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Fujitsu PRIMERGY GX2580 M8s

rack
8× B300
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
FP64
10
TFLOPS
FP32
600
TFLOPS
Power
—
kW Total
Memory
—
GB Total

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.

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FP64
10
TFLOPS
FP32
600
TFLOPS
TF32
9,000
TFLOPS
FP16
18,000
TFLOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Blackwell Ultra
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

System Specifications

Form Factor: rack
Total Power: —
Total Memory: —
Memory Bandwidth: 64 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
10 TFLOPS 1.3 TFLOPS —
600 TFLOPS 75 TFLOPS —
9,000 TFLOPS 1,125 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
36,000 TFLOPS 4,500 TFLOPS —
108,000 TFLOPS 13,500 TFLOPS —
1,500 TOPS 188 TOPS —
FP6 36,000 TFLOPS 4,500 TFLOPS —

Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.

Powered by NVIDIA B300

This system utilizes 8 × NVIDIA B300 SXM 262GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

1400W

Per GPU Memory

263 GB

Process Node

4nm

Architecture

Blackwell Ultra

Documentation & Resources

Flopper Spec Sheet

Fujitsu PRIMERGY GX2580 M8s specifications, generated from our database. Printable.

Vendor product page

Fujitsu PRIMERGY GX2580 M8s documentation

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PRIMERGY GX2570 M8s カタログ (Fsas Technologies)

Fujitsu • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The Fujitsu PRIMERGY GX2580 M8s runs 8× B300 GPUs over 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, delivering 36,000 TFLOPS FP8 dense.

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