We'll be at the AI Engineer World's Fair this week, June 29 – July 2 in San Francisco.
If you're attending, come find us! We always love to chat about what you're building.
See you there.
Two days until Flash Hack Day. We've got credits and cash prizes for the top projects, plus a gift for every single person who builds with us.
The event is remote-friendly. So if you can't join us in San Francisco, just join us online!
Register through the link below:
Today, we’re excited to announce our $50M Series B, led by @GreenfieldVC, with participation from @lightspeedvp and @notablecap. 🚀
At Patronus AI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is
We just closed a $100M Series A led by @SummitPartners. 🎉
1M+ developers. $22M raised to get here. Almost entirely word of mouth.
Pods. Serverless. Clusters. The full AI lifecycle on one platform. We're moving faster on all of it.
We had a great time at the @databricks Data+AI Summit this week.
Always great to see so many builders who are shipping real AI workloads.
Thanks to everyone who stopped by the booth, and we'll see you at the next one!
What happens before the first request hits your serverless endpoint?
Join us on June 25 when Greg Wester shows you a live deployment of FlashBoot & batch inference.
Register here: resources.runpod.io/whats-new-in-r…
Join us June 25 for a live demo of what's new in Runpod Serverless — hot starts, batch inference, and a cold-to-running deployment on stage.
Register here:
More than half of all internet traffic is now AI agents.
Behind every one of those requests is an inference call that needs to cold-start fast, scale under load, and cost nothing at idle.
That's the infrastructure problem we're solving at Runpod.
Come build with us during our Flash Hack Day in SF on June 30.
Expect a full-day hackathon where you ship real projects. No Dockerfile, no container registry, no infra config.
Yes, just Python!
Register here: luma.com/runpod-flash-j…
Agents have overtaken humans in internet traffic.
And behind every agent is an inference call that needs to be fast, cheap, and scalable.
That's what we built Runpod for. Deploy in under 30 seconds. Scale from zero. Pay nothing at idle.