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.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.
Key Features
- Scalable compute and storage: Get up to 8 GPUs, 93 CPU cores, 1918 GiB RAM, and 16,000 GB of storage.
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Notebook Environments: Access familiar notebook environments, such as RStudio and JupyterLab.
Latch Pod Basics
The basics of creating your first Pod.On-demand GPUs
Get access to Nvidia A10G GPUs (up to 8) instantly.Acccessing Data
Use a single command to mount the entire filesystem on Latch Data on Pods.Automatic Shut Off
Customize auto shut off interval to save costs.Custom App Hosting
Host any apps (RShiny, Dash, Streamlit) on Pods.Pod Templates
Take a snapshot of your pod, create a template, and reuse & share it across your workspace.
Integrations
SSH Access
Connect to Pods via SSH access.
IDE Integration
Connect local VSCode and PyCharm to Pods via SSH extensions.
GitHub Integration
Clone private and public GitHub repositories.