The Runpod Blog

Explore why faster chips have shifted the bottleneck to AI infrastructure, and what that means for teams running production workloads.

With MIG, we can partition RTX 6000 Pro cards into isolated 24 GB instances. Here's when it makes sense for your workloads.

See how 1,100 researchers used Runpod for OpenAI's Parameter Golf challenge, improving a language model within 16 MB and 10 minutes.

Read Runpod's guide to Build an agentic AI safety pipeline with Runpod Flash and Granite Guardian 4.1, with practical context for AI developers and.

Flash is now generally available (GA) as a production-ready tool for running serverless GPU and CPU workloads in pure Python without needing Docker.

DeepSeek V4 is not the "Sputnik moment" R1 was, but it is the cheapest credible alternative to Claude Opus and GPT-5.5 that anyone has shipped thus far.

Runpod expands the AI Developer Cloud in India with the AP-IN-1 region, giving developers another location for training and inference workloads.