA OpenShell, on the other hand, provides additional policy capabilities for the user to define what agents can and cannot do, the ability to intelligently route queries to local models based on the user’s privacy policies, and the ability to disguise personal information in queries sent to cloud models.
This security and privacy layer has been adopted by agent developers including Hermes Agent and OpenClaw in their new Windows apps. These new apps will make it easy and secure for users to access powerful on-device agents that can execute tasks in Windows applications, reason through cross-app workflows, generate images and video, code plug-ins and apps, and semantically search local files.
“We are strong supporters of deploying agents like OpenClaw securely into the Windows ecosystem,” said Vincent Koc, Chief Architect at the OpenClaw Foundation.
“Running solutions like OpenShell and the Microsoft security primitives on RTX Spark will enable users to leverage a fully integrated stack for private, personal agents running on-device.”
Powering agents on local devices requires both robust security and performant hardware. RTX Spark features up to 1 petaflop of AI compute and 128 GB of unified memory to meet the processing demands of on-device agents.
“At Nous, we expect tasks to increasingly run on device as personal agents like our Hermes Agent become more capable and ubiquitous,” said Dillon Rolnick, CEO of Nous Research, which trains open source language models and builds infrastructure to coordinate distributed, unbiased training.
“RTX Spark and NVIDIA OpenShell give Hermes users a powerful and secure environment for agents to run and work alongside you. You realise you’re buying a full-fledged assistant, not a typical laptop.”
Hermes was developed by Nous.
From this foundation, NVIDIA and Microsoft’s collaboration will expand to new RTX Spark-powered Windows agent experiences accessible from the Windows taskbar user interface, NVIDIA shared.
“Our goal is to deliver unmetered intelligence to every home and every desk with Windows,” said Satya Nadella, chairman and CEO of Microsoft.
“RTX Spark marks a real breakthrough towards that vision.”
Full-stack creating and gaming
RTX Spark delivers the full NVIDIA AI and graphics technology stack to creators, AI developers and gamers. Users can render ultra-large 90 GB 3D scenes with OptiX and DLSS, edit 12 K 4:2:2 video with the NVIDIA Blackwell decoder, run 120-billion-parameter large language models with 1 million tokens context, and play AAA games at 1,440p resolution and over 100 frames per second with ray tracing, DLSS and Reflex.
In addition to support for existing technologies, RTX Spark will power new RTX capabilities, including DLSS 4.5 Ray Reconstruction featuring a second-generation transformer model — coming to Blender 5.3 and dozens of games — and RTX Video with 4x Frame Generation, coming to ComfyUI.
RTX technology boosts performance, enhances image quality and adds AI features to over 1,000 games and applications. Over 100 Windows software providers such as Adobe, Blackmagic Design, Blender, CapCut, ComfyUI and OTOY, and game developers such as KRAFTON, NetEase, Remedy Entertainment, Riot Games and XBOX have embraced the RTX Spark platform.
“Blackmagic Design and NVIDIA have accelerated video production for many years,” said Grant Petty, CEO of Blackmagic Design.
“Portable, lightweight RTX Spark laptops with fantastic battery life are going to help our customers take the next leap in on-the-go production.”
“Rendering is entering a new era where path tracing, AI and real-time workflows are converging into powerful new neural media artist tools,” said Jules Urbach, CEO of OTOY.
“Our work with NVIDIA to bring OTOY Octane with Render Network support to RTX Spark will deliver a new class of portable systems for creators.”
“The combination of RTX Spark’s processing capabilities and large unified memory will make it one of the best-performing laptops to run diffusion models,” said Yannik Marek, cofounder and creator of ComfyUI.
“ComfyUI users can now run highly complex, multimodal workflows and generate ultra-high-resolution images and videos with unprecedented speed on a portable device.”
“RTX Spark laptops change the game by multiplying the amount of context processing and putting it directly into a beautiful, portable chassis,” said Georgi Gerganov, founder of llama.cpp.
“Highly optimised models running locally through llama.cpp with RTX Spark’s AI performance will unleash the next wave of personal, private agents.”
“We worked closely with NVIDIA to support a great gaming experience and are excited to expand access to XBOX on RTX Spark devices, making it easy for players to discover and play with XBOX on PC,” said Jason Ronald, VP of Next Generation at XBOX.
“RTX Spark allows even more gamers to experience NetEase titles like NARAKA: BLADEPOINT on ultrathin, high-performance laptops the way the developers intended,” said Long Cheng, Senior VP of Thunderfire BU at NetEase.
“Remedy is looking forward to bringing its games together with NVIDIA to these stunning new RTX Spark laptops,” said Mika Vehkala, CTO, Remedy Entertainment.
