{"title":"NVIDIA DGX Systems","description":"","products":[{"product_id":"exxact-valence-nvidia-dgx-station™-1x-nvidia-gb300-grace-blackwell-ultra-desktop-superchip","title":"Exxact Valence NVIDIA DGX Station™ - 1x NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip","description":"\u003cp\u003eBring the transformative power of the NVIDIA Blackwell architecture directly to your office environment. The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eExxact Valence NVIDIA DGX Station™\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eredefines desktop computing by integrating the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA GB300 Grace Blackwell Ultra Superchip\u003c\/strong\u003e—a breakthrough design that couples a 72-core NVIDIA Grace™ CPU with two Blackwell Ultra GPUs via the ultra-fast NVLink-C2C interconnect. This unified superchip architecture eliminates traditional bottlenecks, providing a coherent memory pool of nearly\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e800GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eto handle trillion-parameter models that previously required massive server clusters.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 id=\"unmatched-performance-for-generative-ai\" tabindex=\"-1\"\u003e\u003cstrong\u003eUnmatched Performance for Generative AI\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDesigned for the most demanding AI workflows, the Exxact Valence NVIDIA DGX Station™ delivers unprecedented speed and efficiency:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnified Memory Architecture:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eAccess\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e496GB of LPDDR5X\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eCPU memory and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e288GB of HBM3e\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eGPU memory as a single coherent pool, enabling you to fit massive LLMs and datasets entirely in memory.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtreme Compute Power:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eAchieve up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e20 petaFLOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eof AI performance with fifth-generation Tensor Cores and support for the new\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVFP4\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eprecision, accelerating training and inference by orders of magnitude over previous generations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Center Connectivity:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eEquipped with the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA ConnectX-8 SuperNIC\u003c\/strong\u003e, this station supports up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e400Gb\/s\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003enetworking, ensuring seamless integration with DGX SuperPODs and cloud clusters for scalable workflows.\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"whisper-quiet%2C-office-ready-design\" tabindex=\"-1\"\u003e\u003cstrong\u003eWhisper-Quiet, Office-Ready Design\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eDespite its server-grade capabilities, the Exxact Valence is engineered for the human workspace. Its precision-tuned\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eliquid cooling system\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eensures the GB300 Superchip operates at peak performance while remaining whisper-quiet (\u0026lt;35dB). No specialized power or cooling infrastructure is required—simply plug it into a standard wall outlet to turn your desk into a world-class AI research center.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 id=\"enterprise-grade-software-stack\" tabindex=\"-1\"\u003e\u003cstrong\u003eEnterprise-Grade Software Stack\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe system comes pre-installed with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA DGX OS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand the comprehensive\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA AI Enterprise\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esoftware suite. From the moment you power on, you have instant access to optimized frameworks, pretrained models, and development tools like NVIDIA RAPIDS™ and TensorRT™, allowing you to go from prototype to production faster than ever before.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 id=\"optimized-for-massive-scale-and-future-proof-workflows\" tabindex=\"-1\"\u003e\u003cstrong\u003eOptimized for Massive Scale and Future-Proof Workflows\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Exxact Valence is not just a standalone workstation; it is a gateway to massive-scale AI factories. The system is designed with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003earchitectural continuity\u003c\/strong\u003e, ensuring that models developed locally on the desktop can be seamlessly migrated to larger data center clusters like the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA GB300 NVL72 rack-scale system\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewithout code changes or optimization penalties. This capability allows researchers to prototype on the desktop and scale instantly to the cloud or data center.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 id=\"advanced-connectivity-and-expandability\" tabindex=\"-1\"\u003e\u003cstrong\u003eAdvanced Connectivity and Expandability\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBeyond its core processing power, the workstation features robust I\/O capabilities to support diverse professional needs:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Storage:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIncludes\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2x PCIe 5.0 x2 M.2 NVMe slots\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(from CPU) and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2x PCIe 6.0 x4 M.2 slots\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(for training data), providing ultra-fast data access to feed the hungry GPUs\u003ca rel=\"noopener noreferrer\" class=\"digital-citation-link\" title=\"exxactcorp.com\" href=\"https:\/\/www.exxactcorp.com\/Exxact-VWS-158270643-E158270643\" target=\"_blank\"\u003e1\u003c\/a\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDisplay Versatility:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eSupports a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003edouble-wide PCIe 5.0 x16 slot\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ededicated for display output, allowing you to drive high-resolution monitors for visualization and data analysis alongside heavy compute tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking Flexibility:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eComes equipped with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003edual 10GBASE-T Ethernet ports\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003etwo QSFP112 ports\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esupporting up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e400Gb\/s\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003evia the NVIDIA ConnectX-8 SuperNIC, ensuring high-throughput connectivity for distributed training and large file transfers.