The Runpod Blog

Benchmarks on one A40 show when a Serverless endpoint costs less than an always-on Pod, and what latency, storage and debugging trade-offs come with the switch.

Run the work that can wait as Batch Inference and keep real-time capacity for live traffic.

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.