Explore DataCrunch's A100_80G 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 | A100_80G |
GPU Interconnect | SXM4 |
GPU Model Name | NVIDIA A100-SXM4-80GB |
Driver Version | 550.90.07 |
GPU VRAM | 160 |
Power Limit (W) | 400.00 |
GPU Temperature (°C) | 26 |
GPU Clock Speed (MHz) | 210 |
Memory Clock Speed (MHz) | 1593 |
Pstate | P0 |
CPU Configuration | Value |
---|---|
Model Name | AMD EPYC 7643 48-Core Processor |
Vendor ID | AuthenticAMD |
CPUs | 44 |
CPU Clock Speed | 4591.37 |
Threads Per Core | 1 |
Cores Per Socket | 1 |
Sockets | 44 |
Memory | Value |
---|---|
Total | 235Gb |
Disks Specifications
Storage | Value |
---|---|
Total | 500.00GB |
Available Disks
Property | Value |
---|---|
Disk 1 | |
Model | vda |
Size | 500Gb |
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 | 91 |
Coremark (Itterations per sec) | 31809.145 |
llama2Inference (Tokens per sec) | 48.47 |
Tensorflow Mnist Training | 2.775 |
Nvidia-smi output
Nvidia-smi topo -m outpu