{"title":"128GB","description":null,"products":[{"product_id":"msi-edgexpert-13sus-arm-cortex-x925-128gb-ram-4tb-ssd-nvidia-blackwell-personal-ai-supercomputer","title":"MSI EdgeXpert ARM Cortex X925 128GB RAM 4TB Gen 5 SSD NVIDIA Blackwell Personal AI Supercomputer (2 Options)","description":"\u003cp\u003eThe MSI EdgeXpert AI Supercomputer redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip - the same powerhouse at the core of NVIDIA DGX Spark. Purpose-built for developers, AI researchers, and data scientists, the EdgeXpert empowers local AI development with unmatched performance, scalability, and advanced features - all in a compact, desktop-ready form.\u003c\/p\u003e\n\u003ccenter\u003e\n\u003cimg width=\"700\" src=\"https:\/\/content.etilize.com\/Front\/1087607022.jpg\"\u003e\n\u003cp\u003e\u003cimg width=\"700\" src=\"https:\/\/content.etilize.com\/Rear\/1087607022.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg width=\"700\" src=\"https:\/\/content.etilize.com\/Left\/1087607022.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg width=\"700\" src=\"https:\/\/content.etilize.com\/Alternate-Image1\/1087607022.jpg\"\u003e\u003c\/p\u003e\n\u003c\/center\u003e\n\u003cp\u003eFeatures include:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA® Grace Blackwell Architecture\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Blackwell GPU \u0026amp; Arm 20 Core CPU:\u003c\/strong\u003e Optimizes data preprocessing and orchestration to accelerate model tuning and enable real-time inference with greater efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink®-C2C Technology:\u003c\/strong\u003e Offers a seamless CPU+GPU memory model with up to five times the bandwidth of PCIe 5.0, ensuring ultra-fast data access and transfer.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eUnmatched AI ComputingPower\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e1000 AI TOPS (FP4) Tensor Performance:\u003c\/strong\u003e Delivers blazing-fast performance for effortlessly running complex AI workloads at scale.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128 GB LPDDR5x, Unified System Memory:\u003c\/strong\u003e Provides the large memory needed for smooth model development, rapid experimentation, and high-efficiency inference.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRunning and Scaling LLMs Locally, from 200B to 405B Parameters\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupports AI Models with up to 200 billion Parameters:\u003c\/strong\u003e Run LLMs locally for data security, low latency, cost control, and full AI workflow—prototyping, fine-tuning, and inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStack via NVIDIA ConnectX: Large AI Models \u0026amp; Performance:\u003c\/strong\u003e High-performance NVIDIA ConnectX networking enables two MSI systems together to work with AI models up to 405 billion parameters.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSeamless AI Model Scaling from Desktop to Cloud\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg width=\"700\" src=\"https:\/\/storage-asset.msi.com\/event\/2025\/IPC\/EdgeXpert-MS-C931\/images\/img5.png?v=1.0\"\u003e\u003c\/center\u003e\n\u003cp\u003eLeverage NVIDIA’s AI software architecture to seamlessly scale from desktop to NVIDIA DGX™ cloud or other NVIDIA® accelerated data centers or cloudinfrastructures, just with minimal code changes.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesigned for AI Developers\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Scientist\/AI Developer:\u003c\/strong\u003e AI developer who can fine tune AI model or AI inference application in local, easily migrate to company data center or cloud.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAcademic:\u003c\/strong\u003e Practice AI training or develop AI inference application in classroom\/lab. Migrate to school server room or AI laboratory to scale up.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndependent AI Developer:\u003c\/strong\u003e Experiment with fine tuning AI models or run local inference to test or create local AI assistants. Easily migrate to cloud for more computing power.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\n  \u003cstrong\u003eApplications Supported by NVIDIA® AI Frameworks\u003c\/strong\u003e\u003cbr\u003eEdgeXpert provides an excellent platform for developing edge applications with NVIDIA® AI frameworks, including Isaac, Holoscan and many others.