NVIDIA unveils RTX Spark AI superchip for Windows PCs at Computex
NVIDIA introduced the RTX Spark superchip at Computex, designed to deliver AI and graphics performance to Windows laptops and small desktops. The chip offers 1 petaflop of AI compute and is positioned as a portable version of the $3,999 DGX Spark.
NVIDIA took the stage at Computex to announce the RTX Spark, a new superchip built for Windows-based computers. The chip targets both laptops and compact desktop systems, aiming to accelerate artificial intelligence and graphics workloads. According to NVIDIA, the RTX Spark will power upcoming devices from major OEMs, including the Surface Laptop Ultra and Dell XPS 16.
The RTX Spark is positioned as a portable counterpart to the company's DGX Spark, a $3,999 AI mini desktop. While the DGX Spark runs on Linux and primarily serves large enterprises and AI developers, the RTX Spark is designed for Windows and aims to be more accessible to content creators and those new to AI development.
NVIDIA claims the RTX Spark delivers 1 petaflop of AI compute performance. The chip integrates 6,144 Blackwell RTX cores alongside 20 Mediatek Arm CPU cores. NVIDIA noted that this configuration resembles the RTX 5070 laptop GPU but with significantly lower power consumption.
The chip includes a neural processing unit (NPU) fast enough to meet Microsoft's Copilot+ requirements, which mandate 40 TOPS. For AI tasks, the RTX Spark leverages tensor cores within its Blackwell GPU architecture. The GPU can directly access a unified memory pool ranging from 16 GB to 128 GB, while the chip itself consumes between single-digit watts and 80 W.
NVIDIA CEO Jensen Huang described the RTX Spark as a complete reinvention of the PC. He stated that the chip transforms PCs into devices designed for AI agents. Huang emphasized that the RTX Spark represents a fundamental shift in how computers handle AI workloads.
NVIDIA collaborated with Microsoft over several years to design the RTX Spark. Pavan Davuluri, Microsoft's head of Windows and devices, confirmed that the company optimized Windows 11's workload profile scheduling for the new chip. Davuluri explained that whether users are checking emails or running a local agent for code debugging, the Windows scheduler on RTX Spark will ensure optimal performance and efficiency from the CPU.
The RTX Spark is expected to appear in systems from all major OEMs. Pricing and specific release dates for individual devices have not yet been announced. NVIDIA positioned the chip as a bridge between high-end AI development platforms and mainstream Windows computing.
NVIDIA's announcement at Computex underscores the company's push to embed AI capabilities into everyday computing devices. The RTX Spark aims to bring advanced AI processing to a broader audience without requiring specialized hardware or Linux-based systems.
MSI Unveils MEG Vision X2 AI Plus Desktop with Holographic Dragon Display
MSI announced the MEG Vision X2 AI Plus, a flagship desktop PC featuring a cylindrical 'AI Holostage' display on the front panel that projects a holographic dragon. The system runs a local AI model to animate the dragon and interact with users.
MSI is generating buzz ahead of Computex 2026 with the announcement of its new flagship desktop computer, the MEG Vision X2 AI Plus. The system targets high-end gamers and technology enthusiasts, reimagining the traditional PC chassis with a radical design overhaul. The front panel integrates a cylindrical display called the AI Holostage, which projects a holographic dragon that appears to live inside the case.
The AI Holostage runs a local AI model that powers the dragon's animations and interactions. The dragon responds to system events, user commands, and environmental data, creating a dynamic visual experience. MSI designed the display to serve as both an aesthetic centerpiece and a functional interface for monitoring system status.
Under the hood, the MEG Vision X2 AI Plus packs top-tier components tailored for demanding gaming and content creation workloads. The system supports the latest Intel Core processors and NVIDIA GeForce RTX graphics cards, though MSI has not disclosed specific configurations or performance benchmarks. The chassis incorporates advanced cooling solutions to manage heat from high-power components.
The AI Holostage is not merely decorative; it can display real-time system metrics such as CPU temperature, GPU load, and fan speeds. Users can interact with the dragon through voice commands or gestures, with the AI model processing inputs locally to ensure low latency. MSI emphasized that all AI processing occurs on-device, with no data sent to the cloud.
MSI positioned the MEG Vision X2 AI Plus as a statement piece for enthusiasts seeking a unique desktop experience. The company noted that the holographic display represents a shift toward integrating AI-driven interactivity into PC hardware. The dragon's behavior can be customized through software, allowing users to adjust its responsiveness and visual effects.
Pricing and availability details remain unannounced. MSI plans to reveal full specifications, pricing, and release dates during Computex 2026, which runs from June 2 to June 6 in Taipei. The MEG Vision X2 AI Plus will likely carry a premium price tag consistent with MSI's flagship MEG series.
