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Our team’s insights on building better and scaling smarter.
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.
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.
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.
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.
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.
