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

  • Marca: Nvidia
  • Modelo: GB200-NVL72
Condition
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Vista Geral

Nvidia GB200-NVL72 Vista Geral

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

Certificações de qualidade

  • ISO 14001
  • ISO 9001
  • RoHS
  • REACH
  • CE
  • FCC
Especificação

Nvidia GB200-NVL72 Especificação

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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