Zhen Unfiltered: Live Q&A with the Runpod CEO — May 14
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Infrastructure for AI agents running on GPU inference

GPU endpoints built for agents that scale instantly, eliminate idle costs, and handle high-throughput workloads.

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Free account. No credit card required. Start running in minutes.

Agents don't work like normal apps. They loop, branch, call tools, spawn sub-agents, and make decisions mid-run. Traditional cloud functions weren't designed for any of that. GPU endpoints that scale on demand, start instantly, and cost nothing when idle, that's what agent workloads need.

How it Actually Works

Your agent calls a GPU endpoint

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Run LLM inference, image generation, and embeddings. Deploy as a Serverless endpoint.

The endpoint scales with the task

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One request or ten thousand. Workers spin up when needed and scale back to zero when done.

You only pay while it runs

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Per-second billing with no idle costs. You only pay for active compute, with no reserved capacity required.

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What people are deploying

LLM backends

Image + video

Embeddings + RAG

Tool execution

Multi-agent systems

‍Fine-tuned models

Works with the stack you already have

Want your agent to provision its own GPU compute? Flash lets you deploy any Python function to Runpod Serverless with a decorator. The agent calls it. The GPU runs. You pay for the seconds.

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Built for Production AI

vLLM-optimized LLM serving

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Any HuggingFace model, deployed in minutes. PagedAttention and continuous batching for high-throughput inference.

Sub-200ms cold starts with FlashBoot

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Pre-warmed worker pools eliminate initialization latency. Your users don't wait for infrastructure.

Global regions, low-latency routing

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31 regions. Deploy closer to your users. Route traffic intelligently across your worker pool.

Bring your own container

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Python, Node.js, Go, Rust, C++. PyTorch, TensorFlow, JAX, ONNX. Or your own custom runtime. No rewrites, no lock-in.

GitHub-native deployment

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Push to GitHub, auto-release to your endpoint. Roll back instantly. Zero downtime on updates.

Persistent model storage

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Network volumes keep your models loaded and ready. No re-pulling from HuggingFace on every cold start.

Builders are already running here

Runpod is the only place I can deploy high-end GPU models instantly. No sales calls. No rate limits.
Amjad Masad, Replit
7B+
requests served across Runpod Serverless
500k
developers using the platform

Pay per second.
Nothing when idle.

Simple pricing for agent workloads. Start small. Scale when you need to.

Start building
Free account. No credit card required.

Flex workers start at fractions of a cent per second and cost nothing between requests. Active workers eliminate cold starts with up to 30% discount. Pick the tradeoff that fits your workload.

Cheapest GPU
$X/sec
Entry point for lightweight workloads
Most common GPU
$Y/sec
Popular for production agent workloads

Start in minutes.

From sign-up to working endpoint in a few steps.

1

Create a free account

No credit card required.
Get started in minutes.

2

Deploy an endpoint

Pick a model or bring your own container. Running in minutes.

3

Call it from your agent

Use HTTP, an OpenAI-compatible
API, or Flash.

Start building

Your agent needs a GPU. This is the one.

Join 400k developers already running on Runpod.

Create a free account
No credit card required. Free tier available. Upgrade when you're ready.