The Runpod Blog

GLM-5.3 is now available on Runpod's public endpoints. Here's how to try it in the Playground, call it with curl, and use it through the OpenAI SDK in Python.

Our PyTorch templates now cover 2.6 through 2.13 across multiple CUDA and Ubuntu versions, with a new CUDA dropdown in the Pod deploy flow so you can match a template to your GPU and workload.

Global Volumes mount like a network volume but run on object storage. That changes what you should put on them.

Why your balance can drop even when nothing succeeds, how to find where the money went, and how to keep it from happening again.

Less of the work around your compute is yours to maintain this quarter, from one API for the whole platform to one account for your whole company. Plus the deadlines for v1 and GraphQL users.

Flash now ships a first-class Nix flake. Run the CLI with nix run github:runpod/flash, get a pinned dev shell, and send GPU work to Runpod Serverless.

You can teach an open-weight LLM to text like a specific persona: their slang, their reply length, their humor, even how they write in a roleplay scene, creative writing exercise, or chatbot customer interactions. All it takes is some chat logs (synthetic or real), a few hours of data prep, and a single GPU pod. This guide walks through the whole process on Runpod with Axolotl, from raw messages to a model you can chat with in SillyTavern, KoboldCpp, or text-generation-webui, using two base models: a 27B Qwen model and the 128B Mistral Medium 3.5.‍ Everything here was tested end to end, and every error we hit along the way is in the Troubleshooting section, so you shouldn't get stuck where we did.