Explore Paperspace's A100_80G 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 | A100_80G |
GPU Interconnect | SXM4 |
GPU Model Name | NVIDIA A100-SXM4-80GB |
Driver Version | 535.54.03 |
GPU VRAM | 640 |
Power Limit (W) | 400.00 |
GPU Temperature (°C) | 28 |
GPU Clock Speed (MHz) | 210 |
Memory Clock Speed (MHz) | 1593 |
Pstate | P0 |
CPU Configuration | Value |
---|---|
Model Name | Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz |
Vendor ID | GenuineIntel |
CPUs | 64 |
CPU Clock Speed | 5600.17 |
Threads Per Core | 2 |
Cores Per Socket | 32 |
Sockets | 1 |
Memory | Value |
---|---|
Total | 708Gb |
Disks Specifications
Storage | Value |
---|---|
Total | 2048.00GB |
Available Disks
Property | Value |
---|---|
Disk 1 | |
Model | xvda |
Size | 2Tb |
Type | SSD |
Mount Point | Unmounted |
Software Specifications
Software | Value |
---|---|
OS | Ubuntu |
OS Version | 22.04.2 LTS (Jammy Jellyfish) |
Cuda Driver | 12.2 |
Docker Version | 24.0.7 |
Python Version | Python 3.10.12 |
Benchmarks
Benchmark | Value |
---|---|
ffmpeg | 156 |
Coremark (Itterations per sec) | 28910.090 |
llama2Inference (Tokens per sec) | 0.00 |
Tensorflow Mnist Training | 2.536 |
Nvidia-smi output
Nvidia-smi topo -m outpu