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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.

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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.

    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.

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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.