> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.latch.bio/llms.txt
> Use this file to discover all available pages before exploring further.
# What are Latch Pods?
> Access the scale of the cloud with the flexibility of your personal computer.
Pods are virtual computing environments that allow you to run analysis tools like Jupyter Labs and RStudio with resource requirements (GPU, CPUs, RAM) of your choice in the browser using data stored on Latch.
## Key Features
* **Scalable compute and storage:** Get up to 8 GPUs, 93 CPU cores, 1918 GiB RAM, and 16,000 GB of storage.
* **Notebook Environments:** Access familiar notebook environments, such as RStudio and JupyterLab.
}
href="/pods/getting-started"
>
The basics of creating your first Pod.
}
href="/pods/getting-started#set-up-gpus-and-compute"
>
Get access to Nvidia A10G GPUs (up to 8) instantly.
}
href="/pods/mount-data"
>
Use a single command to mount the entire filesystem on Latch Data on Pods.
Customize auto shut off interval to save costs.
Host any apps (RShiny, Dash, Streamlit) on Pods.
Take a snapshot of your pod, create a template, and reuse & share it
across your workspace.
### Integrations
Connect to Pods via SSH access.
Connect local VSCode and PyCharm to Pods via SSH extensions.
Clone private and public GitHub repositories.