GB200-NVL72, Nvidia GB200 System, NVL72/72x GPUs

  • Brand: Nvidia
  • Model: GB200-NVL72
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    Overview

    Nvidia GB200-NVL72 Overview

    The NVIDIA GB200-NVL72 is a rack-scale AI system engineered for extreme data center performance, bringing together 36 NVIDIA Grace CPUs and 72 NVIDIA Blackwell GPUs in a single 72-GPU NVLink domain. This NVIDIA server is liquid cooled to efficiently sustain trillion-parameter AI training and inference workloads for hyperscale cloud providers, research institutions, and large enterprises. Its tightly integrated architecture minimizes latency, maximizes throughput, and accelerates deployment of next-generation generative AI models.

    Product Highlights

    72 GPUs
    Blackwell GPUs
    36 CPUs
    Grace CPUs
    72-GPU
    NVLink Fabric

    Product Applications Scenarios

    Data Center
    The GB200-NVL72 consolidates massive AI compute into dense racks, reducing footprint while delivering predictable latency for shared data center AI clusters.
    Cloud Services
    Cloud providers can expose high-performance AI instances for training and inference, improving GPU utilization and lowering cost per model run.
    AI Technologies
    Trillion-parameter models train efficiently on the unified NVLink domain, shortening experimentation cycles and boosting AI innovation velocity.

    Product Features Comparison

      NVIDIA HPE AMD Huawei
    Model GB200-NVL72 DL560 GEN 11, HPE DL560 Gen11 Rack Server, 2×6416H/2×32G/2×960G SAS SSD EPYC-9755-128C iSOC5000-2C32G, Huawei iSOC5000, Security Management Appliance, 2*Quad Core CPU, 32G Memory, Log Management
    Brand NVIDIA HPE AMD Huawei
    Processor Model n/a 2*6416H AMD EPYC 9755 2 × Quad-Core
    Memory Capacity n/a 2*32G n/a 32GB
    Drive Bay Configuration n/a 2*960G SAS SSD n/a HW Storage Node
    Expansion Slots n/a 1*408i-o n/a PCIe slots
    Power Supply n/a 2*800W n/a Redundant power supply

    Optional Add-ons

    Model Number Description
    BCM957508-P2100G Broadcom 100GbE dual-port PCIe 4.0 server NIC for high-throughput fabric connectivity
    Ascend-910 Huawei Ascend-910 AI processor module for heterogeneous training clusters
    FILE-2C48G-8F8-AC Huawei OceanStor file engine with 48GB cache and 8×8Gbps FC for AI data storage backends

    Quality Certifications

    • ISO 14001
    • ISO 9001
    • RoHS
    • REACH
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    Specification

    Nvidia GB200-NVL72 Specification

    Model
    GB200-NVL72
    Brand
    NVIDIA
    System Type
    Rack-scale AI system
    CPU Configuration
    36 NVIDIA Grace CPUs
    GPU Configuration
    72 NVIDIA Blackwell GPUs
    Cooling Method
    Liquid cooled design
    NVLink Domain
    Single 72-GPU NVLink domain
    Primary Workloads
    Designed for trillion-parameter AI training and inference

    Get more information

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