The Chips Got Faster. The Stack Didn't.
June 2, 2026
Why faster chips have shifted the bottleneck to AI infrastructure, and what that means for teams running production workloads.
The AI Developer Cloud
Experiment, train, fine-tune, deploy, scale on one AI system
Trusted by over one million developers at the world’s leading AI companies
What’s new
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With MIG, we can partition RTX 6000 Pro cards into isolated 24 GB instances. Here's when it makes sense for your workloads.
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Solution
One platform. Full lifecycle.
Go from experiment to production without replatforming. Pods, Serverless, and Clusters, all in one account.
Case Studies
In production. At scale.
See what our customers are building.
"All of these projects, the renders for AMD, the Coca-Cola builds, that has to do with scalability. If we can't scale, we can't deliver. Runpod makes that possible."
"Runpod has changed the way we ship because we no longer have to wonder if we have access to GPUs. We've saved probably 90% on our infrastructure bill, mainly because we can use bursty compute whenever we need it."
"Runpod has allowed the team to focus more on the features that are core to our product and that are within our skill set, rather than spending time focusing on infrastructure, which can sometimes be a bit of a distraction.”
"Runpod helped us scale the part of our platform that drives creation. That’s what fuels the rest, image generation, sharing, remixing. It starts with training."
"Runpod allowed us to reliably handle scaling from zero to over 1,000 requests per second in our live application."
"Runpod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all."
"We could stop worrying about infrastructure and go back to building. That’s the real win.”
Setup process was great—very quick and easy. Runpod had the exact GPUs we needed for inference and the pricing was very fair.
“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”
"After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds."
Runpod’s scalable GPU infrastructure gave us the flexibility we needed to match customer traffic and model complexity, without overpaying for idle resources.
99.9% Uptime
Run critical workloads with confidence, backed by industry-leading reliability.
Secure by default
Independently audited SOC 2 Type II compliance for end-to-end data protection.
Scale to thousands
of GPUs
Adapt instantly to demand with infrastructure that grows with you.