Powerful creative experiences
NVIDIA is partnering with Adobe to rearchitect Adobe Premiere and Photoshop for RTX Spark. Firefly, Adobe's family of AI models, powers Generative Fill in Photoshop and Generative Extend in Premiere are among the hundreds of accelerated tools that deliver creative power, precision and control. RTX Spark takes these capabilities further, delivering up to 2X faster AI, editing, colouring and effects across creative workflows.
“The best creative work in the world happens in Adobe tools from Adobe Firefly to Photoshop and Premiere, and the expansion of our partnership with NVIDIA and Microsoft will make those experiences faster and more powerful than ever,” said Shantanu Narayen, chair and CEO of Adobe.
“Together, we are building AI-native creative experiences for RTX Spark that deliver the performance, intelligence and responsiveness people need to create at the pace of their ambition.”
Adobe Premiere will feature a new video pipeline that taps into RTX Spark’s unified memory, Blackwell GPU and TensorRT software, delivering real-time performance for editing and color correction, GPU-accelerated AI performance and more efficient rendering of complex timelines. In addition, Adobe’s Substance 3D Painter and Stager will run natively on RTX Spark for smoother and more responsive 3D texturing and scene creation workflows.
Adobe’s next-generation Photoshop engine will also be optimised for GPU-accelerated compositing, enabling live filters, high dynamic range and modern natural brushing. The AI-native pipeline is built to harness the full power of RTX Spark, including TensorRT.
Adobe will further extend Premiere and Photoshop to allow users to create, edit and design with Windows agents, providing creators with a collaborative teammate to accelerate their workflows.
Updates to Adobe’s creative apps like Premiere, Photoshop and Substance are expected to start rolling out alongside RTX Spark availability.
Engineered to be as slim as 14 mm and as light as three pounds, RTX Spark laptops will be available in 14- to 16" sizes and feature precision-machined aluminum chassis that blends durability with a clean, modern design. Colour-accurate tandem OLED displays with NVIDIA G-SYNC technology provide stunning visuals for creative work and immersive gaming.
Small, ultraefficient RTX Spark desktops are built for agents, creative workloads, gaming and everyday productivity. Major hardware makers are rallying around RTX Spark, with many designs already in development.
“The next generation of PCs must be powerful, intelligent, mobile and beautifully designed,” said Jonney Shih, chairman of ASUS.
“With RTX Spark, ASUS has the platform to build systems that define the future of personal computing.”
“Creators shouldn’t have to choose between portability and performance,” said Michael Dell, chairman and CEO of Dell Technologies.
“With RTX Spark, Dell is delivering RTX performance and massive unified memory in the XPS 16 Creator Edition, a laptop built for people who demand the most from their hardware.”
“Developers and creators demand uncompromising performance wherever they work in the agentic AI era,” said Bruce Broussard, interim CEO of HP Inc.
“Our upcoming HP OmniBooks powered by NVIDIA will be one of the thinnest RTX Spark laptops, combining NVIDIA’s RTX performance, the breadth of the Windows ecosystem and the efficiency of unified memory to deliver unprecedented portable power for agentic developers.”
“The NVIDIA RTX Spark represents an exciting leap forward for AI-native computing,” said Yuanqing Yang, chairman and CEO of Lenovo.
“Our long-standing partnership with NVIDIA continues to turn breakthrough innovation into real-world impact. With Lenovo’s engineering and design expertise, global scale and comprehensive AI device portfolio, we are delivering a whole new level of AI experiences to creators, gamers and AI developers together, offering more choices to customers to build smarter AI for all.”
“For users who want AI acceleration, advanced content creation and strong gaming performance in a single device, RTX Spark is a compelling new platform,” said Jeans Huang, CEO of MSI.
“It has enabled MSI to redefine what a compact, efficient PC can deliver.”
“Surface has always exemplified the best of what a Windows PC can be. With Surface Laptop Ultra, we’re bringing that focus to creators, developers and engineers who need serious performance in a device that is thoughtfully designed, portable and deeply connected to the Windows tools and platform they count on,” said Brett Ostrum, Corporate VP of Surface at Microsoft.
“Our work with NVIDIA will deliver a Surface built for the way ambitious work gets done.”
NVIDIA and Microsoft’s collaboration to deliver agents in the Windows experience extends from personal to frontier agents with NVIDIA DGX Station for Windows — scaling the Blackwell architecture to enterprise developers by putting an AI supercomputer for running agents deskside.
Details
RTX Spark laptops and compact desktops will be available this fall (roughly Q326-Q426) from leading manufacturers including ASUS, Dell, HP, Lenovo, Microsoft Surface and MSI, with models from Acer and GIGABYTE to follow.
