NVIDIA HGX H100 8-GPU
HGX H100 8-GPU configuration for hyperscalers
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Systems built on this design
2 configurationsNVIDIA HGX H100 8-GPU is the baseboard. The systems above are OEM implementations of it and share its accelerator performance; they differ in chassis, CPU, memory and cooling.
System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 0.272 PFLOPS | 34.0 TFLOPS | 34.0 TFLOPS/kW | |
| 0.536 PFLOPS | 67.0 TFLOPS | 67.0 TFLOPS/kW | |
| 3.956 PFLOPS | 494.5 TFLOPS | 989.0 TFLOPS/kW | |
| 7.916 PFLOPS | 989.5 TFLOPS | 1979.0 TFLOPS/kW | |
| 7.916 PFLOPS | 989.5 TFLOPS | 1979.0 TFLOPS/kW | |
| 15.832 PFLOPS | 1979.0 TFLOPS | 3958.0 TFLOPS/kW | |
| 15.832 PFLOPS | 1979.0 TFLOPS | 3958.0 TFLOPS/kW |
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 H100
This system utilizes 8 × NVIDIA H100 SXM5 80GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
700W
Per GPU Memory
80 GB
Process Node
4nm
Architecture
Hopper
Documentation & Resources
Flopper Spec Sheet
NVIDIA HGX H100 8-GPU specifications, generated from our database. Printable.
Vendor product page
NVIDIA HGX H100 8-GPU 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 HGX H100 8-GPU runs 8× H100 GPUs over NVSwitch + NVLink, delivering 15.8 PFLOPS FP8 dense.