\u003c\/p\u003e\u003cul\u003e\n    \u003cli\u003eMedical: NV Holoscan for Medical Devices\n      \u003c\/li\u003e\n\u003cli\u003eRobot: NV Isaac for Robot\n        \u003c\/li\u003e\n\u003cli\u003eRetail: NV Riva for Retail\n          \u003c\/li\u003e\n\u003cli\u003eSmartCity: NV Metropolis for Smart City\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eTechnical Specifications:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eArchitecture: NVIDIA® Grace Blackwell GB10\n\u003c\/li\u003e\n\u003cli\u003eGPU: NVIDIA® Blackwell Architecture\n  \u003c\/li\u003e\n\u003cli\u003eCPU: 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm\u003c\/li\u003e\n  \u003cli\u003eTensor Performance: 1000 AI TOPS (FP4, Sparse)\n\u003c\/li\u003e\n\u003cli\u003eChipset: Integrated\u003c\/li\u003e\n\u003cli\u003eMemory: 128GB LPDDR5x\u003c\/li\u003e\n  \u003cli\u003eMemory Bandwidth: 273 GB\/s\n\u003c\/li\u003e\n\u003cli\u003eStorage: 4TB NVME.M2 Gen 5 Solid State Drive (SSD) with Self-Encryption\u003c\/li\u003e\n\u003cli\u003eWireless: AW-EM637 WiFi 7 (Gig+) \u0026amp; Bluetooth 5.4\u003c\/li\u003e\n\u003cli\u003eWired: 10GB Gigabit Ethernet\u003c\/li\u003e\n\u003cli\u003ePorts:\n\u003cul\u003e\n\u003cli\u003e4 x USB 3.2 Type-C\u003c\/li\u003e\n\u003cli\u003e1 x HDMI 2.1a\u003c\/li\u003e\n  \u003cli\u003eAudio Output: HDMI Multichannel\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eOperating System: NVIDIA DGX\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003ePhysical Specifications:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDimensions: 151 mm L x 151 mm W x 52 mm H (1.19L)\u003c\/li\u003e\n\u003cli\u003eWeight: 1.2kg (2.65 lbs.) 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This innovative device is designed to empower local AI development with its exceptional performance and advanced features.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eUnparalleled AI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUp to 1 petaFLOP of AI performance using FP4\u003c\/li\u003e\n\u003cli\u003eDelivers up to 1 petaFLOP of AI performance to power large AI workloads. 128 GB LPDDR5x Coherent Unified System Memory\u003c\/li\u003e\n\u003cli\u003eEmpowers model development, experimentation, and inferencing with ample memory capacity.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCutting-Edge Architecture\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e Central to the ASUS Ascent GX10, this advanced chip features a robust Blackwell GPU with fifth-generation Tensor Cores and FP4 support.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance 20-Core Arm CPU:\u003c\/strong\u003e Enhances data preprocessing and orchestration, accelerating model tuning and real-time inferencing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink™-C2C Technology:\u003c\/strong\u003e Provides a cohesive CPU+GPU memory model with five times the bandwidth of PCIe 5.0.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHandles Large Parameter Gen AI Models\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_models.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport for AI Models 200 Billion Parameters:\u003c\/strong\u003e Prototype, fine-tune, and infer the latest AI reasoning models directly on your desktop.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated NVIDIA® ConnectX®-7 Network Technology:\u003c\/strong\u003e Link two ASUS Ascent GX10 systems to handle even larger models, such as Llama 3.1 with 405 billion parameters.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMeets Next-Gen Connectivity: NVIDIA® ConnectX-7\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/security-1.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cp\u003eThe ASUS Ascent GX10 integrates NVIDIA® ConnectX-7 to deliver ultra-high-speed networking, enabling rapid data transfer and low-latency communication across distributed AI workloads.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltra-Fast AI Data Throughput:\u003c\/strong\u003e Ultra-fast bandwidth ensures rapid data transfer between nodes, perfect for large-scale distributed AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecure, Intelligent Networking:\u003c\/strong\u003e Built-in hardware acceleration for TLS, IPsec, and MACsec ensures encrypted data transmission without CPU overhead.