nvidia gb300 nvl72 48u rack solution
nvidia gb300 nvl72 48u rack solution in bangladesh
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NVIDIA GB300 NVL72 48U Rack Solution

877,500,000

Key Features

  • NVIDIA GB300 NVL72 Rack Solution
  • 72 B300 GPUs, 36 Grace CPUs
  • 288GB HBM3e per GPU
  • Direct Liquid-Cooling, –40% power
  • Up to 800Gb/s InfiniBand / Ethernet
  • 1.8TB/s GPU-to-GPU NVLink

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Technical Specifications

Compute

GPUs72× NVIDIA B300 (via GB300 Grace Blackwell Superchips)CPUs36× NVIDIA Grace CPUsNodes18× 1U ARS-121GL-NB3

Memory & Storage

GPU Memory288GB HBM3e per GPU / Up to 21TB totalSystem MemoryUp to 17TB LPDDR5XStorage BaysUp to 144× E1.S PCIe 5.0

Networking

Compute FabricNVIDIA Quantum-X800 InfiniBand or Spectrum-X EthernetNICNVIDIA ConnectX-8 SuperNICs — up to 800Gb/sIn-Band MgmtUp to 200Gb/s via NVIDIA BlueField-3 DPUsOut-of-Band Mgmt1G / 10G EthernetGPU Interconnect9× NVLink Switch — 1.8TB/s GPU-to-GPU

Power

PSU Configuration8× 1U 33kW units (6× 5.5kW PSUs each)Total Rack Power132kW

Liquid Cooling

In-Rack CDUUp to 250kW, N+1 redundant pumps, dual hot-swapIn-Row CDUUp to 1.8MW, N+1 redundant (supports up to 8 racks)L2A Sidecar CDUUp to 200kW, N+1 redundant, no facility water required

Enclosure

Rack Size48U, 19" widthDimensions (W×D×H)600 × 1068 × 2236 mm

Warranty Information

WarrantyAs per NVIDIA Standard Policy

Product Description

Get NVIDIA GB300 NVL72 48U Rack Solution in Bangladesh

Is your AI training infrastructure bottlenecking multi-trillion parameter models? The NVIDIA GB300 NVL72 48U Rack Solution delivers rack-scale compute power that redefines what a single 48U chassis can do for enterprise AI and deep learning workloads.

This is not just another GPU server. It is a full-system liquid-cooled supercomputing platform — engineered for organizations that cannot afford to wait.

What Is the NVIDIA GB300 NVL72? A Rack-Scale AI Powerhouse

The GB300 NVL72 is a complete rack-scale solution built around 72 NVIDIA B300 GPUs and 36 NVIDIA Grace CPUs, all delivered through the NVIDIA GB300 Grace Blackwell Superchip architecture. Each GPU carries 288GB of HBM3e memory, pushing total Graphics Processing Unit memory to an extraordinary 21TB per rack.

With 17TB of LPDDR5X system memory and up to 144 E1.S PCIe 5.0 drive bays, this rack handles data pipelines that would overwhelm conventional server clusters. It is purpose-built for large-scale AI training, inference, and deep learning at the frontier.

Key Features of the NVIDIA GB300 NVL72 48U Server Rack

72 NVIDIA B300 GPUs with NVLink at 1.8 TB/s

Where the NVIDIA GB200 NVL72 48U Rack Solution introduced the Grace Blackwell architecture to the market, the GB300 NVL72 pushes it further — with Blackwell Ultra silicon, higher HBM3e capacity per GPU, and improved memory bandwidth that directly addresses the memory saturation issues teams faced on GB200-based deployments.288GB HBM3e Per GPU — Up to 21TB Total

Memory-bound workloads finally have a home. With 288GB HBM3e per B300 GPU, the NVL72 rack gives AI engineers room to fit enormous model states without spilling to slower storage tiers. For LLM inference at scale, this memory depth changes the performance equation entirely.

Direct Liquid Cooling — Up to 40% Power Cost Reduction

Air cooling at 132kW is not viable. The GB300 NVL72 uses direct liquid cooling with an in-rack CDU rated at 250kW capacity, featuring redundant PSUs and dual hot-swap pumps. This architecture cuts data center electricity costs by up to 40% compared to air-cooled alternatives — a meaningful operational saving across a multi-rack deployment.

For large deployments, in-row CDU options scale up to 1.8MW capacity supporting up to 8 racks simultaneously.

NVIDIA Quantum-X800 InfiniBand and Spectrum-X Ethernet at 800Gb/s

Network fabric is never an afterthought here. The compute fabric supports NVIDIA Quantum-X800 InfiniBand or NVIDIA Spectrum-X Ethernet, both with integrated NVIDIA ConnectX-8 SuperNICs delivering up to 800Gb/s per link. In-band management runs at up to 200Gb/s via NVIDIA BlueField-3 DPUs, while out-of-band management uses standard 1G/10G Ethernet.

