Runpod Blog.

Runpod's platform continues to evolve, and now, so does your ability to keep tabs on where your GPU dollars are going. We've rolled out cost centers, a billing feature that lets you tag your Runpod resources with labels and track spend by team, project, or department. If you've ever gotten an invoice and thought "wait, who spun up all these pods?" this one's for you.

GPU shortages are reshaping AI infrastructure. Learn what's driving the H100 and B200 supply crunch, and how AI builders can adapt their compute strategy.

Runpod community helper nerdylive built a template that packages SwarmUI, JupyterLab, and Syncthing into a single deployable pod, eliminating the typical setup overhead of running AI image and video generation on cloud GPUs.

Our esteemed Discord community helper notrius built a single container that bundles dataset prep, model management, three training backends, two inference UIs, and a full control plane, so you can stop fighting dependencies and start creating. No more spinning up one pod for Comfy and another for training and kicking files back and forth through the CLI; you can run everything in a single pod now, using a single GPU,

We've just released a new tool to get you help faster and streamline your account management.

OpenAI just launched one of the most exciting ML competitions in years, and Runpod is the official compute partner. Here's everything you need to know to get started.

Runpod's State of AI report pulls from real production data across 500,000+ developers to reveal what's actually running, not what people say they're using. The findings contradict much of the public narrative: Qwen has overtaken Llama, ComfyUI owns 70%+ of image workflows, and video upscaling outpaces generation 2:1.