Explore Massed Compute's H100 cloud instance specifications and benchmarks. Compare hardware configurations and performance metrics to optimize your AI and ML workloads.
LLM Benchmark Comparison
Hardware Specifications
| GPU Configuration | Value |
|---|---|
| GPU Type | H100 |
| GPU Interconnect | PCIE |
| GPU Model Name | NVIDIA H100 PCIe |
| Driver Version | 560.35.03 |
| GPU VRAM | 160 |
| Power Limit (W) | 350.00 |
| GPU Temperature (°C) | 34 |
| GPU Clock Speed (MHz) | 345 |
| Memory Clock Speed (MHz) | 1593 |
| Pstate | P0 |
| CPU Configuration | Value |
|---|---|
| Model Name | Intel(R) Xeon(R) Platinum 8352Y CPU @ 2.20GHz |
| Vendor ID | GenuineIntel |
| CPUs | 40 |
| CPU Clock Speed | 4399.99 |
| Threads Per Core | 1 |
| Cores Per Socket | 20 |
| Sockets | 2 |
| Memory | Value |
|---|---|
| Total | 251Gb |
Disks Specifications
| Storage | Value |
|---|---|
| Total | 2457.60GB |
Available Disks
| Property | Value |
|---|---|
| Disk 1 | |
| Model | sda |
| Size | 2.4Tb |
| Type | HDD |
| Mount Point | Unmounted |
Software Specifications
| Software | Value |
|---|---|
| OS | Ubuntu |
| OS Version | 22.04.4 LTS (Jammy Jellyfish) |
| Cuda Driver | 12.6 |
| Docker Version | 27.2.0 |
| Python Version | Python 3.10.12 |
Benchmarks
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| Benchmark | Value |
|---|---|
| ffmpeg | 131 |
| Coremark (Itterations per sec) | 24362.514 |
| llama2Inference (Tokens per sec) | 40.46 |
| Tensorflow Mnist Training | 1.963 |
Nvidia-smi output
Nvidia-smi topo -m outpu