RunPod’s new REST API lets you manage GPU workloads programmatically—launch, scale, and monitor pods without ever touching the dashboard.

Meta’s Llama 4 models, Scout and Maverick, are the next evolution in open LLMs. This post explores their strengths, performance, and deployment on Runpod.

This guide breaks down everything you need to know about billing on RunPod—how credits are applied, what gets charged, and how to set up automatic or manual funding.

Mochi 1 pushes the boundaries of open-source video generation. Learn what makes it special, what’s new in v1, and how to deploy it on Runpod.

DeepSeek R1 remains one of the top open-source models. This post shows how you can run it efficiently on just 480GB of VRAM without sacrificing performance.

RunPod now supports Axolotl out of the box—making it easier than ever to fine-tune large language models without complex setup.

Wondering when to use RunPod’s built-in proxy system for pod access? This guide breaks down its use cases, limitations, and when direct connection is a better choice.