The 2026 State of AI Compute Fall report is live.
We analyzed what 1M+ Runpod developers ran: model precision, open + frontier stacks, agent-provisioned infrastructure, GPU demand, and the supply calls we got right and wrong.
Download the report for free:
DeepSeek’s share of OpenRouter token volume doubled from 9% in January to 18% in June 2026.
That measures combined input and output tokens, not requests or task completion. Price alone does not tell you what a workload costs.
runpod.io/reports/fall-2…@deepseek_ai
We have a new community template on Runpod: Decision 2.0 for Serverless.
You just send a question and get back a probability or a structured choice. Zero output tokens spent.
console.runpod.io/hub/listing/ko…
Migrating an AI pipeline usually means rewriting it. But for a codebase that’s been running since 2021, that’s not an option.
So Botto took a different path.
Read their story here:
runpod.io/case-studies/h…@bottoproject
@LangChain is the most frequently observed agent framework in Runpod workloads.
The common use cases are practical: retrieval, customer support and document Q&A.
We also found health care workflows, voice collections and a pull request reviewer.
runpod.io/reports/fall-2…