A Detailed Look at GPU Rentals from Salad and Runpod

Compare the top GPU rental providers to find the perfect match for your AI research needs. Dive into detailed specifications and reviews to make an informed decision.

VS

Features

Delve into the features of GPU rental companies.
Explore their adaptibility, pricing models, integration, and customer support features and find the best fit for you.

Salad

Runpod

Platforms Supported
Windows
Mac
Linux
SaaS/Web
On-Premises
iPhone
iPad
Android
Chromebook
Platforms Supported
Windows
Mac
Linux
SaaS/Web
On-Premises
iPhone
iPad
Android
Chromebook
Audience

Audience

Developing teams searching for a scalable infrastructure solution

Support
Phone Support
24/7 Live Support
Online
Support
Phone Support
24/7 Live Support
Online
API
Offers API
API
Offers API
Pricing
$0.02 per hour
Free Version
Free Trial
Pricing
$0.20 per hour
Free Version
Free Trial
Pricing Plans Conclusion
  • Salad's Affordable and Flexible Pricing:
    Salad offers an extremely cost-effective GPU pricing model by utilizing a distributed network of consumer GPUs. Entry-level GPUs like the GTX 1650 start at $0.02 per hour, with high-end GPUs like the RTX 4090 available at $0.324 per hour. Salad’s transparent pricing ensures there are no hidden fees, and users pay only for the actual usage time. This flexibility is ideal for AI, machine learning, and high-performance computing applications, providing significant savings compared to traditional cloud providers.
  • RunPod's Versatile and Competitive Pricing:
    RunPod provides a variety of GPU options with highly configurable instances to meet various high-performance computing needs. Prices for the RTX 3090 start at $0.26 per hour in the Community Cloud and $0.44 per hour in the Secure Cloud. High-end GPUs like the A100 are available starting at $1.49 per hour, with further discounts for long-term commitments. RunPod emphasizes transparent pricing with no additional fees for data transfer, and offers options for both on-demand and reserved instances, making it a flexible solution for diverse computational requirements.
Reviews/Ratings
Overall
/5
Ease
/5
Feature
/5
Design
/5
Support
/5
Reviews/Ratings
Overall
3.5/5
Ease
2.5/5
Feature
4.0/5
Design
3.5/5
Support
3.5/5
Training
Documentation
Webinars
Live Online
In Person
Training
Documentation
Webinars
Live Online
In Person
Integrations
Amazon Web Services (AWS)
Brev.dev
Caffe
Dropbox
Google Cloud Platform
Google Drive
Jupyter Notebook
Keras
Microsoft Azure
OpsVerse
Integrations
Amazon Web Services (AWS)
Brev.dev
Caffe
Dropbox
Google Cloud Platform
Google Drive
Jupyter Notebook
Keras
Microsoft Azure
OpsVerse
Summary

Which One Stands Better?

  • Salad is the better option for those who prioritize cost-effectiveness and scalability. Its use of a distributed network of consumer GPUs allows for significant savings and flexibility, making it ideal for budget-conscious projects that still require substantial computational power.
  • RunPod, on the other hand, is superior for users needing high-performance GPUs for a variety of applications, including data analytics, deep learning, and rendering. The platform’s flexible billing, extensive GPU catalog, and support for both on-demand and reserved instances provide excellent value, especially for intensive computational needs.

Decentralized 
computing for AGI.

Decentralized computing unlocks AGI potential by leveraging underutilized GPU resources for scalable, 
cost-effective, and accessible research.

explore now