# RunPod

> Cloud GPU platform for building, training, and deploying AI models with serverless infrastructure and instant scaling.

RunPod provides end-to-end AI cloud infrastructure that simplifies building, training, and deploying machine learning models. The platform offers on-demand GPU access across 30+ global regions, serverless compute that scales automatically, and instant multi-node GPU clusters. Trusted by over 500,000 developers at companies like OpenAI, Cursor, Hugging Face, and Perplexity, RunPod delivers enterprise-grade reliability with significant cost savings compared to traditional cloud providers.

- **Cloud GPUs** provide on-demand access to over 30 GPU SKUs including B200, H200, H100, A100, and RTX series, deployable in under a minute across 31 global regions with per-second billing.

- **Serverless Computing** enables automatic scaling from 0 to 1000+ workers in seconds, with FlashBoot technology delivering sub-200ms cold starts and zero idle costs when not in use.

- **Instant Clusters** allow deployment of high-performance multi-node GPU clusters for distributed AI training, LLM workloads, and HPC tasks with rapid provisioning.

- **RunPod Hub** offers the fastest way to deploy open-source AI models with pre-configured templates and one-click deployment options.

- **Persistent Network Storage** provides S3-compatible storage with zero ingress/egress fees, enabling full AI pipelines from data ingestion to deployment without transfer costs.

- **Enterprise Features** include 99.9% uptime SLA, SOC 2 Type II compliance, real-time logs and monitoring, managed orchestration, and automatic failover handling.

- **Cost Efficiency** delivers up to 90% infrastructure cost savings with usage-based pricing, offering more tokens per dollar compared to AWS, GCP, and Azure.

To get started, sign up at the RunPod console, select your GPU type and configuration, and deploy a pod or serverless endpoint within seconds. The platform supports various use cases including inference, fine-tuning, AI agents, and compute-heavy tasks with comprehensive documentation and API access.

## Features
- On-demand GPU access across 30+ SKUs
- Serverless auto-scaling from 0 to 1000+ workers
- Sub-200ms cold starts with FlashBoot
- Multi-node GPU cluster deployment
- Persistent network storage with zero egress fees
- Real-time logs and monitoring
- Managed orchestration
- 99.9% uptime SLA
- SOC 2 Type II compliance
- Global deployment across 31 regions
- Per-second billing
- API access
- Pre-configured AI model templates

## Integrations
Docker, Hugging Face, PyTorch, TensorFlow, S3-compatible storage

## Platforms
LINUX, WEB, API, DEVELOPER_SDK

## Pricing
Paid

## Links
- Website: https://www.runpod.io
- Documentation: https://docs.runpod.io/
- Repository: https://github.com/runpod
- EveryDev.ai: https://www.everydev.ai/tools/runpod