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrecision-Critical Performance:\u003c\/strong\u003e IEEE 1588v2 PTP support enables microsecond-level time synchronization for time-sensitive AI and edge computing applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIntegrated AI Software Stack for Seamless Development\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePreloaded AI for Instant Development:\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS (Ubuntu-based)\u003c\/strong\u003e – Optimized AI environment, ready to use.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA AI Software Stack\u003c\/strong\u003e – Preloaded frameworks, SDKs, and tools for fast deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimized AI Tools \u0026amp; AI Frameworks:\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA, PyTorch, TensorFlow, Jupyter\u003c\/strong\u003e – Optimized for AI model development \u0026amp; inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA TensorRT\u003c\/strong\u003e – High-performance AI inference engine.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA NIMs \u0026amp; Blueprints\u003c\/strong\u003e – Prebuilt AI workflows \u0026amp; microservices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePrecision-Crafted for Ultimate Thermal Efficiency\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/GX10_Thermal_3D.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cp\u003e\u003cbr\u003eTackle AI's most demanding workloads with the ASUS Ascent GX10. Its advanced dual-fan design with 7-level control delivers smooth, precise airflow. With 1.6× more efficient thermal coverage than comparable compact systems, the GX10 stays cooler and consistently performs at its peak.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEngineered for Maximum Efficiency\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_scalable.png\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003eOptimized cooling design ensure sustained AI performance under heavy workloads\u003c\/li\u003e\n\u003cli\u003eCompact from factor, delivering high-density AI computing in a small footprint\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKensington Lock Slot\u003c\/li\u003e\n\u003cli\u003e1 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1), with PD in(180W EPR PD3.1 SPEC)\u003c\/li\u003e\n\u003cli\u003e3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1)\u003c\/li\u003e\n\u003cli\u003eHDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e10 GbE LAN\u003c\/li\u003e\n\u003cli\u003eNVIDIA ConnectX®-7 NIC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eLocal Development, Scalable Deployment\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_deployment.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSeamless Transition to Cloud:\u003c\/strong\u003e Leverage NVIDIA AI platform software architecture to move models from desktop environments to DGX Cloud or any accelerated cloud or data center infrastructure with minimal code adjustments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCost-Effective Experimentation Platform:\u003c\/strong\u003e Free up essential compute resources in clusters better suited for training and deploying production models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eHighlights:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtreme AI Performance:\u003c\/strong\u003e Powered by NVIDIA® GB10 Grace Blackwell Superchip delivering 1 petaFLOP of AI performance and 128GB memory for 200B model fine-tuning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeveloper-Optimized Platform:\u003c\/strong\u003e Tailored for AI researchers and developers with full-stack compatibility and streamlined workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eScalable Architecture:\u003c\/strong\u003e Featuring NVIDIA® NVLink™-C2C for ultra-fast CPU-GPU memory communication and NVIDIA® ConnectX-7 networking to support dual GX10 system stacking, unlocking superior scalability and performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Thermal Design:\u003c\/strong\u003e Engineered cooling ensures sustained high performance and reliability in an ultra small form factor.