Confused about the difference between spot and on-demand GPU instances? This guide explains how each works on Runpod, including pricing, reliability, and best use cases—so you can choose the right compute for your workload.

Prefer Colab’s interface but need more reliable compute? This guide shows you how to connect Google Colab to a Runpod instance via port forwarding, letting you use your own GPU instead of relying on Colab’s spotty availability.

Learn how to use Runpod’s Cloud Sync with Backblaze B2 to back up and restore your Pod data efficiently. This guide explains setup, configuration steps, and benefits of using a cloud storage provider like Backblaze to avoid idle volume charges or accidental data loss.

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.

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

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.

Want to try Invoke AI’s powerful infinite canvas and Stable Diffusion tools? Here’s how to launch them on RunPod with minimal setup.