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Runpod Blog.

New Runpod datacenter now live: AP-IN-1 Track GPU spend across your team with Cost Centers The GPU supply supercycle is here. Here’s what AI builders need to know. Community Spotlight: One-click AI image and video generation on Runpod with SwarmUI | Runpod Blog Community Spotlight: LoRA Pilot Data Prep to Inference Introducing the Runpod Assistant: Manage Your Cloud GPU Resources with Natural Language OpenAI's Parameter Golf: Train the Best Language Model That Fits in 16MB on Runpod LLM inference optimization: techniques that actually reduce latency and cost Pruna P-Video and Vidu Q3 public endpoints now available on Runpod Runpod brand spelling guide Quickstart - Runpod Documentation The AI market looks nothing like the narrative Training StyleGAN3 with Vision-Aided GAN on Runpod KoboldAI – The Other Roleplay Front End, And Why You May Want to Use It How to Connect Cursor to LLM Pods on Runpod for Seamless AI Dev Community Spotlight: How AnonAI Scaled Its Private Chatbot Platform with Runpod Prompt Scheduling with Disco Diffusion on Runpod Runpod's Latest Innovation: Dockerless CLI for Streamlined AI Development Run Your Own AI from Your iPhone Using Runpod Introducing Flash: Run GPU workloads on Runpod Serverless: No Docker required Use Claude Code with your own model on Runpod: No Anthropic account required Avoid Errors by Selecting the Proper Resources for Your Pod What hackers built on Runpod at TreeHacks 2026 Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2 The Complete Guide to GPU Requirements for LLM Fine-Tuning AI Guides, Tutorials & GPU Infrastructure Insights | Runpod Your first Claude Code project within Runpod: a complete setup guide 10 billion Serverless requests and counting Building for resilience: Runpod’s response to the AWS us-east-1 outage How to Connect Google Colab to Runpod
One Million Developers on Runpod, and the Cloud We’re Bui...
Zhen Lu · 2026-06-24 · via Runpod Blog.

When Pardeep and I founded Runpod, we believed the developers building AI deserved a cloud built for that work, not replatforming tools borrowed from an earlier era of software. That conviction still runs through every decision we make.

Today marks a major milestone for Runpod. We’ve raised $100 million, led by Summit Partners, and we’ve crossed more than one million developers building on the platform.

The latter is the most real measure of the company we’re becoming. It’s the part of this announcement I’m most focused on.

The whole lifecycle, not just inference

Over the last two years, much of the market narrowed to a single part of the problem: hosted inference. Inference matters, and we run an enormous amount of it. Our Serverless platform has now handled more than ten billion requests. 

But inference is one stage of a much longer process. Developers need to build and train, fine-tune on their own data, deploy to production, and scale when the work succeeds. Pods for development and training. Serverless for production inference and agentic workloads. Clusters for multi-node runs. One platform, carrying a developer from first experiment to production traffic. That is what we mean when we call Runpod the AI developer cloud

Not long ago, a customer told us we'd become their AWS. They meant it literally: if Runpod goes down, they go down. That's not a compliment to take lightly. When someone builds their company on your infrastructure, there's only one acceptable answer: be there.

This round ensures we can. We're building the next layer of the AI developer cloud faster, pulling more of the lifecycle into one place. The people building on Runpod should be thinking about their models and their products, not infrastructure. 

I also want to celebrate every person who built this: every engineer who shipped a release this year. Every member of our support team who treated a ticket as if the company depended on it, because it does. And every customer who told us plainly where we fell short and gave us the chance to make it right. 

I'm grateful to our investors for understanding what we're building, and for backing the company we intend to become: one with real demand and real traction behind it.

And to every developer and every team that has built on Runpod so far: thank you.