NVIDIA DGX SuperPOD GB200
32-rack SuperPOD configuration with GB200 NVL72 systems
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 92.160 PFLOPS | 40.0 TFLOPS | 27.0 TFLOPS/kW | |
| 184.320 PFLOPS | 80.0 TFLOPS | 54.0 TFLOPS/kW | |
| 2880.000 PFLOPS | 1250.0 TFLOPS | 1500.0 TFLOPS/kW | |
| 5760.000 PFLOPS | 2500.0 TFLOPS | 2700.0 TFLOPS/kW | |
| 5760.000 PFLOPS | 2500.0 TFLOPS | 2700.0 TFLOPS/kW | |
| 11520.000 PFLOPS | 5000.0 TFLOPS | 5400.0 TFLOPS/kW | |
| 23040.000 PFLOPS | 10000.0 TFLOPS | 10800.0 TFLOPS/kW | |
| 11520.000 PFLOPS | 5000.0 TFLOPS | 5400.0 TFLOPS/kW |
Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.
Powered by NVIDIA B200
This system utilizes 2304 × NVIDIA B200 SXM 180GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
1000W
Per GPU Memory
180 GB
Process Node
4nm
Architecture
Blackwell
Documentation & Resources
Flopper Spec Sheet
NVIDIA DGX SuperPOD GB200 specifications, generated from our database. Printable.
Vendor product page
NVIDIA DGX SuperPOD GB200 documentation
workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf
NVIDIA • 2025-10-16
NVIDIA DGX Documentation
System guides, deployment resources
Typical Use Cases
The NVIDIA DGX SuperPOD GB200 runs 2304× B200 GPUs over NVLink, NVSwitch, InfiniBand, delivering 11.52 EFLOPS FP8 dense.