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMinimal Footprint, Maximum Efficiency:\u003c\/strong\u003e High-density compute power in a compact system designed for labs, offices, and edge environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull Stack AI Solution:\u003c\/strong\u003e The GB10 and NVIDIA AI software stack provide a full stack solution for AI development and deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\nTechnical Specifications:\u003cul\u003e\n  \u003cli\u003eCPU: ARM v9.2-A CPU (GB10)\n    \u003c\/li\u003e\n\u003cli\u003eChipset: Integrated\n\u003c\/li\u003e\n\u003cli\u003eGraphics: NVIDIA Blackwell GPU; (GB10, integrated)\n  \u003c\/li\u003e\n\u003cli\u003eMemory: 128GB LPDDR5\n    \u003c\/li\u003e\n\u003cli\u003eStorage: 2TB M.2 NVMe™ PCIe® 4.0 Solid State Drive (SSD)\n      \u003c\/li\u003e\n\u003cli\u003eWireless: AW-EM637 WiFi 7 (Gig+) \u0026amp; Bluetooth 5.4\n        \u003c\/li\u003e\n\u003cli\u003eWired: 10G Gigabit Ethernet\n          \u003c\/li\u003e\n\u003cli\u003ePorts: \u003cul\u003e\n            \u003cli\u003e3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1)\n\u003c\/li\u003e\n\u003cli\u003e1 x USB 3.2 Gen 2x2 Type-C,with PD in(180W EPR PD3.1 SPEC)\n\u003c\/li\u003e\n\u003cli\u003e1 x HDMI 2.1\n\u003c\/li\u003e\n\u003cli\u003e1 x NVIDIA® ConnectX®-7 SmartNIC\n\u003c\/li\u003e\n\u003cli\u003e1 x 10G LAN\n\u003c\/li\u003e\n\u003cli\u003e1 x Kensington Lock\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eOperating System: Ubuntu Linux\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\nPhysical Specifications:\u003cul\u003e\n  \u003cli\u003eDimensions: 150 x 150 x 51 mm (5.91 x 5.91 x 2.01 inch)\n    \u003c\/li\u003e\n\u003cli\u003eWeight: 1.48kg (3.26 lbs.) 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Running on the secure \u003cstrong\u003eWindows 11 Pro operating system platform\u003c\/strong\u003e, this industrial hardware asset delivers rapid boot sequence velocities, automated hardware diagnostics handshakes, and strict localized profile data protections out of the box. This commercial computing solution completely eliminates the system resource bottlenecks, thermal pacing limits, and memory degradation traditionally caused by standard consumer hardware. This means your institutional IT administration and research deployment teams can bypass manual subsystem configuration bottlenecks and establish an immediate, high-velocity parallel data processing engine long before your next academic term begins.\u003c\/p\u003e\n\u003cp\u003eSystem data processing and visual compilation performance are driven by an unmatched, ultra-dense compute architecture, utilizing an \u003cstrong\u003eintegrated NVIDIA GB10 Superchip system-on-chip computing matrix featuring next-generation parallel tensor architecture, a massive 128GB of high-density system memory, and a blistering 4TB PCIe M.2 NVMe solid-state drive (SSD) local flash memory workspace\u003c\/strong\u003e. This synchronized high-performance core allows data scientists, engineering students, and administrative research operators to compile massive multi-layer neural networks, execute real-world localized machine learning simulations, and manage complex virtual database clusters simultaneously with absolute system stability. The internal engine integrates an advanced data bandwidth channel paired with heavy-duty enterprise network utility paths. This makes it effortless for technical administrators to maintain uncompromised data transmission speeds, synchronize deep-learning algorithmic repositories instantly, or process raw dataset pools straight through local area networks without encountering execution lag or processing buffer drops on the floor.\u003c\/p\u003e\n\u003cp\u003eThe Veriton GN100 high-performance chassis secures its position as a high-value institutional procurement asset because of its \u003cstrong\u003eruggedized industrial component durability, optimized thermal airflow architecture, and extensive hardware input\/output connectivity matrix\u003c\/strong\u003e. Academic research directors and institutional procurement officers rely on this hardware module's premium cooling configurations, commercial-grade motherboard capacitors, and comprehensive physical security lock slots to insulate tight technology budgets from unexpected maintenance overhead and protect long-term capital investments. The compact enclosure integrates high-speed digital connectivity lanes, multiple high-speed USB Type-A interfaces, dedicated native video out terminals for multi-screen configurations, and a native RJ45 Gigabit Ethernet port, allowing management to verify absolute peripheral tool compatibility across the entire corporate computer fleet. On the outside, your long-term physical hardware asset is protected by an \u003cstrong\u003eadvanced structural chassis protective shielding matrix and a scratch-resistant professional finish\u003c\/strong\u003e, providing complete component longevity from the core silicon layer up.