Nvidia CEO Jensen Huang took the stage at Computex 2026 to unveil the company's first official processor family, the RTX Spark series. The announcement marks a significant expansion for the graphics card leader into the broader PC processor market. The new chips, previously rumored under the codenames N1 and N1X, are now officially branded as the RTX Spark Superchip lineup.

The RTX Spark series integrates Nvidia's GPU architecture with general-purpose processing cores on a single die. The design leverages the company's expertise in parallel computing and AI acceleration. Huang described the Superchip as a unified processor capable of handling both graphics and compute workloads with high efficiency.

Technical details shared during the presentation include support for the latest memory standards and connectivity interfaces. The chips are built on an advanced manufacturing process, though Nvidia did not disclose the specific node. The architecture incorporates dedicated tensor cores and ray tracing units, extending features from the company's discrete GPUs into the integrated processor.

Nvidia positioned the RTX Spark as a solution for a range of devices, from thin-and-light laptops to high-performance desktops. The company emphasized power efficiency and thermal performance, targeting both consumer and enterprise segments. Huang noted that the Superchip design allows for flexible configurations depending on the target device.

The announcement places Nvidia in direct competition with Intel and AMD in the CPU market. While Nvidia has long dominated the discrete GPU space, the RTX Spark series represents its first serious push into integrated processors. The company has previously offered the Tegra line for mobile and embedded devices, but the new chips are designed for mainstream PC platforms.

Availability details were provided for the initial lineup. The RTX Spark N1 and N1X models will launch in the first quarter of 2027. Pricing will vary by configuration, with the entry-level N1 starting at $299. OEM partners including Dell, HP, Lenovo, and ASUS have confirmed plans to release systems featuring the new processors.

Nvidia also announced a reference design for laptops and mini PCs based on the RTX Spark platform. The reference design includes support for up to 64GB of unified memory and PCIe 5.0 connectivity. Huang stated that the company will work closely with software developers to optimize applications for the new architecture.

The RTX Spark series goes on sale to OEMs in December 2026, with consumer devices expected to ship in early 2027. Nvidia will provide further technical specifications and benchmark results closer to the launch date.

South Korea-based semiconductor startup XCENA announced it has raised $135 million in a Series B funding round. Atinum Investment and IMM Investment co-led the investment, with participation from Corstone Asia, SBI Investment, and Mirae Asset Capital. Founded in 2022, the company has now raised a total of $185 million and reached a valuation of $570 million.

XCENA develops semiconductor technologies aimed at solving memory and data transfer bottlenecks in AI data centers. The company argues that constant data movement between CPUs, GPUs, and memory in AI systems creates significant cost and performance inefficiencies. To address this, XCENA is working on a memory-centric architecture that brings processing power closer to where data resides.

The startup's MX1 chip is designed to handle tasks such as data preprocessing, cache management, and data transfer directly on the memory module, reducing the workload on CPUs and GPUs. The chip focuses on inference processes for large language models and generative AI applications. XCENA aims to lower data center costs, improve energy efficiency, and enable AI infrastructure to operate with fewer servers.

XCENA was founded by Dohun Kim and Harry Juhyun Kim. The company plans to use the new funding to accelerate mass production of the MX1 chip, advance product development, and initiate commercial-scale deployment for AI data center customers. The Series B round brings the startup's total funding to $185 million since its inception in 2022.

The company's valuation now stands at $570 million, reflecting investor confidence in its memory-centric approach to AI hardware. XCENA's technology targets the growing demand for efficient AI inference in data centers, where power and cost constraints are becoming increasingly critical.

XCENA's MX1 chip is expected to enter mass production in the near term, with commercial deployments planned for AI data center clients. The company has not disclosed specific timelines or customer names but stated that the funding will support scaling operations and meeting market demand.

"This investment validates our vision of transforming AI data center architecture through memory-centric computing," said Dohun Kim, co-founder of XCENA, in a statement. The company aims to deliver tangible improvements in performance and energy efficiency for AI workloads.

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 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.