MSI has not confirmed whether the AI Holostage technology will appear in other products or remain exclusive to this model. The company's Computex booth will showcase the system alongside other new hardware, including motherboards and peripherals. Early demonstrations suggest the holographic dragon responds fluidly to user interactions, though final software tuning may occur before launch.
MSI stated that the MEG Vision X2 AI Plus redefines the relationship between user and machine by making the PC's internal components visible and interactive. The company expects the system to appeal to collectors and modders who value both performance and visual flair. Full product details will be shared at Computex 2026.
Intel Unveils Xeon 6+ Series with 288 Cores for AI and Cloud Data Centers
Intel announced the Xeon 6+ (Clearwater Forest) processor family, built on the Intel 18A node, featuring up to 288 cores. The new chips target AI and cloud computing workloads in data centers.
Intel has officially introduced its next-generation Xeon 6+ processor family, code-named Clearwater Forest, designed for data centers and AI infrastructure. The new chips are built on the company's most advanced manufacturing process, the Intel 18A node, and deliver up to 288 cores per socket. The announcement comes as demand for computing power in AI and cloud services continues to surge.
The Xeon 6+ series represents a significant architectural leap from its predecessors. Intel 18A technology incorporates RibbonFET gate-all-around transistors and PowerVia backside power delivery, enabling higher performance and energy efficiency. The 288-core configuration targets massively parallel workloads such as large language model training, inference, and high-performance computing.
Intel positions the new processors as a direct response to the growing computational demands of modern data centers. The company emphasized that the Xeon 6+ will support advanced memory and I/O technologies, including DDR5 memory and PCIe 5.0 interfaces, to minimize bottlenecks in data-intensive applications. Specific clock speeds and thermal design power figures have not yet been disclosed.
The Clearwater Forest architecture introduces several microarchitectural improvements over the previous Granite Rapids and Sierra Forest designs. Intel claims the new cores deliver a substantial increase in instructions per clock, though exact performance metrics will be shared closer to launch. The processors also incorporate enhanced AI acceleration capabilities through integrated matrix engines.
Intel expects the Xeon 6+ to compete directly with AMD's EPYC processors and Arm-based server chips from companies like Ampere Computing. The company has not announced specific pricing or volume availability dates but indicated that sampling to key customers will begin in the first half of 2025. Production ramp is anticipated later that year.
Data center operators and cloud service providers are expected to be the primary customers for the Xeon 6+ series. Intel highlighted that the processors will be compatible with existing LGA 7529 socket platforms, easing upgrades for current Xeon users. The company also confirmed support for Intel's oneAPI software stack to simplify development across heterogeneous architectures.
Intel's announcement underscores its commitment to regaining leadership in the server processor market, where it has faced intense competition. The Xeon 6+ series is part of a broader roadmap that includes future generations built on Intel 14A and beyond. The company stated that the new chips will help customers achieve significant performance-per-watt improvements for AI and cloud workloads.
Intel plans to provide additional technical details at upcoming industry events, including the Hot Chips conference later this year. The Xeon 6+ processors are expected to enter volume production in the second half of 2025, with general availability following shortly after. Pricing will be announced at that time.
Nvidia Expands Robotaxi Ecosystem with Foxconn, Uber, VinFast, and HUMAIN Partnerships
Nvidia is scaling its DRIVE Hyperion platform for autonomous driving, announcing new partnerships with Foxconn, Uber, VinFast, and HUMAIN for robotaxi projects. The company aims to dominate the robotaxi ecosystem globally.
Nvidia is strengthening its position in the autonomous driving sector by expanding its DRIVE Hyperion platform through a series of new partnerships. The company announced collaborations with Foxconn, Uber, VinFast, and HUMAIN to develop robotaxi projects. These agreements mark a significant push by Nvidia to embed its technology across the global robotaxi ecosystem.
The DRIVE Hyperion platform serves as a complete reference architecture for autonomous vehicles, integrating Nvidia's DRIVE Orin system-on-a-chip, sensor suite, and software stack. By partnering with multiple companies, Nvidia aims to provide a standardized solution that can be adopted by various automakers and mobility service providers.
Foxconn, the Taiwanese electronics manufacturer, will leverage Nvidia's platform to develop electric vehicles and autonomous driving systems for its automotive clients. Uber, the ride-hailing giant, plans to integrate Nvidia's technology into its autonomous vehicle fleet, though specific details of the collaboration remain undisclosed.
Vietnamese automaker VinFast will use Nvidia's DRIVE Hyperion to accelerate the development of its self-driving cars. HUMAIN, a Chinese autonomous driving startup, will also adopt the platform for its robotaxi services. These partnerships highlight Nvidia's strategy to cover key markets, including North America, Asia, and Europe.