Explore
NVIDIA also launched the enterprise-level supercomputer-class NVIDIA DGX Station for Windows the same day.
NVIDIA Vera, the first CPU built for AI agents, is in full production, NVIDIA announced. NVIDIA Vera is a new class of processor enabling 1.8X faster task completion compared with x86 CPUs to drive diverse workloads across industries — including agentic AI, reinforcement learning and data processing — generating more data centre token revenue.
Building on the success of NVIDIA Grace CPUs, which have nearly 2.5 M shipments to date, Vera takes CPU performance and energy efficiency to new levels for the most demanding AI workloads in modern data centres — where agents move from answering basic questions to taking actions, running code, using tools and evaluating results.
Customers exploring the Vera CPU include finance leader NYSE, global AI labs Anthropic, OpenAI and SpaceXAI, as well as hyperscalers ByteDance, CoreWeave, Lambda, Nebius, Nscale and Oracle Cloud Infrastructure (OCI). Vera is also being integrated into AI infrastructure from system manufacturers such as Dell Technologies, HPE, Lenovo and Supermicro, along with Taiwan system builders.
“AI agents will be the largest users of computing,” said Jensen Huang.
“Vera is the first CPU designed for that future — built to run agentic AI at hyperscale with extraordinary performance, efficiency and programmability.”
Anthropic, the AI innovator behind Claude, is evaluating adding Vera to scale CPU-intensive agentic workloads. “Scaling compute is an important accelerant for the growth of models,” said James Bradbury, Head of compute at Anthropic.
“We’re excited to see Vera emerge as a promising part of the ecosystem when solving for agentic workloads.”
OCI Supercluster powered by NVIDIA Vera represents the next frontier in hyperscale AI supercomputing. “Oracle Cloud Infrastructure is rapidly scaling AI infrastructure to meet surging demand for training, inference and agentic AI,” said Mahesh Thiagarajan, Executive VP of Oracle Cloud Infrastructure.
“By deploying NVIDIA Vera CPUs, OCI will support high-throughput reasoning and data processing workloads across next-generation AI environments.”
According to Phoronix, which offers an open source benchmarking suite, NVIDIA Vera delivered the fastest overall performance across agentic workloads including code compilation, Python, Java and database processing. These workloads sit on the critical path of modern AI factories, including for agent tool use and sandbox execution, where faster CPU performance delivers higher agent throughput and interactivity.
AI factory economics are shifting from cores per dollar to tokens per dollar, requiring CPUs that complete agentic, data-processing and orchestration work faster and more efficiently. Vera is powered by Olympus, a custom NVIDIA CPU core engineered for the CPU work behind that shift, from Python runtimes and sandboxed code execution to orchestration logic and analytics pipelines.
Vera is built to process more instructions, anticipate application behaviour and move data across large numbers of concurrent environments, queries and data processing tasks — featuring 88 Olympus cores, Spatial Multithreading and a LPDDR5X memory subsystem that delivers up to 1.2 TBps of bandwidth. This helps agents spend less time waiting on CPU-bound steps and lets AI factories keep accelerators moving.
The Vera CPU can also be deployed across the full AI factory — from the standalone CPU infrastructure to tightly coupled accelerated systems. Vera helps AI factories deliver higher end-to-end throughput and faster time to solution for users, improving responsiveness and efficiency across training, inference and agentic execution.
Vera serves as the host CPU for NVIDIA Vera Rubin platforms through second-generation NVIDIA NVLink-C2C interconnect technology, which provides up to 1.8 TBps of coherent bandwidth between CPU and GPU. It extends NVIDIA Confidential Computing at rack scale, protecting agentic workloads.
The NVIDIA Vera BlueField-4 STX processor integrates Vera with high-performance networking, storage acceleration and in-silicon security to create secure-by-design AI-native data platforms.
Leading infrastructure providers offering Vera CPU-based systems include Aivres, ASRock Rack, ASUS, Compal, Dell, Foxconn, GIGABYTE, HPE, Hyve Solutions, Inventec, Lenovo, MiTAC Computing, MSI, Pegatron, Quanta Cloud Technology (QCT), Supermicro, Wistron and Wiwynn. Major original equipment manufacturers (OEMs) Dell, HPE, Lenovo and Supermicro will be offering Vera in standalone CPU server configurations, the first standard CPU option beyond x86.
Leading cloud service providers planning to deploy Vera CPUs include Akamai, ByteDance, Cloudflare, CoreWeave, Crusoe, Lambda, Nebius, Nscale, Oracle Cloud Infrastructure, Redpanda, Starburst, Together AI and Vultr.
