NVIDIA HGX B300 8-GPU
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 configurationsNVIDIA 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.
System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 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
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 HGX B300 8-GPU runs 8× B300 GPUs over NVLink 5.0 / NVSwitch 4.0, delivering 36.0 PFLOPS FP8 dense.