NVIDIA HGX B200 8-GPU
baseboard
8× B200
NVSwitch + NVLink
2025
FP64
0.3
PFLOPS
FP32
0.6
PFLOPS
Power
10.2
kW Total
Memory
1475
GB Total
FP64
0.30
PFLOPS
FP32
0.60
PFLOPS
TF32
8.80
PFLOPS
FP16
18.00
PFLOPS
System Details
GPU Configuration
GPU Model: NVIDIA
B200
SXM 180GB
GPU Count: 8 GPUs
Architecture: Blackwell
Interconnect: NVSwitch + NVLink
System Specifications
Form Factor: baseboard
Total Power: 10.2 kW
Total Memory: 1475 GB
Memory Bandwidth: 64000 GB/s
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| FP64 | 0.296 PFLOPS | 37.0 TFLOPS | — |
| FP32 | 0.600 PFLOPS | 75.0 TFLOPS | — |
| TF32 | 8.800 PFLOPS | 1100.0 TFLOPS | — |
| FP16 | 18.000 PFLOPS | 2250.0 TFLOPS | — |
| BF16 | 18.000 PFLOPS | 2250.0 TFLOPS | — |
| FP8 | 36.000 PFLOPS | 4500.0 TFLOPS | — |
| FP4 | 72.000 PFLOPS | 9000.0 TFLOPS | — |
| INT8 | 36.000 PFLOPS | 4500.0 TFLOPS | — |
Powered by NVIDIA B200
This system utilizes 8 × 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
Large Language Model Training
Distributed Deep Learning
Multi-GPU Inference
HPC Simulations
Scientific Computing
The NVIDIA HGX B200 8-GPU with 8× B200 GPUs is designed for enterprise-scale workloads requiring 0.3 PFLOPS of compute power with NVSwitch + NVLink interconnect for efficient multi-GPU communication.