\u003c\/p\u003e\n\u003cstrong\u003eFeatures include:\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e⚙️ NVIDIA GB10 Superchip Engine:\u003c\/strong\u003e Cutting-edge multi-core high-performance computing system engineered with advanced tensor architectures to accelerate localized AI modeling and data rendering processing velocities.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e🧠 128GB High-Density System RAM:\u003c\/strong\u003e Massive ultra-high-capacity memory allocation built to handle heavy multi-layer neural network datasets and eliminate system buffer limitations during intensive workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e🚀 4TB PCIe NVMe SSD Storage:\u003c\/strong\u003e Maximum-capacity local solid-state flash memory workspace engineered to deliver lightning-fast data indexing, rapid file transfers, and secure local asset preservation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e🛡️ Windows 11 Pro Pre-Installed:\u003c\/strong\u003e Native enterprise operating system environment equipped with advanced BitLocker data encryption, remote deployment paths, and robust corporate security access tools.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e🔌 Broad Video Extension Output:\u003c\/strong\u003e High-definition monitor expansion routes featuring advanced digital output ports to build fluid, high-productivity multi-screen teaching and research layout workspaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e📐 Industrial Thermal-Optimized Casing:\u003c\/strong\u003e Compact form factor enclosure scaled with specialized internal cooling arrays to minimize thermal throttling and ensure absolute compute stability under heavy workloads.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: sans-serif; text-align: left; margin: 20px 0px; border: 1px solid rgb(221, 221, 221); height: 372.4px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: rgb(248, 249, 250); border-bottom: 2px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003cth style=\"padding: 12px; font-weight: bold; width: 35%; border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"padding: 12px; font-weight: bold; height: 19.6px;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eBrand\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eAcer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eModel \/ Part Number\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eVeriton GN100 \/ VGN100-UD11\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eDevice Classification\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eUltra-Performance AI Compute Workstation Server Node\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eMicrosoft Windows 11 Pro 64-Bit Edition Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eProcessor \u0026amp; GPU Platform\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eIntegrated NVIDIA GB10 Superchip Computing Module Matrix\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003e128GB High-Density Unified System RAM Workspace Baseline\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eStorage Allocation\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003e4TB M.2 PCIe NVMe Solid-State Drive (SSD) Core Workspace\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eInput\/Output Connectivity\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eHigh-Speed Digital Video Out Ports, RJ45 LAN, Multiple USB Type-A Ports, Audio Input\/Output Terminals\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eWired Networking Interface\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003e1 x RJ45 Gigabit Ethernet port supporting remote wake-on-LAN client mapping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eChassis Architecture Layout\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eCompact, Thermal-Optimized SFF Enterprise Workstation Chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003e\n\u003ctd style=\"padding: 12px; font-weight: bold; background-color: rgb(253, 253, 253); border-right: 1px solid rgb(221, 221, 221); height: 19.6px;\"\u003eCompliance Vetting\u003c\/td\u003e\n\u003ctd style=\"padding: 12px; height: 19.6px;\"\u003eRoHS Material Compliant \/ CE Standard Safety Certified Matrix \/ FCC Part 15 Cleared\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003e💡 PRO TIP #1: SAFEGUARD PROCESSING CORES WITH DEDICATED STATIONARY SURGE SUPPRESSORS! 