NVIDIA GB200 NVL72 48U Rack solution

Product Description

NVIDIA GB200 NVL72 48U Rack Solution

72 GPUs. 36 Grace CPUs. One rack that rewrites what AI infrastructure looks like — is the NVIDIA GB200 NVL72 the most powerful rack-scale AI system available today?

The answer is hard to argue with. Powering next-generation AI training and inference workloads at a scale that single-node systems simply cannot match, the NVIDIA GB200 NVL72 48U Rack Solution brings petaflop-class AI compute to the data center floor. Whether you're scaling large language models, running real-time deep learning inference, or building a sovereign AI cluster in Bangladesh, this rack-scale system sets the benchmark. While the NVIDIA GB300 NVL72 48U Rack Solution is slated as the future successor, the GB200 NVL72 remains the proven, deployable platform for enterprise AI today.

PCB Store brings this fully integrated liquid-cooled rack solution to Bangladesh — giving AI infrastructure teams access to tier-one compute at enterprise deployment scale.

What Is the NVIDIA GB200 NVL72? Rack-Scale AI Architecture Explained

The GB200 NVL72 is not a server. It is a full rack-scale AI system built around the NVIDIA GB200 Grace™ Blackwell Superchip. Each rack integrates 72 NVIDIA B200 GPUs and 36 NVIDIA Grace CPUs through 18 nodes (18x 1U ARS-121GL-NBO), all housed in a 48U, 19"-width enclosure.

This is purpose-built hardware for AI/Deep Learning training and inference at scale — not a general-purpose server rack wearing a GPU badge.

NVIDIA GB200 NVL72 Full Specifications at a Glance

Rack-Level Compute:

• GPUs: 72 NVIDIA B200 GPUs via NVIDIA GB200 Grace Blackwell Superchips
• CPUs: 36 NVIDIA Grace CPUs via NVIDIA GB200 Grace Blackwell Superchips
• GPU Memory: Up to 13.4 TB HBM3e
• System Memory: Up to 17 TB LPDDR5X
• Storage: 144 E1.S PCIe 5.0 drive bays

Networking (Compute Fabric):

• Up to 400Gb/s NVIDIA Quantum-2 InfiniBand or Spectrum-X Ethernet
• Adapters: NVIDIA ConnectX-7 or BlueField-3 SuperNICs
• In-Band Management: Up to 200Gb/s with NVIDIA BlueField-3 DPUs
• Out-of-Band: 1G/10G Ethernet management

Internal GPU Interconnect:

• 9x NVLink Switch, 4-ports per compute tray
• 1.8 TB/s GPU-to-GPU interconnect bandwidth

Power:

• 8x 1U 33kW PSU blocks (6x 5.5kW PSUs each)
• Total rack power: 132kW

Enclosure:

• 48U, 19" width
• Dimensions: W 600 x D 1068 x H 2236 mm

Key Features That Make the GB200 NVL72 a Category Leader

1. Grace Blackwell Superchip — Unified CPU-GPU Architecture

Each GB200 Superchip pairs one NVIDIA Grace CPU with two NVIDIA B200 GPUs on a single module. This tight integration slashes memory bottlenecks. The chip-to-chip bandwidth that would normally throttle AI workloads is handled internally — before data hits the rack fabric.

2. 13.4 TB of HBM3e GPU Memory

Memory capacity is the ceiling for model size. With 13.4 TB of HBM3e spread across 72 B200 GPUs, the NVL72 rack can hold trillion-parameter models in-memory — without model parallelism hacks or off-chip swapping that slow training runs.

3. 1.8 TB/s GPU-to-GPU Interconnect via NVLink Switch

The 9 NVLink Switch modules connect all 72 GPUs at 1.8 TB/s aggregate. That is not a theoretical peak — it is a rack-wide flat interconnect. No GPU is more than one hop from any other. Collective operations like AllReduce run at near-linear efficiency at rack scale.

4. Direct Liquid Cooling — Up to 40% Electricity Cost Reduction

At 132kW total rack power, air cooling is not viable. Nvidia's direct liquid cooling handles the full thermal load with a 250kW in-rack CDU — featuring redundant PSU and dual hot-swap pumps. Data centers without a cooling tower or water supply can deploy 180kW–240kW liquid-to-air solutions instead. The result is up to 40% lower electricity cost for the data center.

5. 400Gb/s Advanced Networking Ready

Scale-out AI clusters need fast fabric. The NVL72 supports NVIDIA Quantum-2 InfiniBand or Spectrum-X Ethernet at up to 400Gb/s per port. Pick InfiniBand for MPI-heavy distributed training. Pick Spectrum-X for converged Ethernet environments. Both are supported natively.

Who Should Deploy the GB200 NVL72 Rack?

This system targets a specific class of workload:

• AI/Deep Learning Training: Pre-training and fine-tuning large language models, multimodal models, and scientific AI at scale
• High-Performance Inference: Real-time serving of large models with sub-second latency requirements
• Government and Sovereign AI Clusters: National AI infrastructure projects requiring full data sovereignty
• HPC + AI Hybrid Workloads: Scientific computing pipelines that blend simulation with neural inference

For teams in Bangladesh building national AI infrastructure or enterprise-grade AI platforms, PCB Store provides consultation through full-scale deployment — including all necessary parts, networking solutions, and onsite installation services.

Liquid Cooling Infrastructure Options for the NVL72

Not every facility has a cooling tower or direct water supply. addresses this directly with three deployment paths:

• 1x In-Rack CDU — 250kW capacity, redundant PSU, dual hot-swap pumps (default configuration)
• In-Row CDU — 1.3MW capacity for multi-rack deployments at hyperscale
• Liquid-to-Air Solutions — 180kW or 240kW configurations for facilities without cooling tower infrastructure

This flexibility means the NVL72 rack deploys in purpose-built data centers and modernized colocation facilities alike.

Reliability, Support, and Comprehensive Deployment Services

Nvidia's end-to-end service model covers the full lifecycle of a GB200 NVL72 deployment:

• Pre-deployment consultation and rack planning
• Delivery of all necessary parts and networking hardware
• Onsite installation services at your facility
• Ongoing hardware support and firmware management

For organizations in Bangladesh purchasing server rack solutions at PCB Store, this deployment support model significantly reduces integration risk on first-generation Blackwell hardware.

Storage Architecture: 144 E1.S PCIe 5.0 Drive Bays

The 144 E1.S PCIe 5.0 drive bays provide checkpoint storage, dataset staging, and inference cache at rack level. PCIe 5.0 doubles the per-lane bandwidth of Gen 4 — critical when checkpointing trillion-parameter model states without stalling training runs.

Buy the NVIDIA GB200 NVL72 in Bangladesh at PCB Store

The NVIDIA GB200 NVL72 48U Rack Solution is available in Bangladesh through PCB Store — the specialist destination for server rack systems, NAS/Storage servers, Intel Xeon servers, and enterprise AI infrastructure. PCB Store offers competitive pricing, local procurement support, and deployment coordination for data center projects across Bangladesh.

Contact PCB Store directly for pricing, availability, and delivery lead times on the GB200 NVL72. Stock at this scale is allocation-based — organizations with active AI infrastructure projects should engage early to secure units in the current supply window.

This is infrastructure-grade hardware. Act on procurement timelines, not convenience windows.