NVIDIA GB200 NVL72 Rack System

NVIDIA GB200 NVL72 Rack System

Brand: NVIDIA | Category: Servers

SKU: NVIDIA-GB200-NVL72 | Part #: GB200-NVL72 | MPN: GB200-NVL72

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About the NVIDIA GB200 NVL72 Rack System

The NVIDIA GB200 NVL72 Rack System from NVIDIA is enterprise-grade Servers hardware built for data centers. It features Rack-Mount form factor, NVLink interface. The NVIDIA GB200 NVL72 is a full-rack AI supercomputer that integrates 36 Grace CPU modules and 72 Blackwell GPU dies into a single, unified NVLink-connected system. Built on the NVIDIA Blackwell architecture, each rack combines 36 GB200 Superchips—each pairing one Grace Arm CPU with two B200 Blackwell GPU dies—into a fabric delivering 1.44 ExaFLOPS of AI compute at FP4 precision. The NVLink Switch system connects all 72 GPUs with 130TB/s of all-to-all GPU bandwidth, eliminat Available in brand new condition. NVIDIA servers products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.

Technical Specifications

BrandNVIDIA
CategoryServers
SKUNVIDIA-GB200-NVL72
Part NumberGB200-NVL72
ConditionNew
Form FactorRack-Mount
InterfaceNVLink
Manufacturer Part NumberGB200-NVL72
Product LineNVIDIA GB200 NVL72
GPU ArchitectureNVIDIA Blackwell
Total GPUs per Rack72 (B200 Blackwell GPU dies)
Total CPUs per Rack36 (NVIDIA Grace Arm CPUs)
Superchip Configuration36 × GB200 Superchips (each: 1 Grace CPU + 2 B200 GPU dies)
AI Compute (FP4 Tensor Core)1.44 ExaFLOPS per rack
AI Compute (FP8 Tensor Core)720 PFLOPS per rack
NVLink Bandwidth (All-to-All)130 TB/s aggregate NVLink Switch fabric
GPU Memory TypeHBM3e
Total HBM3e Memory per Rack13.5 TB
GPU Memory Bandwidth per RackApproximately 1.44 PB/s aggregate
CPU Memory (Grace LPDDR5X) per RackUp to 2.16 TB aggregate
Interconnect FabricNVIDIA NVLink 5 with NVLink Switch (fifth generation)
CoolingDirect liquid cooling (rack-integrated)
Form FactorFull rack system
Network ConnectivityNVIDIA ConnectX-7 / BlueField-3 infrastructure (per rack configuration)
Software EcosystemNVIDIA AI Enterprise, CUDA, NeMo, TensorRT-LLM, cuDNN
Precision SupportFP4, FP8, FP16, BF16, TF32, FP32, FP64
Target WorkloadsLLM pre-training and fine-tuning, multi-modal AI inference, HPC simulation

Frequently Asked Questions about NVIDIA GB200 NVL72 Rack System

What is the NVIDIA GB200 NVL72 Rack System?

The NVIDIA GB200 NVL72 Rack System is a brand new servers product manufactured by NVIDIA. It has the SKU NVIDIA-GB200-NVL72 and part number GB200-NVL72. This enterprise-grade product is available from Omnixon Global.

What are the key specifications of the NVIDIA GB200 NVL72 Rack System?

The key specifications of the NVIDIA GB200 NVL72 Rack System include: Launch Date: 2025-Q1, Manufacturer: NVIDIA, Part Number: GB200-NVL72, Category: Server, support: 3 years standard (manufacturer), Origin: Genuine product, distribution. Form factor: Rack-Mount. For complete specifications and technical documentation, please contact our sales team.

Where can I buy the NVIDIA GB200 NVL72 Rack System?

You can buy the NVIDIA GB200 NVL72 Rack System from Omnixon Global, a trusted enterprise IT hardware supplier. We serve enterprises in over 100 countries. Request a quote through our website or contact our sales team directly.

What technical support is available for the NVIDIA GB200 NVL72 Rack System?

Yes, the NVIDIA GB200 NVL72 Rack System is fully supported by Omnixon Global. We provide dedicated technical support including installation guidance, configuration assistance, and troubleshooting. Contact our team for specific support terms and service level agreements.

Is the NVIDIA GB200 NVL72 Rack System compatible with my existing infrastructure?

The NVIDIA GB200 NVL72 Rack System by NVIDIA is designed for enterprise environments and is compatible with standard servers configurations. It features a Rack-Mount form factor. For specific compatibility questions with your existing NVIDIA infrastructure, our technical team can provide detailed compatibility assessments. Contact us for a free consultation.