💡\u003c\/strong\u003e\u003cbr\u003eWhile this commercial Veriton compact tower houses internal high-efficiency circuit safety fuses, deploying a centralized network of desktop computers in a school laboratory or administrative department exposes your hardware assets to unpredictable power grid drops and electrical spikes. We highly recommend pairing each desktop unit installation with a \u003cstrong\u003e\u003ca href=\"https:\/\/thinkedu.com\/collections\/hardware-batteries-chargers-surge-protectors\"\u003ePremium Multi-Outlet Surge Protector or localized Uninterruptible Power Supply (UPS) block\u003c\/a\u003e\u003c\/strong\u003e. Routing your core workstation electricity through dedicated, hardwired absorption breakers completely eliminates voltage drop vulnerabilities, isolates electronic circuit loops, and guarantees continuous system uptime with complete long-term hardware asset efficiency.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e💡 PRO TIP #2: ACCELERATE INFRASTRUCTURE RANGE VIA HEAVY-DUTY LONG-DISTANCE HDMI TRAILING! 💡\u003c\/strong\u003e\u003cbr\u003eWhile this advanced micro desktop unit distributes data streams smoothly from its graphics processing hub, anchoring widescreen monitors across wide classroom lecture halls or deep multi-user office desks requires premium, long-range physical pipelines. We highly recommend matching your monitor hardware output staging with a \u003cstrong\u003e\u003ca href=\"https:\/\/thinkedu.com\/collections\/hardware-batteries-chargers-hdmi-cables\"\u003ePremium - and longer - HDMI Cable\u003c\/a\u003e\u003c\/strong\u003e configuration. Utilizing thicker high-status structural routing cords completely isolates terminal electromagnetic interference loops, enables clean routing under corporate desk panels, and guarantees a stable, uncompressed visual signal path with complete hardware platform system efficiency.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003chr\u003e","brand":"D\u0026H Distributing - EDI","offers":[{"title":"Veriton VGN100-UD11 Workstation","offer_id":50781077504286,"sku":"GN100UD11","price":3899.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0800\/4435\/9966\/files\/1087173220.jpg?v=1778103373"},{"product_id":"asus-ascent-gx10-gg0010bn-desktop-ai-computer-arm-cortex-x925-128-gb-1-tb-pci-express-nvme-40-x4-ssd-stellar-gray-taa-compliant-ascentgx10","title":"ASUS Ascent GX10 NVIDIA GB10 Grace Blackwell 128GB RAM 1TB SSD Compact Desktop AI Supercomputer","description":"\u003cp\u003eThe ASUS Ascent GX10, accelerated by the NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, provides a full-stack solution for AI development and deployment. Its compact design facilitates seamless integration and deployment, enabling powerful AI performance for innovators who demand excellence. With advanced AI tools and NVIDIA® ConnectX®-7, this small-scale server enhances your AI capabilities while empowering your unique solutions.\u003c\/p\u003e\n\u003ccenter\u003e\n\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/gain\/8d1bd1a2-afd2-4724-939f-c08799b3b5a7\/w692\" width=\"700\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/line_pd.png\" width=\"700\"\u003e\u003c\/p\u003e\n\u003c\/center\u003e\n\u003cp\u003e\u003cstrong\u003eRevolutionary AI Performance on Your Desktop\u003c\/strong\u003e\u003cbr\u003eThe groundbreaking ASUS Ascent GX10 AI Supercomputer, powered by the state-of-the-art NVIDIA® GB10 Grace Blackwell Superchip found in the NVIDIA DGX Spark, brings petaflop-scale AI computing capabilities directly to the desks of developers, AI researchers, and data scientists. This innovative device is designed to empower local AI development with its exceptional performance and advanced features.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eUnparalleled AI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUp to 1 petaFLOP of AI performance using FP4\u003c\/li\u003e\n\u003cli\u003eDelivers up to 1 petaFLOP of AI performance to power large AI workloads. 