Fujitsu PRIMERGY GX2580 M8s vs QCT QuantaGrid D75H-10U

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

SpecificationFujitsu PRIMERGY GX2580 M8sQCT QuantaGrid D75H-10U
VendorFujitsuQCT
Part numberGX2580 M8sD75H-10U
Form factorrackrack
Released
Accelerator8x B3008x B300
Aggregate memory
Aggregate bandwidth
System power
InterconnectOne 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 X710One NVIDIA HGX B300 8-GPU baseboard; scale-out is eight ConnectX-8 OSFP ports carrying 800G Ethernet or InfiniBand at one port per GPU for GPU-Direct RDMA

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 page

QCT QuantaGrid D75H-10U

QCT's 10U Blackwell Ultra server, built on the NVIDIA HGX B300 platform with two Intel Xeon 6 processors. Networking is eight ConnectX-8 OSFP ports at 800G, one per accelerator, for one-to-one GPU-Direct RDMA, and there is room for four full-height full-length PCIe Gen 5 slots. QCT quotes 72 PFLOPS of FP8 and 144 PFLOPS of FP4 without saying whether either is dense or sparse. Both match NVIDIA's sparse figures for this baseboard exactly, and neither matches the dense figures of 36 and 108, so they are recorded as sparse. Worth noting QCT calls the FP8 number a training figure, which would normally imply dense; the number itself settles the basis, not the label. Power is twelve 3,200 W supplies in N+N redundancy, which is capacity rather than draw, so no system power is shown.

Vendor product page