Details
Vera CPUs are available in dense, liquid-cooled racks for large-scale agentic AI and reinforcement learning environments, as well as flexible two-socket air-cooled systems for enterprise, cloud, data processing and AI factory deployments. Vera systems will be available from system builders and cloud partners from fall.
Jensen Huang earlier unveiled NVIDIA Constellation, NVIDIA's new campus in Taipei.
The new building, designed to house roughly 4,000 employees, will be based in the Beitou-Shilin Technology Park in northern Taipei, on a site spanning nearly 4 hectares. It reflects the iconic design of NVIDIA’s headquarters in Santa Clara. Once operational, the site will serve as one of the largest AI research and development hubs in the Asia-Pacific (APAC) region.
“The world is watching NVIDIA shape the future of AI,” Taipei Mayor Chiang Wan-an said at the launch.
Jensen Huang also commented on the NVIDIA Gear Store for company swag. “Due to popular demand, this Gear Store will be open to the public,” he said.
He also said the next phase in the AI journey is physical AI, predicting that it “is going to transform manufacturing.”
“In Taiwan, our partners will benefit from all our technologies that will transform manufacturing,” Jensen Huang said.
He also spoke about GTC’s return to Taipei: “Taiwan has grown significantly over the years, and so we thought that it would be great to celebrate our ecosystem here,” Jensen Huang said.
“Many years ago we had 10 partners, and then five years ago maybe 50 partners. Now we have 150 partners, and so it’s good that we celebrate our ecosystem.”
At this year’s COMPUTEX Best Choice Awards (BCA), NVIDIA was recognised for its innovation in AI computing, integrated circuits and autonomous vehicle (AV) development.
The NVIDIA Vera Rubin NVL72 rack-scale AI supercomputer won a Golden Award and the Sustainable Tech Special Award; the NVIDIA Jetson Thor platform for edge AI and robotics won a Golden Award; and the NVIDIA Alpamayo open platform for AV development won the Vehicle Technology and Smart Cockpit Category Award.
Entries were evaluated on their functionality, innovation and market potential, showcased at the premier computer and technology trade exhibition.
- Designed for agentic AI, reasoning and long-context workloads, Vera
Rubin NVL72 enables AI factories to scale intelligence inside the rack
and across the data centre with secure, continuously available
deployment. The supercomputer connects 36 NVIDIA Vera CPUs and 72 NVIDIA Rubin GPUs — unified by the sixth-generation NVIDIA NVLink Switch for scale-up — with ConnectX-9 SuperNICs and Spectrum-X Ethernet Photonics co-packaged optics switches for scale-out and scale-across, as well as BlueField-4 DPUs to accelerate data processing across storage and security.
The Vera Rubin NVL72 sets the bar for scalability, resiliency and sustainable AI infrastructure, NVIDIA said. Its cable-free, hose-free, fanless modular tray design reduces assembly time from two hours to five minutes per compute tray.
The system’s power shelves deliver 6X more onboard energy storage for intelligent power smoothing, protecting both the rack and the broader power grid from steep load swings. In addition, its 100% liquid-cooled architecture operates at 45o Celsius, meaning it drops seamlessly into existing liquid-cooled data centres and enables ambient-air, dry-cooler designs that redirect power from cooling overhead into token generation.
- NVIDIA Jetson Thor won a Golden Award as the most powerful edge AI compute platform built for physical AI and autonomous robots. Powered by the NVIDIA Blackwell GPU architecture, it delivers up to 2,070 FP4 teraflops of AI performance.
Already in production across hundreds of applications, Jetson Thor is built to bring generative AI to smart robots, industrial systems, medical devices and autonomous machines while maximising run-time performance and memory optimisation.
- NVIDIA Alpamayo won the Vehicle Technology and Smart Cockpit Category Award for pioneering open, reasoning-based autonomous vehicle development. Alpamayo is designed to help developers tackle rare, complex long-tail driving scenarios — such as interpreting an ambiguous hand signal from a pedestrian, determining the right-of-way when traffic lights and road markings contradict each other, and safely passing an emergency vehicle parked partially in the lane ahead — which fall outside typical training experience.
The Alpamayo open platform includes Alpamayo 1.5 and Alpamayo 1, 10-billion-parameter chain-of-thought reasoning vision language action models for autonomous vehicle (AV) research; AlpaSim, an open source, end-to-end simulation framework for high-fidelity AV development; and NVIDIA Physical AI Open Datasets, which include more than 1,700 hours of driving data across geographies and conditions.
Details
NVIDIA GTC Taipei runs June 1-4 at COMPUTEX.
Huang delivered a keynote at COMPUTEX on June 1.
Hashtags: #Computex, #Computex2026, #GTC, #GTCTaipei, #GTCTaipei2026
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