128 GB LPDDR5x Coherent Unified System Memory\u003c\/li\u003e\n\u003cli\u003eEmpowers model development, experimentation, and inferencing with ample memory capacity.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCutting-Edge Architecture\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e Central to the ASUS Ascent GX10, this advanced chip features a robust Blackwell GPU with fifth-generation Tensor Cores and FP4 support.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance 20-Core Arm CPU:\u003c\/strong\u003e Enhances data preprocessing and orchestration, accelerating model tuning and real-time inferencing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink™-C2C Technology:\u003c\/strong\u003e Provides a cohesive CPU+GPU memory model with five times the bandwidth of PCIe 5.0.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHandles Large Parameter Gen AI Models\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_models.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport for AI Models 200 Billion Parameters:\u003c\/strong\u003e Prototype, fine-tune, and infer the latest AI reasoning models directly on your desktop.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated NVIDIA® ConnectX®-7 Network Technology:\u003c\/strong\u003e Link two ASUS Ascent GX10 systems to handle even larger models, such as Llama 3.1 with 405 billion parameters.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMeets Next-Gen Connectivity: NVIDIA® ConnectX-7\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/security-1.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cp\u003eThe ASUS Ascent GX10 integrates NVIDIA® ConnectX-7 to deliver ultra-high-speed networking, enabling rapid data transfer and low-latency communication across distributed AI workloads.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltra-Fast AI Data Throughput:\u003c\/strong\u003e Ultra-fast bandwidth ensures rapid data transfer between nodes, perfect for large-scale distributed AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecure, Intelligent Networking:\u003c\/strong\u003e Built-in hardware acceleration for TLS, IPsec, and MACsec ensures encrypted data transmission without CPU overhead.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrecision-Critical Performance:\u003c\/strong\u003e IEEE 1588v2 PTP support enables microsecond-level time synchronization for time-sensitive AI and edge computing applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIntegrated AI Software Stack for Seamless Development\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePreloaded AI for Instant Development:\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS (Ubuntu-based)\u003c\/strong\u003e – Optimized AI environment, ready to use.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA AI Software Stack\u003c\/strong\u003e – Preloaded frameworks, SDKs, and tools for fast deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimized AI Tools \u0026amp; AI Frameworks:\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA, PyTorch, TensorFlow, Jupyter\u003c\/strong\u003e – Optimized for AI model development \u0026amp; inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA TensorRT\u003c\/strong\u003e – High-performance AI inference engine.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA NIMs \u0026amp; Blueprints\u003c\/strong\u003e – Prebuilt AI workflows \u0026amp; microservices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePrecision-Crafted for Ultimate Thermal Efficiency\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/GX10_Thermal_3D.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cp\u003e\u003cbr\u003eTackle AI's most demanding workloads with the ASUS Ascent GX10. Its advanced dual-fan design with 7-level control delivers smooth, precise airflow. With 1.6× more efficient thermal coverage than comparable compact systems, the GX10 stays cooler and consistently performs at its peak.