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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.
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.
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.
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.
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.
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.
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.
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.
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.
Three liquid cooling configurations are available:
Each option carries N+1 pump redundancy — protecting uptime in production environments where thermal failure is not an option.
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.
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.
Inside Dhaka: ৳1,500
Outside Dhaka: ৳2,500
The GB300 NVL72 provides up to 21TB of HBM3e memory across 72 NVIDIA B300 GPUs, with each GPU carrying 288GB of HBM3e.
The rack includes 36 NVIDIA Grace CPUs, delivered through 18 NVIDIA GB300 Grace Blackwell Superchips at 2 Grace CPUs per Superchip.
NVLink switches provide 1.8TB/s GPU-to-GPU interconnect bandwidth across all 72 GPUs in the rack.
Yes. It supports NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum-X Ethernet, both delivering up to 800Gb/s compute fabric with ConnectX-8 SuperNICs.
The rack supports up to 144 E1.S PCIe 5.0 drive bays, enabling high-throughput local NVMe storage for data-intensive AI pipelines.
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.
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.
Total rack power is 132kW, supplied by 8x 1U 33kW power shelves, each with 6x 5.5kW PSUs in a redundant configuration.
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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