Explore DataCrunch's L40S cloud instance specifications and benchmarks. Compare hardware configurations and performance metrics to optimize your AI and ML workloads.
Hardware Specifications
GPU Configuration | Value |
---|---|
GPU Type | L40S |
GPU Interconnect | PCIE |
GPU Model Name | NVIDIA L40S |
Driver Version | 550.90.07 |
GPU VRAM | 384 |
Power Limit (W) | 350.00 |
GPU Temperature (°C) | 35 |
GPU Clock Speed (MHz) | 210 |
Memory Clock Speed (MHz) | 405 |
Pstate | P8 |
CPU Configuration | Value |
---|---|
Model Name | AMD EPYC 7B12 64-Core Processor |
Vendor ID | AuthenticAMD |
CPUs | 192 |
CPU Clock Speed | 4500.00 |
Threads Per Core | 1 |
Cores Per Socket | 1 |
Sockets | 192 |
Memory | Value |
---|---|
Total | 472Gb |
Disks Specifications
Storage | Value |
---|---|
Total | 2048.00GB |
Available Disks
Property | Value |
---|---|
Disk 1 | |
Model | vda |
Size | 2Tb |
Type | HDD |
Mount Point | Unmounted |
Software Specifications
Software | Value |
---|---|
OS | Ubuntu |
OS Version | 22.04.4 LTS (Jammy Jellyfish) |
Cuda Driver | 12.4 |
Docker Version | 27.1.1 |
Python Version | Python 3.10.12 |
Benchmarks
Benchmark | Value |
---|---|
ffmpeg | 106 |
Coremark (Itterations per sec) | 25212.732 |
llama2Inference (Tokens per sec) | 40.10 |
Tensorflow Mnist Training | 3.833 |
Nvidia-smi output
Nvidia-smi topo -m outpu