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NVIDIA GB200 NVL72

Designed for large-scale AI infrastructure, the GB200 NVL72 integrates 72 Blackwell GPUs using NVIDIA’s NVLink fabric and advanced direct-to-chip liquid cooling (DLC). It supports demanding workloads including large-scale model training, real-time LLM inference, HPC simulations, media processing, and data-intensive analytics.

High-Density Compute with GB200 Superchip Architecture

At its core, the NVL72 features 36 Grace CPUs and 72 Blackwell GPUs integrated into a unified, liquid-cooled rack-scale system. Powered by NVIDIA GB200 Superchips and full NVLink connectivity, it delivers up to 30× faster inference for trillion-parameter models—functioning as a single, high-performance GPU.

NVIDIA GB200 NVL72

Ideal Use Cases

Real-time trillion-parameter LLM inference

Massive-scale LLM training

Real-time generative AI

High-performance database acceleration

Scientific computing & simulation

AI-powered video & image generation

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GB200 NVL72 Key Features

  • 36 NVIDIA Grace CPUs
  • 72 NVIDIA Blackwell GPUs
  • Up to 17TB of LPDDR5X memory with ECC
  • Supports up to 13.4TB of HBM3E
  • Up to 30.4TB of fast-access memory
  • Support for NVIDIA Bluefield®-3 DPUs and ConnectX®-7 InfiniBand
  • NVLink domain: 130 TB/s of low-latency GPU communication

Engineered for Efficiency and Thermal Control

NVL72 is purpose-built for liquid-cooled operation, featuring custom cold plates and a high-capacity in-rack coolant distribution unit (CDU) capable of handling up to 250kW of thermal load. Its direct-to-chip design helps eliminate thermal bottlenecks and cuts electricity usage by as much as 40%—ideal for demanding AI and HPC environments. For data centers without chilled water infrastructure, optional liquid-to-air solutions offer a flexible, high-efficiency alternative.

GB200 NVL72 Rack-Scale Configuration

GB200 NVL72 Rack Specs

Why Buy NVL72 from Thinkmate?

  • Workload-Aligned Configuration – Our engineering team evaluates your specific compute, thermal, and power requirements to design an NVL72 deployment that maximizes performance without overprovisioning.
  • Infrastructure-Aware Customization – We tailor your system to match existing facility parameters — including power density, cooling capacity, and rack architecture — for seamless integration and efficiency.
  • Ongoing Optimization Support – From workload tuning to scaling guidance, we remain engaged post-deployment to help ensure consistent throughput and minimal operational disruption.
  • Trusted, U.S.-Based Technical Support – Our support team brings deep infrastructure expertise and is available throughout the system lifecycle — from initial planning through sustained operation — to help you meet performance and uptime goals.

Selecting the NVL72 through Thinkmate means working with a team that understands the complexity of AI infrastructure at scale. We provide expert guidance during system sizing and configuration, align deployment with your facility’s technical constraints, and offer long-term support to ensure sustained performance across evolving workloads.

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