RunPod - The Cloud Built for AI

Develop, train, and scale AI models in one cloud. Spin up on-demand GPUs with GPU Cloud, scale ML inference with Serverless.

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RunPod - The Cloud Built for AI

Introduction

Overview of RunPod

RunPod is a cloud platform designed for artificial intelligence (AI) and machine learning (ML) workloads. It provides a scalable and cost-effective infrastructure for training, fine-tuning, and deploying AI models.

Key Features

GPU Cloud

  • Globally distributed GPU cloud for AI workloads
  • Supports various GPU models, including NVIDIA H100, A100, and AMD MI300X
  • Offers secure and compliant infrastructure with enterprise-grade GPUs

Serverless

  • Autoscaling GPU workers with sub 250ms cold start time
  • Supports job queueing and real-time usage analytics
  • Cost-effective, with pricing starting from $0.05/GB/month for network storage

Pods

  • Offers a range of pod configurations with varying vCPU, RAM, and disk sizes
  • Supports PyTorch, Tensorflow, and other preconfigured environments
  • Allows custom container deployment and configuration

Security and Compliance

  • Obtained SOC2 Type 1 Certification as of February 2025
  • Data center partners maintain leading compliance standards (HIPAA, SOC2, ISO 27001)
  • Enterprise-grade security for AI models and data

Pricing

  • Pricing starts from $1.19/hr for Community Cloud and $1.99/hr for Secure Cloud
  • Discounts available for long-term commitments and bulk orders

Support and Resources

  • Offers a range of resources, including docs, status page, FAQ, and blog
  • Provides a CLI tool for easy deployment and management
  • Supports contact and referral programs for partners and customers