Explore Paperspace's A100_80G cloud instance specifications and benchmarks. Compare hardware configurations and performance metrics to optimize your AI and ML workloads.
LLM Benchmark Comparison
Compare performance metrics between different language models
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 | 80 GB |
| Power Limit (W) | 400.00 |
| GPU Temperature (°C) | 25 |
| GPU Clock Speed (MHz) | 52 |
| 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 | 12 |
| CPU Clock Speed | 5600.22 |
| Threads Per Core | 1 |
| Cores Per Socket | 12 |
| Sockets | 1 |
| Memory | Value |
|---|---|
| Total | 88Gb |
Disks Specifications
| Storage | Value |
|---|---|
| Total | 1000.00 GB |
Available Disks
| Property | Value |
|---|---|
| Disk 1 | |
| Model | xvda |
| Size | 1000Gb |
| 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 | 149ms |
| Coremark (Iterations per sec) | 22716.947 |
| llama2Inference (Tokens per sec) | 22.26 |
| Tensorflow Mnist Training | 2.374 |
Nvidia-smi output
Nvidia-smi topo -m output