NVIDIA DGX B300 vs NVIDIA HGX B300 8-GPU
Accelerator configuration, aggregate memory, bandwidth and power, side by side.
Specifications
| Specification | NVIDIA DGX B300 | NVIDIA HGX B300 8-GPU |
|---|---|---|
| Vendor | NVIDIA | NVIDIA |
| Part number | — | — |
| Form factor | rack | baseboard |
| Released | 2025 | 2025 |
| Accelerator | 8x B300 | 8x B300 |
| Aggregate memory | 2.1 TB | 2.1 TB |
| Aggregate bandwidth | 64.0 TB/s | 64.0 TB/s |
| System power | 14.0 kW | — |
| Interconnect | NVSwitch + NVLink | NVLink 5.0 / NVSwitch 4.0 |
Rows shown in grey are identical between the two.
NVIDIA DGX B300
Eight Blackwell Ultra SXM GPUs on the HGX B300 baseboard with Intel Xeon 6776P processors, in a 10U chassis. NVIDIA quotes 144 PFLOPS of FP4 inference performance for this machine, which is the sparse figure; the dense equivalent is 108 PFLOPS, and both are recorded. Power is given by NVIDIA as approximately 14 kW.
Vendor product pageNVIDIA 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.
Vendor product page