TRACK 1: PODs CREDITS
Get up to 1,000 free H100 compute hours
Credits are tailored based on your goals and how you plan to build with us
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Instant H-Class GPUs
30-second H100 workspaces for rapid prototyping and debugging.
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Elastic Sandbox Scaling
Clone or kill Pods instantly for parallel experiments.
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Workspace-Local Storage
NVMe mounts inside each Pod—zero egress, zero lag.
TRACK 2: Serverless CREDITS
Get up to 1,000,000 free Serverless requests*
*Based on 5.5-second requests on 5090 GPUs - different GPUs or runtimes will reduce or increase the total number of calls.
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Blink-Fast Cold Starts
Sub-200 ms spin-up for latency-sensitive APIs.
Auto-Scaling Endpoints
Capacity expands with traffic—no knobs to turn.
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Pay-Per-Request Control
Credits burn only when a call is made, nothing idle.
TRACK 3: Instant Clusters CREDITS
Get up to 750 free multi-node H100 compute hours
Credits are tailored based on your goals and how you plan to build with us.
Managed Slurm Clusters
Full Slurm stack—Runpod handles config and upgrades.
Click-Scale
Training
Launch 2 → 32 nodes in minutes, no queue time.
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Shared High-Speed Storage
Parallel storage baked in; checkpoints stream at GPU speed.
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.
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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
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"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.”
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https://media.getrunpod.io/latest/gendo-video.mp4
Play video
"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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"Runpod allowed us to reliably handle scaling from zero to over 1,000 requests per second in our live application."
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https://media.getrunpod.io/latest/scatter-lab-video.mp4
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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."
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https://media.getrunpod.io/latest/magic-studios-video.mp4
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"We could stop worrying about infrastructure and go back to building. That’s the real win.”
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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.”
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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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Play video
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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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.
