HPE Compute XD690 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

SpecificationHPE Compute XD690NVIDIA DGX B300
VendorHPENVIDIA
Part numberS6G97A
Form factorrackrack
Released20252025
Accelerator8x B3008x B300
Aggregate memory2.1 TB2.1 TB
Aggregate bandwidth64.0 TB/s64.0 TB/s
System power14.3 kW14.0 kW
InterconnectNVLink 5.0 / NVSwitch 4.0 across the HGX B300 baseboard; 8x NVIDIA ConnectX-8 for InfiniBand XDR or Spectrum-X Ethernet scale-outNVSwitch + NVLink

Rows shown in grey are identical between the two.

HPE Compute XD690

A 10U air-cooled single-node chassis carrying eight NVIDIA Blackwell Ultra SXM6 GPUs on the HGX B300 baseboard, which HPE names directly in the orderable part S6A37A. Two Intel Xeon 6 processors with P-cores drive it, either the 6776P or the 6767P, both 64-core at 350 W, with up to 32 DDR5 DIMMs and a minimum system memory of 2,048 GB running at 5,200 MT/s in the two-DIMM-per-channel configuration HPE recommends for performance. Scale-out is eight ConnectX-8 adapters supporting InfiniBand XDR or Spectrum-X Ethernet, with storage of eight E1.S drives and two M.2. Power comes from twelve fixed 3,200 W Titanium supplies in an N+N redundant arrangement, and HPE rates the machine at 14.3 kW continuous and 16.4 kW peak. Air cooling a Blackwell Ultra system of this density is unusual and it shows in the mechanicals: the chassis weighs 226 kg, ships pre-racked by default, and HPE requires a server lift on site before its engineers will service it. HPE describes it as delivering 50 percent higher FP4 performance than the prior Blackwell generation but publishes no FLOPS figure of its own, so the compute shown is NVIDIA's specification for the HGX B300 board rather than an HPE claim.

Vendor product page

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 page