NVIDIA GB200 NVL32
rack
32× B200
NVLink
2025
FP64
1.2
PFLOPS
FP32
2.4
PFLOPS
Power
53.3
kW Total
Memory
5760
GB Total
16 GB200 superchips (32 B200 GPUs + 16 Grace CPUs) in a rack-scale system
FP64
1.18
PFLOPS
27.0 TFLOPS/kW
FP32
2.40
PFLOPS
54.0 TFLOPS/kW
TF32
35.20
PFLOPS
1501.0 TFLOPS/kW
FP16
72.00
PFLOPS
2701.0 TFLOPS/kW
System Details
GPU Configuration
System Specifications
Form Factor: rack
Total Power: 53.3 kW
Total Memory: 5760 GB
Memory Bandwidth: 246400 GB/s
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| FP64 | 1.184 PFLOPS | 37.0 TFLOPS | 27.0 TFLOPS/kW |
| FP32 | 2.400 PFLOPS | 75.0 TFLOPS | 54.0 TFLOPS/kW |
| TF32 | 35.200 PFLOPS | 1100.0 TFLOPS | 1501.0 TFLOPS/kW |
| FP16 | 72.000 PFLOPS | 2250.0 TFLOPS | 2701.0 TFLOPS/kW |
| BF16 | 72.000 PFLOPS | 2250.0 TFLOPS | 2701.0 TFLOPS/kW |
| FP8 | 144.000 PFLOPS | 4500.0 TFLOPS | 5403.0 TFLOPS/kW |
| FP4 | 288.000 PFLOPS | 9000.0 TFLOPS | 10806.0 TFLOPS/kW |
| INT8 | 144.000 PFLOPS | 4500.0 TFLOPS | 5403.0 TFLOPS/kW |
Powered by NVIDIA B200
This system utilizes 32 × 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
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
AI/ML Training
High-Performance Computing
Data Analytics
The NVIDIA GB200 NVL32 with 32× B200 GPUs is designed for enterprise-scale workloads requiring 1.2 PFLOPS of compute power with NVLink interconnect for efficient multi-GPU communication.