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RunPod

★4.2
💬131
💲Paid

RunPod provides cost-effective GPU rentals and serverless inference for AI development, training, and scaling. It supports various AI frameworks and offers tools for development, training, and deployment.

💻
Platform
web
AI developmentAI trainingCloud computingContainer deploymentDeep learningGPU rentalInference

What is RunPod?

RunPod is a cloud platform offering GPU rentals and serverless inference for AI development, training, and scaling. It provides cost-effective solutions for startups, academic institutions, and enterprises.

Core Technologies

  • GPU Cloud
  • Serverless GPU
  • AI Frameworks (PyTorch, TensorFlow)
  • Container Deployment
  • Network Storage

Key Capabilities

  • On-demand GPU rentals
  • Scalable ML inference
  • Support for AI frameworks
  • Custom container deployment
  • Network storage
  • CLI tool for deployment

Use Cases

  • Developing and training AI models
  • Scaling ML inference for applications
  • Deploying AI applications quickly
  • Running machine learning training tasks

Core Benefits

  • Cost-effective GPU rentals
  • Fast cold-start times
  • Global interoperability
  • Zero fees for ingress/egress
  • Support for public and private image repositories
  • Easy-to-use CLI tool

Key Features

  • GPU Cloud for on-demand GPU rentals
  • Serverless GPU for scalable ML inference
  • Support for PyTorch, TensorFlow, and other AI frameworks
  • Custom container deployment
  • Network storage
  • CLI tool for hot reloading and deployment

How to Use

  1. 1
    Rent GPUs on-demand
  2. 2
    Deploy containers with AI frameworks
  3. 3
    Scale ML inference using serverless GPU
  4. 4
    Use CLI tool for deployment
  5. 5
    Access network storage for persistent data

Pricing Plans

MI300X

Starting from $2.49/hr
192GB VRAM, 283GB RAM, 24 vCPUs

H100 PCIe

Starting from $1.99/hr
80GB VRAM, 188GB RAM, 24 vCPUs

A100 PCIe

Starting from $1.19/hr
80GB VRAM, 125GB RAM, 12 vCPUs

A100 SXM

Starting from $1.89/hr
80GB VRAM, 125GB RAM, 16 vCPUs

A40

Starting from $0.4/hr
48GB VRAM, 48GB RAM, 9 vCPUs

L40

Starting from $0.69/hr
48GB VRAM, 94GB RAM, 8 vCPUs

L40S

Starting from $0.79/hr
48GB VRAM, 94GB RAM, 12 vCPUs

RTX A6000

Starting from $0.33/hr
48GB VRAM, 50GB RAM, 8 vCPUs

RTX A5000

Starting from $0.16/hr
24GB VRAM, 25GB RAM, 3 vCPUs

RTX 4090

Starting from $0.34/hr
24GB VRAM, 29GB RAM, 6 vCPUs

RTX 3090

Starting from $0.22/hr
24GB VRAM, 24GB RAM, 4 vCPUs

RTX A4000 Ada

Starting from $0.20/hr
20GB VRAM, 31GB RAM, 5 vCPUs

Network Storage

$0.05/GB/month
Persistent Network Storage

Frequently Asked Questions

Q.What is RunPod?

A.RunPod is a cloud platform that provides GPU rentals and serverless inference for AI development, training, and scaling.

Q.What services does RunPod offer?

A.RunPod offers GPU Cloud for on-demand GPU rentals, Serverless GPU for scalable ML inference, and support for various AI frameworks.

Q.What are the advantages of using RunPod?

A.RunPod offers cost-effective GPU rentals, fast cold-start times, global interoperability, and zero fees for ingress/egress.

Q.What is Flashboot?

A.Flashboot is a feature that reduces cold-start times to sub 250 milliseconds, allowing users to start building within seconds of deploying pods.

Q.What is the uptime guarantee?

A.RunPod guarantees 99.99% uptime.

Pros & Cons (Reserved)

✓ Pros

  • Cost-effective GPU rentals
  • Fast cold-start times with Flashboot
  • Global interoperability
  • 99.99% Uptime
  • Zero fees for ingress/egress
  • Support for public and private image repositories
  • Easy-to-use CLI tool

✗ Cons

  • Community Cloud instances may have variable performance
  • Some advanced features require contacting sales
  • Pricing for some GPU models may vary between Secure and Community Cloud

Alternatives

No alternatives found.