Use Case

Inference.

Scale inference or run multi-day training on cutting-edge GPUs with flexible, high-performance compute.
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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Ultra-fast, low-latency inference.

Run AI models with lightning-fast response times and scalable infrastructure.

Sub-100ms latency

Lightning-fast inference speeds for chatbots, vision models, and more.

High-throughput

Run large models like Mixtral, SDXL, and Whisper with minimal delay.

Cost-optimized AI
model serving.

Serve AI models efficiently with usage-based pricing and flexible GPU options.

Pay-per-use pricing

Avoid idle GPU costs and pay only for active inference time.

Spot GPU savings

Use low-cost spot instances to reduce expenses rather than performance.

One-click model deployment.

Deploy, manage, and scale inference
workloads with ease.

Instant model serving

Deploy LLaMA, SDXL, Whisper, and other AI models in seconds.

Zero infra headaches.

Auto-scale GPU resources dynamically without manual setup or maintenance.
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.