Runpod Blog.

A beginner-friendly guide to running the FLUX AI image generator on Runpod in minutes—no coding required.

Learn how to deploy Meta’s Segment Anything Model 2 (SAM 2) on a Runpod GPU using Jupyter Lab. This guide walks through installing dependencies, downloading model checkpoints, and running image segmentation with a prompt input.

Segment Anything Model 2 (SAM 2) offers real-time segmentation power. This guide walks you through running it efficiently on RunPod’s cloud GPUs.

Learn how to deploy Meta’s powerful Llama 3.1 405B model on RunPod using Ollama, and interact with it through a web-based chat UI in just a few steps.

Learn how to deploy Meta’s powerful open-source Llama 3.1 405B model using Ollama on RunPod. With benchmark-crushing performance, this guide walks you through setup and deployment.

Learn how to optimize your serverless GPU deployment on Runpod to balance latency, performance, and cost. From active and flex workers to Flashboot and scaling strategy, this guide helps you build an efficient AI backend that won’t break the bank.

Learn when to use open source vs. closed source LLMs, and how to deploy models like Llama-7B with vLLM on Runpod Serverless for high-throughput, cost-efficient inference.