{"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","url":"https:\/\/smttr.com\/products\/nvidia-dgx-b300-server-8x-blackwell-ultra-gpu-288-gb-3-yr-business-standard-support-commercial","provider":"SMTTR - Standard Matter","version":"1.0","type":"link"}