72-GPU NVLink Domain
All 72 Blackwell GPUs communicate at 130 TB/s via the largest NVLink Switch System ever built — enabling trillion-parameter models to run as if on a single massive GPU.
The Exascale Computer in a Single Rack.
NVIDIA GB200 NVL72 connects 72 Blackwell GPUs and 36 Grace CPUs in a single fully liquid-cooled rack — delivering 130 TB/s NVLink bandwidth, 30× faster LLM inference vs H100, and 720 PFLOPS FP8 training in the most powerful AI rack system ever built.
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All 72 Blackwell GPUs communicate at 130 TB/s via the largest NVLink Switch System ever built — enabling trillion-parameter models to run as if on a single massive GPU.
Delivers sub-50ms token latency for trillion-parameter language models — a performance level impossible for any prior infrastructure to achieve in real time.
Direct liquid cooling increases compute density, eliminates air constraints, and achieves 25× better performance per watt vs H100 air-cooled systems.
NVLink-C2C at 900 GB/s creates coherent CPU-GPU memory with 17 TB unified address space — eliminating PCIe bottleneck entirely for data-intensive AI workloads.
720 PFLOPS sparse FP8 training per NVL72 rack — equivalent to over 100 DGX H100 nodes concentrated in a single, manageable rack-scale system.
Scale multiple NVL72 racks via NVIDIA Quantum-X800 InfiniBand or Spectrum-X800 Ethernet for petaflop AI factory clusters managed by Mission Control.
GB200 NVL72 is the core unit of DGX SuperPOD — the world's most advanced AI factory, used by leading research organisations, pharma firms, and global enterprises.
NVLink-C2C and Blackwell's decompression engines accelerate critical database queries 18× vs CPU — combining AI inference and enterprise analytics in one system.
NVIDIA GB200 NVL72 is not an incremental GPU server improvement — it is a fundamental reimagining of enterprise AI infrastructure. Connecting 72 Blackwell GPUs and 36 Grace CPUs in a single fully liquid-cooled rack with 130 TB/s NVLink bandwidth makes all 72 GPUs operate as a single massive GPU — eliminating the communication bottlenecks that fragment performance in traditional multi-node clusters.
The performance implications are extraordinary: 30× faster real-time LLM inference compared to H100 infrastructure — enabling trillion-parameter model responses at sub-50ms latency. 4× faster training throughput at scale. And 25× less energy per unit of AI output versus H100 air-cooled systems. This is what makes GB200 NVL72 the foundation of the world's most advanced AI factories.
Grace CPUs and Blackwell GPUs connect via NVLink-C2C creating a coherent 17 TB unified memory space — eliminating the PCIe bottleneck entirely. GB200 NVL72 is deployed as the core building block of DGX SuperPOD, powering AI factories at leading research institutions, pharmaceutical companies, automotive manufacturers, and financial services firms globally — at 8 of the top 10 global telcos, 7 of the top 10 pharmas, and all 10 top universities.
30× faster real-time inference enables trillion-parameter models to serve production traffic at sub-50ms latency — the infrastructure behind next-generation AI products.
Train 1.8T parameter MoE models 4× faster than H100 clusters with dramatically lower energy cost — the platform behind the world's most advanced AI labs.
Climate modelling, drug discovery, particle physics — GB200 NVL72 provides exascale computing density for the world's most demanding science.
Deploy one NVL72 rack as an AI Centre of Excellence or scale to dozens of racks for national-scale AI infrastructure via DGX SuperPOD.
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