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEngineered for Maximum Efficiency\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_scalable.png\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003eOptimized cooling design ensure sustained AI performance under heavy workloads\u003c\/li\u003e\n\u003cli\u003eCompact from factor, delivering high-density AI computing in a small footprint\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKensington Lock Slot\u003c\/li\u003e\n\u003cli\u003e1 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1), with PD in(180W EPR PD3.1 SPEC)\u003c\/li\u003e\n\u003cli\u003e3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1)\u003c\/li\u003e\n\u003cli\u003eHDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e10 GbE LAN\u003c\/li\u003e\n\u003cli\u003eNVIDIA ConnectX®-7 NIC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eLocal Development, Scalable Deployment\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ccenter\u003e\u003cimg src=\"https:\/\/dlcdnwebimgs.asus.com\/files\/media\/202506\/5c0fb57c-4e48-4e96-8c97-04bf8df2677c\/v1\/img\/pic_deployment.jpg\" width=\"700\"\u003e\u003c\/center\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSeamless Transition to Cloud:\u003c\/strong\u003e Leverage NVIDIA AI platform software architecture to move models from desktop environments to DGX Cloud or any accelerated cloud or data center infrastructure with minimal code adjustments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCost-Effective Experimentation Platform:\u003c\/strong\u003e Free up essential compute resources in clusters better suited for training and deploying production models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eHighlights:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtreme AI Performance:\u003c\/strong\u003e Powered by NVIDIA® GB10 Grace Blackwell Superchip delivering 1 petaFLOP of AI performance and 128GB memory for 200B model fine-tuning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeveloper-Optimized Platform:\u003c\/strong\u003e Tailored for AI researchers and developers with full-stack compatibility and streamlined workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eScalable Architecture:\u003c\/strong\u003e Featuring NVIDIA® NVLink™-C2C for ultra-fast CPU-GPU memory communication and NVIDIA® ConnectX-7 networking to support dual GX10 system stacking, unlocking superior scalability and performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Thermal Design:\u003c\/strong\u003e Engineered cooling ensures sustained high performance and reliability in an ultra small form factor.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMinimal Footprint, Maximum Efficiency:\u003c\/strong\u003e High-density compute power in a compact system designed for labs, offices, and edge environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull Stack AI Solution:\u003c\/strong\u003e The GB10 and NVIDIA AI software stack provide a full stack solution for AI development and deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\nTechnical Specifications:\u003cul\u003e\n  \u003cli\u003eCPU: ARM v9.2-A CPU (GB10)\n    \u003c\/li\u003e\n\u003cli\u003eChipset: Integrated\n\u003c\/li\u003e\n\u003cli\u003eGraphics: NVIDIA Blackwell GPU; (GB10, integrated)\n  \u003c\/li\u003e\n\u003cli\u003eMemory: 128GB LPDDR5\n    \u003c\/li\u003e\n\u003cli\u003eStorage: 1TB M.2 NVMe™ PCIe® 4.0 Solid State Drive (SSD)\n      \u003c\/li\u003e\n\u003cli\u003eWireless: AW-EM637 WiFi 7 (Gig+) \u0026amp; Bluetooth 5.4\n        \u003c\/li\u003e\n\u003cli\u003eWired: 10G Gigabit Ethernet\n          \u003c\/li\u003e\n\u003cli\u003ePorts: \u003cul\u003e\n            \u003cli\u003e3 x USB 3.2 Gen 2x2 Type-C, 20Gbps, alternate mode (DisplayPort 2.1)\n\u003c\/li\u003e\n\u003cli\u003e1 x USB 3.2 Gen 2x2 Type-C,with PD in(180W EPR PD3.1 SPEC)\n\u003c\/li\u003e\n\u003cli\u003e1 x HDMI 2.1\n\u003c\/li\u003e\n\u003cli\u003e1 x NVIDIA® ConnectX®-7 SmartNIC\n\u003c\/li\u003e\n\u003cli\u003e1 x 10G LAN\n\u003c\/li\u003e\n\u003cli\u003e1 x Kensington Lock\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eOperating System: Ubuntu Linux\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\nPhysical Specifications:\u003cul\u003e\n  \u003cli\u003eDimensions: 150 x 150 x 51 mm (5.91 x 5.91 x 2.01 inch)\n    \u003c\/li\u003e\n\u003cli\u003eWeight: 1.48kg (3.26 lbs.) Approximate\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"D\u0026H Distributing - EDI","offers":[{"title":"Default Title","offer_id":51881006006558,"sku":"ASCENTGX10","price":3499.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0800\/4435\/9966\/files\/1087166882_4231b84c-e805-4b02-9169-70315a75757b.jpg?v=1778091551"}],"url":"https:\/\/thinkedu.com\/collections\/memory-128gb\/system-windows-11-pro.oembed","provider":"ThinkEDU","version":"1.0","type":"link"}