Nvidia's approach differs from competitors like Intel's Mobileye or Qualcomm, which offer more modular solutions. By providing a full-stack platform, Nvidia aims to reduce development time for automakers and mobility companies. The company claims its platform can handle Level 4 autonomous driving, meaning the vehicle can operate without human intervention in specific conditions.
The robotaxi market is projected to grow significantly in the coming years, with companies like Waymo, Cruise, and Baidu already testing services. Nvidia's partnerships could help it capture a larger share of this emerging market by supplying the underlying hardware and software.
Nvidia's DRIVE Hyperion platform is currently available for automakers and developers. The company has not disclosed specific financial terms of the partnerships or timelines for commercial deployment. However, Nvidia stated that the platform is production-ready and can be customized for different vehicle types.
With these new collaborations, Nvidia is positioning itself as a key enabler in the autonomous driving industry. The company's ability to secure partnerships with diverse players, from manufacturers to service providers, underscores its ambition to dominate the robotaxi ecosystem. Nvidia's CEO Jensen Huang emphasized that the company's platform offers a scalable and safe solution for autonomous mobility. The partnerships are expected to accelerate the deployment of robotaxis globally, though regulatory hurdles and public acceptance remain challenges. Nvidia continues to invest heavily in its automotive business, which it sees as a major growth driver beyond its core graphics and AI markets. The company's DRIVE platform is already used by over 370 partners worldwide, including automakers, trucking companies, and robotaxi developers. Nvidia's latest announcements reinforce its commitment to leading the autonomous driving revolution. The company plans to showcase its technology at upcoming industry events, including CES and the GPU Technology Conference. Nvidia's stock rose slightly following the news, reflecting investor optimism about its automotive prospects. The company faces competition from established players and new entrants, but its comprehensive platform approach may give it an edge in the race to deploy autonomous vehicles at scale.
Meta develops new wearable AI devices including a necklace and advanced smart glasses
Meta is working on new AI-powered wearable devices beyond smart glasses, including an AI necklace and advanced glasses with enhanced environmental sensing. The products aim to offer continuous voice interaction and contextual understanding.
New details have emerged about Meta's wearable technology strategy. According to a report from The Information, the company is not limiting itself to smart glasses but is also developing new hardware categories focused on artificial intelligence. These products include an AI necklace and advanced smart glasses capable of more comprehensive environmental analysis.
One of the products under development is an AI necklace designed for continuous interaction with the user. The device is expected to be equipped with a microphone and various sensors, allowing it to listen to voice commands throughout the day, create reminders, and deliver an AI-powered personal assistant experience. The approach resembles that of recent non-screen AI devices from startups like Humane and Limitless.
Another notable product is what Meta refers to as "supersensing" next-generation smart glasses. The company is reportedly developing glasses that go beyond its current Ray-Ban Meta products, aiming to better understand the user's surroundings and generate contextual information. These devices are intended to recognize objects the user looks at, interpret the environment, and offer more advanced recommendations through AI.
Meta has not made any official announcements regarding these products. However, the company has recently focused on tighter integration of AI with hardware, and these developments suggest it is preparing to expand its strategy with glasses and new wearable devices. This indicates that AI competition will not be limited to models and applications but will also shape new hardware categories.
The AI necklace is said to be designed for all-day use, with a focus on voice interactions rather than a screen. It could potentially handle tasks like setting timers, taking notes, or providing information based on the user's location and activities. The device may also leverage Meta's large language models to offer more natural conversations.
For the advanced smart glasses, Meta is working on computer vision capabilities that can identify objects, read text, and analyze scenes in real time. The glasses could overlay information or provide audio feedback to assist users in various tasks, such as navigation, shopping, or learning. This would represent a significant upgrade from the current Ray-Ban Meta glasses, which primarily offer camera and audio features.
The timeline for these products remains unclear. Meta is known to have multiple wearable projects in its research labs, and some may take years to reach the market. The company's hardware division, Reality Labs, has been investing heavily in augmented reality and AI technologies, with a long-term vision of creating devices that blend the digital and physical worlds.
Industry observers note that Meta's move into AI wearables could intensify competition with companies like Apple, Google, and Amazon, which are also developing similar technologies. The success of these products will depend on factors such as battery life, design, privacy features, and the ability to deliver useful AI experiences without being intrusive.
Meta has not provided any official statement on the reported devices. The company continues to focus on its existing Ray-Ban Meta smart glasses, which have received updates and new features since their launch. As of now, no release dates or pricing information have been disclosed for the AI necklace or supersensing glasses.








