Train. Deploy. Scale.

Runpod for Startups

Train models, run production inference, and scale without the cloud complexity.
Credits

Build faster with up to $10K in infrastructure credits

Credits are tailored based on your goals and how you plan to build with us.
Case Studies

See how startups scale smarter with Runpod.

The right infrastructure doesn’t just cut costs — it moves your roadmap forward. See how these teams shipped faster and scaled cleaner.
How Aneta Handles Bursty GPU Workloads Without Overcommitting
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"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."
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https://media.getrunpod.io/latest/aneta-video-1.mp4
How Civitai Trains 800K Monthly LoRAs in Production on Runpod
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"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."
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How InstaHeadshots Scales AI-Generated Portraits with Runpod
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"Runpod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all."
Bharat, Co-founder of InstaHeadshots
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https://media.getrunpod.io/latest/magic-studios-video.mp4
How KRNL AI scaled to 10K+ concurrent users while cutting infra costs 65%.
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"We could stop worrying about infrastructure and go back to building. That’s the real win.”
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How Coframe scaled to 100s of GPUs instantly to handle a viral Product Hunt launch.
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“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”
Josh Payne, Coframe CEO
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How Glam Labs Powers Viral AI Video Effects with Runpod
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"After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds."
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How Segmind Scaled GenAI Workloads 10x Without Scaling Costs
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Runpod’s scalable GPU infrastructure gave us the flexibility we needed to match customer traffic and model complexity—without overpaying for idle resources.
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Credits

Build faster with up to $10K in infrastructure credits

Credits are tailored based on your goals and how you plan to build with us.

Fast, Hands-On Onboarding

Tailored sessions focused on your specific use case.

Infrastructure Optimization

Guidance on architecture & cost efficiency.

Startup Spotlights

Get featured on channels across socials and email.

White-Glove Migration

Help transitioning from other providers.

Fast Track Support

Priority Slack access to Runpod engineers.

Scaling Credits

Flexible credits that grow with your usage and team maturity.
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Infrastructure Offerings

Comprehensive compute stack available to startups:
Pods
On-demand compute for students or researchers
Serverless
Cost-efficient, auto-scaling inference
Instant Clusters
Multi-node setups for high-performance experiments
Bare Metal
Persistent environments for large-scale research initiatives
Use cases

Supported AI/ML Workloads

Runpod powers these types of workloads:
FAQs

Questions? Answers.

Curious about unlocking GPU power in the cloud? Get clear answers to accelerate your projects with on-demand high-performance compute.
How many credits will my startup receive?
Credit amounts are based on your projected GPU usage and planned spend on Runpod. We prioritize teams making an upfront investment in infrastructure, our support scales with your commitment.
Do I need to be venture-backed to apply?
No, but it helps. Venture backing often signals a strong team, marketing potential, and the capacity to scale. That said we look at the full picture, traction, tech scope, and GPU needs. If you're building something meaningful, we want to hear from you.
What happens after I apply?
We'll review your application within 48 hours. If there's a fit, we'll reach out to confirm your use case, finalize the credit offer, and help get you started quickly.
Who is this program for, and what makes a strong fit?
This program is for teams building AI, ML, or GPU-heavy applications who are ready to scale - and are looking for a long-term infrastructure partner, not just a one-time credit boost. Startups that tend to be a strong fit typically have: Clear GPU usage plans in the near term, technically complex or compute-intensive workloads, long-term infrastructure needs that align with Runpod, and a sense of urgency, infra is a bottleneck they need to solve now.
What if I don't fit the typical startup profile?
If you're part of a research lab, academic team, or working on something GPU-intensive that falls outside our standard criteria, reach out. We occasionally make exceptions for high-impact or technically aligned projects. Contact us at startups@runpod.io.

Get started with RunPod today.

We handle millions of serverless requests a day. Scale your machine learning inference while keeping costs low.

Build what’s next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.