Runpod Blog.

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.

DeepSeek R1 just got a stealthy update—and it’s performing better than ever. This post breaks down what changed in the 0528 release, how it impacts benchmarks, and why this model remains a top-tier open-source contender.

Want to run open-source AI models from your phone? This guide shows how to launch a pod on Runpod and connect to it from your iPhone—no laptop required.

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.