> For the complete documentation index, see [llms.txt](https://docs.console.zenlayer.com/welcome/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.console.zenlayer.com/welcome/gpu-cloud/virtual-machines/access-an-instance.md).
# Access an Instance
## Access Instances with `Ollama` Image
Once your instance is launched, access it via `WebUI` or `JupyterLab`:
1. Go to instance list page and click 
or 
in the **Instance Access** column.
2. Once logged in, you'll have access to pre-installed software, such as Llama, JupyterLab, Python, and CUDA, to begin running your tasks.
## Access Instances with `Ubuntu` Image
1. Use an SSH client to connect to the instance with the provided key pair.
```bash
ssh -i ubuntu@
```
2. Once logged in, you'll have access to pre-installed software, such as cuDNN, NvidiaDriver, and CUDA, to begin running your tasks.
## Running AI/ML Workloads
With JupyterLab and Python installed, you can run AI/ML tasks seamlessly by leveraging the GPU's power for fast model training and inference.
Example command to check GPU usage:
```bash
nvidia-smi
```