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.
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Systems built on this design
11 configurationsBuilt on the NVIDIA HGX B300 8-GPU baseboard, so accelerator performance matches the reference. Chassis, CPU, memory and cooling are this vendor's own.
System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 0.010 PFLOPS | 1.3 TFLOPS | — | |
| 0.600 PFLOPS | 75.0 TFLOPS | — | |
| 9.000 PFLOPS | 1125.0 TFLOPS | — | |
| 18.000 PFLOPS | 2250.0 TFLOPS | — | |
| 18.000 PFLOPS | 2250.0 TFLOPS | — | |
| 36.000 PFLOPS | 4500.0 TFLOPS | — | |
| 108.000 PFLOPS | 13500.0 TFLOPS | — | |
| FP6 | 36.000 PFLOPS | 4500.0 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 288GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
1400W
Per GPU Memory
288 GB
Process Node
4nm
Architecture
Blackwell Ultra
Documentation & Resources
Flopper Spec Sheet
NVIDIA DGX B300 specifications, generated from our database. Printable.
Vendor product page
NVIDIA DGX B300 documentation
workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf
NVIDIA • 2025-10-16
NVIDIA DGX Documentation
System guides, deployment resources
Typical Use Cases
The NVIDIA DGX B300 runs 8× B300 GPUs over NVSwitch + NVLink, delivering 36.0 PFLOPS FP8 dense.