Need GPU horsepower in a desktop environment? This guide shows how to set up and run a full virtual desktop with GPU acceleration on RunPod.

Prefer Google Colab’s interface? This guide shows how to connect Colab notebooks to Runpod GPU instances for more power, speed, and flexibility in your AI workflows.

Need a virtual desktop with serious GPU power? This guide walks you through setting up a GPU-accelerated virtual desktop on Runpod—perfect for 3D rendering, video editing, and other high-performance workflows in the cloud.

A quick-start guide for accessing a custom Runpod container via basic terminal access, even if the container lacks SSH or exposed ports. This post walks through creating and uploading an SSH key, connecting via the terminal, and highlights the limitations of this method (e.g., no SCP support). Recommended for users running simple command-line tasks, not for full SSH workflows

Learn how to build your own Docker image tailored for deep learning, using TensorFlow as a base. This post walks through setting up a custom Dockerfile, installing essential packages like Jupyter Lab and OpenSSH, and pushing the image to Docker Hub for future reuse. Includes a full example of a start script to run services inside the container.

This tutorial guides users through setting up a true SSH daemon on Runpod, enabling functionalities like SCP and IDE connections. It covers selecting a compatible pod, configuring OpenSSH, and obtaining the correct SSH connection command.