NVIDIA HGX B300 8-GPU

baseboard
8× B300
NVLink 5.0 / NVSwitch 4.0
2025
FP64
0.0
PFLOPS
FP32
0.6
PFLOPS
Power
kW Total
Memory
2150
GB Total

The eight-GPU Blackwell Ultra baseboard OEMs build around. NVIDIA publishes both a dense and a sparse figure for every tensor precision here, and for FP4 the two are not a factor of two apart: dense rose by half over the B200, from 72 to 108 PFLOPS, while sparse stayed at 144. Total memory is NVIDIA's own 2.1 TB rather than the 2.304 TB that eight 288 GB GPUs would suggest. Memory bandwidth of 64 TB/s is the one derived number, being eight times the B300's published 8 TB/s, because NVIDIA gives no board-level HBM figure. No INT8 row is recorded: NVIDIA's table gives 3 POPS sparse for this board while our B300 chip entry implies 36 POPS dense, the two cannot both be right, and the question is open rather than guessed at. NVIDIA publishes no baseboard power figure, so total power is blank.

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Systems built on this design

3 configurations

NVIDIA HGX B300 8-GPU is the baseboard. The systems above are OEM implementations of it and share its accelerator performance; they differ in chassis, CPU, memory and cooling.

FP64
0.01
PFLOPS
FP32
0.60
PFLOPS
TF32
9.00
PFLOPS
FP16
18.00
PFLOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Blackwell Ultra
Interconnect: NVLink 5.0 / NVSwitch 4.0

System Specifications

Form Factor: baseboard
Total Power:
Total Memory: 2150 GB
Memory Bandwidth: 64000 GB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
0.010 PFLOPS 1.3 TFLOPS
0.600 PFLOPS 75.0 TFLOPS
9.000 PFLOPS 1125.0 TFLOPS
18.000 PFLOPS 2250.0 TFLOPS
18.000 PFLOPS 2250.0 TFLOPS
36.000 PFLOPS 4500.0 TFLOPS
108.000 PFLOPS 13500.0 TFLOPS
FP6 36.000 PFLOPS 4500.0 TFLOPS

All figures are dense. Vendors commonly headline the number, which is twice the dense one.

Powered by NVIDIA B300

This system utilizes 8 × NVIDIA B300 SXM 288GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

1400W

Per GPU Memory

288 GB

Process Node

4nm

Architecture

Blackwell Ultra

Documentation & Resources

Official Datasheet

NVIDIA HGX B300 8-GPU technical specifications

Download PDF

workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf

NVIDIA • 2025-10-16

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NVIDIA DGX Documentation

System guides, deployment resources

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Typical Use Cases

Large Language Model Training
Distributed Deep Learning
Multi-GPU Inference
HPC Simulations
Scientific Computing

The NVIDIA HGX B300 8-GPU runs 8× B300 GPUs over NVLink 5.0 / NVSwitch 4.0, delivering 36.0 PFLOPS FP8 dense.