NVIDIA DGX GB200 NVL72 rack-scale Grace Blackwell system with 72 Blackwell GPUs, 36 Grace CPUs, 13.4 TB HBM3e, NVLink, and NVIDIA DGX system software.
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NVIDIA DGX GB200 NVL72 | Rack-Scale AI System | DGX-GB200-NVL72
NVIDIA DGX GB200 NVL72 Rack-Scale AI System (DGX-GB200-NVL72)
NVIDIA DGX GB200 NVL72 is the DGX rack-scale implementation of Grace Blackwell NVL72. It integrates 72 Blackwell GPUs and 36 Grace CPUs into a liquid-cooled NVLink domain and adds NVIDIA’s DGX system software, release management, support, and deployment framework for large AI training and inference clusters.
Availability / RFQ: This product is a current NVIDIA platform or component and is listed for RFQ. Pricing, allocation, quantity, configuration, support, and lead time can vary with current channel conditions. Contact Catalyst Data Solutions to discuss current status, compatibility, configuration requirements, and sourcing options.
End-user / export compliance notice: Advanced AI accelerators and systems may be subject to applicable U.S. export controls, end-user/end-use restrictions, destination requirements, and OEM/channel policies. Catalyst may request purchaser, final end-user, intended-use, and deployment-location information before a quote or fulfillment can be approved. An RFQ does not guarantee allocation or shipment.
Technical Specifications
| SKU | DGX-GB200-NVL72 |
|---|---|
| Product Type | DGX Rack-Scale AI System |
| GPU / CPU Configuration | 72 Blackwell GPUs / 36 Grace CPUs |
| GPU Memory | 13.4 TB HBM3e |
| GPU Memory Bandwidth | 576 TB/s aggregate |
| NVLink Bandwidth | 130 TB/s rack-scale NVLink domain |
| CPU Memory | 17 TB LPDDR5X aggregate |
| Cooling | Liquid-cooled rack-scale architecture |
| Software | NVIDIA DGX system software stack and release-managed firmware/software |
| Availability Status | Available / RFQ |
Deployment and Compatibility Considerations
- Validate rack-scale liquid cooling, power, network cabling, CDU, facility water, and service access.
- Plan the scale-out Ethernet or InfiniBand network, optics, and switch fabric around the target number of racks.
- Size AI storage for training checkpoints, dataset ingest, and inference throughput.
- Coordinate DGX firmware/software release compatibility, management, support, and change control.
Common Use Cases
- Large Grace Blackwell AI factories
- LLM training and inference
- Hyperscaler and neocloud deployments
- DGX SuperPOD architectures
Frequently Paired Infrastructure
- Quantum-X800 or Spectrum-X800 networking
- BlueField-3 DPUs
- AI storage
- Rack-scale power and liquid cooling
- DGX management and support
Official NVIDIA Documentation
| product type | DGX Rack-Scale AI System |
|---|---|
| Platform / Architecture | NVIDIA Grace Blackwell GB200 NVL72 |
| Accelerator Configuration | 72 Blackwell GPUs / 36 Grace CPUs |
| Cooling Type | Liquid-Cooled Rack-Scale |
| Availability Status | Available / RFQ |
