Use Cursor as your AI-native IDE? Here’s how to connect it directly to LLM pods on Runpod, enabling real-time GPU-powered development with minimal setup.

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.

Learn how to deploy a lightweight Gemma 3 model to generate image captions using Runpod Serverless. This walkthrough includes setup, deployment, and sample outputs.

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.

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.

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.

RunPod now integrates directly with AI IDEs like Cursor and Claude Desktop using MCP. Launch pods, deploy endpoints, and manage infrastructure—right from your editor.