Use Case

Agents.

Build and scale intelligent agent-based systems with high-performance, cost-efficient 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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Real-time AI agents.

Run complex agent-based systems with ultra-low latency and high throughput.

Concurrent tasks

Scale multi-agent workflows dynamically with parallel processing.

Sub-100ms latency

Ensure agents react instantly with minimal delays, even under load.

Run more agents, pay less.

Deploy always-on or event-driven agents with cost-efficient compute.

No idle costs

Only pay when agents are running—no wasted spend on idle GPUs.

Scale on autopilot

Dynamically allocate GPUs when agent workloads surge.

Instant agent deployment and orchestration.

Launch, manage, and orchestrate multi-agent systems with minimal setup.

One-click runtimes

Instantly deploy ready-to-use AI agent-optimized environments.

Built-in integrations

Connect agents to external APIs, vector databases, and retrieval systems.
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.