Fujitsu PRIMERGY GX2580 M8s vs NVIDIA DGX B300
Both are built on the NVIDIA HGX B300 8-GPU baseboard, so their accelerator performance is identical rather than merely similar. The choice between them is chassis, cooling, expansion and supplier, not FLOPS.
What actually differs
| Specification | Fujitsu PRIMERGY GX2580 M8s | NVIDIA DGX B300 |
|---|---|---|
| Vendor | Fujitsu | NVIDIA |
| Part number | GX2580 M8s | — |
| Form factor | rack | rack |
| Released | — | 2025 |
| Accelerator | 8x B300 | 8x B300 |
| Aggregate memory | — | 2.1 TB |
| Aggregate bandwidth | — | 64.0 TB/s |
| System power | — | 14.0 kW |
| Interconnect | One NVIDIA SXM HGX B300 8-GPU baseboard integrating eight Blackwell Ultra SXM modules with high-speed interconnect; scale-out is eight NVIDIA ConnectX-8 OSFP 800GbE ports, alongside two 10GbE RJ45 on an Intel X710 | NVSwitch + NVLink |
Rows shown in grey are identical between the two.
Fujitsu PRIMERGY GX2580 M8s
Fujitsu's Blackwell Ultra machine, built on one NVIDIA SXM HGX B300 8-GPU baseboard integrating eight Blackwell Ultra SXM modules. Networking is the notable part: eight NVIDIA ConnectX-8 OSFP ports at 800GbE apiece, one per accelerator, so scale-out matches the baseboard rather than bottlenecking it. Hosting is two Intel Xeon 6700 or 6500P processors reaching 86 cores and 172 threads, with 32 DIMM slots taking up to 8 TB of DDR5-6400. Storage is eight hot-plug E1.S NVMe bays holding up to 123 TB plus two M.2 devices, and there are two front full-height half-length PCIe 5.0 x16 slots. The 8U chassis measures 483 by 980 by 356 mm and weighs up to 137 kg with rails, drawing from six 6,600 W Titanium supplies in 3+3 redundancy. Fujitsu states no total GPU memory, no throughput figure and no system power draw; baseboard performance is on the linked HGX B300 entry.
Vendor product pageNVIDIA 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 page