Use Case

Fine-tuning.

Train and customize AI models with efficient, cost-effective compute designed for large-scale fine-tuning.
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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Accelerate fine-tuning at any scale.

Run full-scale fine-tuning with high-performance GPUs and parallelized workloads.

Optimized efficiency

Leverage top-tier GPUs with ultra-fast networking and disk I/O.

Scale on demand

Scale up for massive training runs or down for targeted fine-tuning.

Cost-effective compute without compromise.

Get the compute power you need without overpaying for idle resources.

Flexible pricing

Only pay for active training time with no idle GPU or overhead costs.

Optimize resources

Tailor GPU, memory, and storage configurations to your specific needs.

Simplify your fine-tuning workflow compute without compromise.

Streamline the process with user-friendly tools and environments.

Pre-config setups

Deploy environments with all necessary dependencies pre-installed.

Instant deployment

Serve fine-tuned models directly after training completion.
Developer Tools

Built-in developer tools & integrations.

Powerful APIs, CLI, and integrations
that fit right into your workflow.

Full API access.

Automate everything with a simple, flexible API.

CLI & SDKs.

Deploy and manage directly from your terminal.

GitHub & CI/CD.

Push to main, trigger builds, and deploy in seconds.

Build what’s next.

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