End-to-End Deployment Service

PCB Store provides comprehensive service for this platform in Bangladesh — from initial consultation and network planning through full-scale deployment, on-site installation, and parts provisioning. Buyers receive a complete, ready-to-run rack, not a box of components.

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Who Should Deploy the NVIDIA GB300 NVL72?

AI and Deep Learning Training Workloads

This rack targets organizations running foundation model training, large-scale fine-tuning, or distributed inference at the multi-GPU scale. Research labs, AI cloud providers, and enterprises building proprietary LLMs will find the 72-GPU NVLink fabric particularly valuable.

High-Performance Data Centers in Bangladesh

Data centers in Bangladesh operating GPU cluster infrastructure for AI services benefit from the liquid cooling system. The 40% electricity cost reduction has direct ROI implications in markets where power costs are a primary operational concern.

Organizations Needing Scalable Networking

Teams requiring flexible interconnect — whether InfiniBand for HPC workloads or Ethernet for cloud-native AI — get both options in a single platform. The BlueField-3 DPU layer adds programmable networking and accelerated in-band management.

Liquid Cooling Options for the NVIDIA GB300 NVL72

Three liquid cooling configurations are available:

  • In-Rack CDU — 250kW capacity, N+1 redundant pumps, integrated within the 48U enclosure
  • In-Row CDU — 1.8MW capacity, N+1 redundant pumps, supports up to 8 racks simultaneously
  • L2A Sidecar CDU — 200kW capacity, N+1 redundant pumps, requires no facility water connection

Each option carries N+1 pump redundancy — protecting uptime in production environments where thermal failure is not an option.

Reliability and Warranty

The NVIDIA GB300 NVL72 48U Rack Solution is a tier-one enterprise system. It ships with manufacturer-backed hardware warranty coverage and is supported through PCB Store's professional services team in Bangladesh. Redundant PSUs (6x 5.5kW per power shelf), hot-swap CDU pumps, and N+1 cooling redundancy reflect the design philosophy: eliminate single points of failure before they become outages.

NVIDIA GB300 NVL72 48U Price in Bangladesh — Available at PCB Store

The NVIDIA GB300 NVL72 48U Rack Solution is available for enterprise purchase through PCB Store — Bangladesh's authorized source for server barebones and enterprise AI infrastructure. Pricing for this rack-scale system is configured based on deployment scope, networking options, and service requirements.

Contact PCB Store directly for a formal quotation, lead time estimate, and site readiness consultation. Given global allocation constraints on the Blackwell Ultra platform, early engagement is strongly recommended. This is an enterprise procurement — request pricing now to lock in your position.

Delivery Charge Info

Inside Dhaka: 1,500

Outside Dhaka: 2,500

FAQs

  • What is the total GPU memory of the NVIDIA GB300 NVL72?

    The GB300 NVL72 provides up to 21TB of HBM3e memory across 72 NVIDIA B300 GPUs, with each GPU carrying 288GB of HBM3e.

  • How many CPUs does the GB300 NVL72 rack include?

    The rack includes 36 NVIDIA Grace CPUs, delivered through 18 NVIDIA GB300 Grace Blackwell Superchips at 2 Grace CPUs per Superchip.

  • What is the GPU-to-GPU interconnect bandwidth on the GB300 NVL72?

    NVLink switches provide 1.8TB/s GPU-to-GPU interconnect bandwidth across all 72 GPUs in the rack.

  • Is the NVIDIA GB300 NVL72 compatible with InfiniBand networking?

    Yes. It supports NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum-X Ethernet, both delivering up to 800Gb/s compute fabric with ConnectX-8 SuperNICs.

  • What storage options does the GB300 NVL72 support?

    The rack supports up to 144 E1.S PCIe 5.0 drive bays, enabling high-throughput local NVMe storage for data-intensive AI pipelines.

  • NVIDIA GB300 NVL72 vs NVIDIA HGX H100 — which is better for LLM training?

    The GB300 NVL72 offers far greater memory capacity (21TB vs ~640GB), wider NVLink bandwidth (1.8TB/s), and a newer Blackwell Ultra architecture — making it significantly more capable for frontier LLM training at rack scale.

  • Can the GB300 NVL72 support multi-rack liquid cooling?

    Yes. The in-row CDU option scales up to 1.8MW, supporting up to 8 racks from a single cooling unit with N+1 pump redundancy.

  • What power does the NVIDIA GB300 NVL72 consume?

    Total rack power is 132kW, supplied by 8x 1U 33kW power shelves, each with 6x 5.5kW PSUs in a redundant configuration.

  • What is the price of the NVIDIA GB300 NVL72 48U Rack Solution at PCB Store in Bangladesh?

    PCB Store in Bangladesh offers this enterprise rack on a quotation basis. Contact PCB Store directly for current pricing, lead times, and deployment service packages tailored to your infrastructure needs.

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