\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"precision-engineered-for-efficiency\" tabindex=\"-1\"\u003e\u003cstrong\u003ePrecision-Engineered for Efficiency\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eBuilt to maximize performance per watt, the system leverages the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Grace CPU's\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003epower efficiency combined with the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBlackwell Ultra GPU's\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ehigh compute density. The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eGB300 Superchip\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esupports dynamic power management, and the system is housed in a sleek full-tower chassis (23.4\" L x 9.6\" W x 20.8\" H) that fits comfortably in a standard office setting, powered by a single\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e1600W 80 PLUS Titanium power supply\u003c\/strong\u003e.\u003c\/p\u003e","brand":"Exxact","offers":[{"title":"Default Title","offer_id":44808553594949,"sku":"VWS-15827064","price":86411.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0667\/7666\/2085\/files\/EXX-IMG-9734993.webp?v=1774263042"},{"product_id":"nvidia-dgx-b300-server-8x-blackwell-ultra-gpu-288-gb-3-yr-business-standard-support-commercial","title":"NVIDIA DGX B300 Server - 8x Blackwell Ultra GPU 288 GB - 3 yr Business Standard Support - Commercial","description":"\u003cp\u003eThe NVIDIA DGX B300 is not just a server; it is a fully integrated AI factory designed to solve the world’s most complex computing challenges. Built on the revolutionary\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Blackwell Ultra architecture\u003c\/strong\u003e, this system sets a new standard for AI infrastructure, combining unprecedented compute density, massive memory capacity, and lightning-fast networking into a single, production-ready platform. Whether you are training trillion-parameter models or deploying real-time reasoning engines, the DGX B300 provides the horsepower needed to turn raw data into intelligence.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 id=\"key-features-%26-performance\" tabindex=\"-1\"\u003e\u003cstrong\u003eKey Features \u0026amp; Performance\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUnmatched Compute Power:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eEquipped with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8x NVIDIA Blackwell Ultra GPUs\u003c\/strong\u003e, the DGX B300 delivers up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e144 petaFLOPS of FP4 AI inference performance\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e72 petaFLOPS of FP8 training performance\u003c\/strong\u003e. This represents a generational leap, offering\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e11x faster inference\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4x faster training\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ecompared to the Hopper generation, drastically reducing time-to-solution for the most demanding AI workloads.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMassive Memory Landscape:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eWith a total of\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2.3TB of high-bandwidth GPU memory\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(288GB per GPU), the system is engineered to handle massive datasets and the largest Mixture-of-Experts (MoE) models without memory bottlenecks. This expanded capacity allows developers to fit larger models into memory, speeding up processing and enabling more complex reasoning tasks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUnified High-Speed Fabric:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eThe system features\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8x NVIDIA ConnectX-8 VPI\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003enetwork adapters, delivering up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e800Gb\/s\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eof throughput per port. This advanced networking architecture ensures seamless scaling across clusters, making it the ideal building block for NVIDIA DGX SuperPOD™ and BasePOD™ deployments.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTurnkey Enterprise AI:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eThe DGX B300 comes fully integrated with the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA AI Enterprise\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esoftware suite, providing a pre-optimized stack for generative AI, data science, and computer vision. From the operating system to the drivers and frameworks, every component is tuned for maximum performance and reliability, allowing your team to focus on innovation rather than infrastructure management.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"power-%26-cooling-infrastructure\" tabindex=\"-1\"\u003e\u003cstrong\u003ePower \u0026amp; Cooling Infrastructure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Density Power Architecture:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eThe system is engineered for maximum performance with a robust power subsystem capable of handling a peak consumption of approximately\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e14kW\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eper node. It supports flexible power configurations, including N+N redundancy with up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e12 power supply units (PSUs)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eor direct connection to rack busbars for streamlined data center integration.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThermal Management Options:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eTo accommodate diverse data center environments, the platform is available in both\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eair-cooled (8U)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eliquid-cooled (4U)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003econfigurations. The liquid-cooled variant leverages direct-to-chip technology to capture significant heat loads, enabling higher rack densities and improved energy efficiency for large-scale deployments.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"software-%26-ecosystem\" tabindex=\"-1\"\u003e\u003cstrong\u003eSoftware \u0026amp; Ecosystem\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA Base Command \u0026amp; Mission Control:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIntegrated management software simplifies the orchestration of AI workloads, providing a unified view of cluster health, job scheduling, and resource utilization.\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Mission Control\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eenhances operational agility by automating essential tasks and ensuring infrastructure resiliency for AI factories at scale.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFull-Stack Optimization:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eThe system ships with the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA DGX OS\u003c\/strong\u003e, which includes a tuned Linux kernel, optimized drivers, and the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Container Toolkit\u003c\/strong\u003e. This pre-installed stack ensures out-of-the-box readiness for rapid deployment of containerized AI applications and seamless integration with MLOps workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":44808597143621,"sku":"D0B3-G2304+P2CMI36","price":1.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0667\/7666\/2085\/files\/EXX-IMG-9371902.webp?v=1774264682"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0667\/7666\/2085\/collections\/AI_Hobbyists_Indie_ML_Engineers.jpg?v=1775807368","url":"https:\/\/smttr.com\/collections\/nvidia-dgx-systems.oembed","provider":"SMTTR - Standard Matter","version":"1.0","type":"link"}