Compare Google Colab Pro and Runpod across pricing, reliability, and GPU access. Which is the better deal for developers running real AI workloads?

This post compares Runpod’s GPU Cloud with Google Colab Pro and Pro+, highlighting the differences in pricing, compute guarantees, and performance. While Colab offers ease of use via subscription, it lacks guaranteed access to GPUs. Runpod provides consistent access to powerful hardware with flexible, pay-as-you-go pricing.

Runpod now offers encrypted volumes to help secure sensitive data stored in persistent volumes. This post outlines the benefits and tradeoffs of volume encryption, and explains how users can enable it during deployment. Encryption boosts data security but may impact performance.

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 use Runpod’s Cloud Sync with Backblaze B2 to back up your pod data without paying idle volume fees—perfect for long-term storage and disaster recovery.