RunPod

Globally distributed GPU cloud and serverless platform for AI inference and training

4.9

freemiumintermediateFeaturedTrendingVerifiedSince 2022

Developer Compute Spotlight ⚡

Deploy NVIDIA H100, A100 & RTX 4090 GPUs from $0.20/hr

Globally distributed GPU cloud with sub-second serverless cold starts and 1-click DeepSeek-R1, vLLM, and PyTorch templates at 80% lower cost.

Launch Cloud GPUs on RunPod

About RunPod

RunPod is a leading globally distributed GPU cloud and serverless computing platform engineered specifically for artificial intelligence workloads. It provides developers, AI researchers, and enterprises with on-demand access to top-tier NVIDIA GPUs (including H100, A100, L40S, and RTX 4090) at up to 80% lower cost than traditional legacy hyperscalers.

With RunPod Serverless, developers can deploy production-ready AI endpoints with zero idle server costs, sub-second cold starts, and automated scaling. RunPod also offers pre-configured one-click templates for DeepSeek-R1, vLLM, ComfyUI, Stable Diffusion, Ollama, and PyTorch, making it the premier infrastructure choice for deploying modern open-source models.

How It Works

Select your desired GPU model and VRAM requirements from the Pods or Serverless console

Choose a pre-built template (e.g. DeepSeek-R1, vLLM, FastChat) or deploy your custom Docker container

Connect via Web Terminal, JupyterLab, SSH, or REST API endpoint in under 30 seconds

Platforms

WebAPICLIDocker

Best For

AI EngineersDevelopersML ResearchersStartups

Capabilities & Features

API Access

payAsYouGo

cloudStorage

customModels

serverlessEndpoints

Common Use Cases

LLM Inference

Fine-Tuning Models

DeepSeek Deployment

Stable Diffusion Rendering

Serverless AI

Frequently Asked Questions

What GPUs are available on RunPod?

RunPod offers a wide range of NVIDIA datacenter and consumer GPUs including NVIDIA H100 (80GB), A100 (80GB/40GB), L40S (48GB), A6000 Ada, and RTX 4090 (24GB).

How does RunPod Serverless billing work?

RunPod Serverless charges per millisecond of actual execution time with zero idle compute costs, meaning you only pay when your AI model is actively processing requests.

Pricing Modelfreemium

Free Plan

Free community tier with credit starter packs

Paid Plan

Serverless GPUs from $0.0002/sec; Dedicated instances from $0.20/hr (RTX 4090) to $2.49/hr (H100 PCIe)

Get Started

Direct link · Verified & reader-supported

Pros & Cons

Up to 80% cheaper than AWS, Google Cloud, and Azure for NVIDIA GPUs

Sub-second serverless cold starts with autoscaling down to zero

1-click instant deployment templates for DeepSeek-R1, vLLM, and PyTorch

Global multi-region datacenter network with guaranteed VRAM isolation

Spot instance availability varies during peak enterprise compute hours

Requires familiarity with Docker containers or SSH workflows for custom stacks

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