The Runpod Hub is here—a creator-powered marketplace for open source AI. Browse, fork, and deploy prebuilt repos for LLMs, image models, video generation, and more. Instant infrastructure, zero setup.

Big labs may dominate the headlines, but the future of AI is being shaped by indie devs—fast-moving builders shipping small, weird, brilliant things. Here’s why they matter more than ever.

From Mistral to DeepSeek, open-source AI is closing the gap with closed models—and, in some cases, outperforming them. Here’s why builders are betting on transparency, flexibility, and community-driven innovation.

Not sure why AI needs a GPU? This post breaks it down in plain English—from matrix math to model training—and shows how GPUs power modern AI workloads.

Tired of usage limits or API costs? This guide walks you through switching from OpenAI’s API to your own self-hosted LLM using open-source models on Runpod.

No GPU. No team. Just $5. This is how one solo developer used Runpod Serverless to build and deploy a working AI product—"AI for Dads"—without writing any custom training code.

Finished training your model in a Pod? This guide helps you decide when to switch to Serverless, what trade-offs to expect, and how to optimize for fast, cost-efficient inference.