Runpod AI Infrastructure Blog

Queue for any GPU spec, even one that's fully rented out, and we'll deploy it the moment capacity opens up. No more refreshing the console or running a sniping tool.

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.

How 1,100 researchers beat OpenAI's own baseline with 16 megabytes 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.