Anyscale
Production-Ready AI with Ray.
VS
fast.ai
Making neural nets uncool again.
Detailed comparison
Criteria
Anyscale
fast.ai
Pricing
Freemium
Free
Plans & pricing
Enterprise: Custom
Free: Free
Free trial
Yes
No
Audience
b2b
b2c
Platforms
Web
Web
API
Yes
No
Open Source
Proprietary
Open Source
Categories
Data Science
Education, Data Science
Popularity
Very High
Very High
Description
Anyscale is a platform powered by Ray, designed to empower AI builders. It allows users to run and scale all ML and AI workloads on any cloud or on-pr...
fast.ai offers free, practical deep learning courses such as "Practical Deep Learning for Coders," "How to Solve it With Code," and "Applied Data Ethi...
Pricing
Anyscale
Freemium
fast.ai
Free
Plans & pricing
Anyscale
Enterprise: Custom
fast.ai
Free: Free
Free trial
Anyscale
Yes
fast.ai
No
Audience
Anyscale
b2b
fast.ai
b2c
Platforms
Anyscale
Web
fast.ai
Web
API
Anyscale
Yes
fast.ai
No
Open Source
Anyscale
Proprietary
fast.ai
Open Source
Categories
Anyscale
Data Science
fast.ai
Education, Data Science
Popularity
Anyscale
Very High
fast.ai
Very High
Description
Anyscale
Anyscale is a platform powered by Ray, designed to empower AI builders. It allows users to run and scale all ML and AI workloads on any cloud or on-pr...
fast.ai
fast.ai offers free, practical deep learning courses such as "Practical Deep Learning for Coders," "How to Solve it With Code," and "Applied Data Ethi...
Features
Anyscale
Run and scale all ML and AI workloads
Deploy on any cloud and on-premise environments
Cost governance with budgets and quotas
Unified platform for building and running AI with Ray
Managed Ray infrastructure
fast.ai
Free practical deep learning courses, including 'Practical Deep Learning for Coders,' 'How to Solve it With Code,' and 'Applied Data Ethics'
Open-source fastai deep learning library for PyTorch
Open-source nbdev software for notebook development
Companion book: 'Practical Deep Learning for Coders with fastai and PyTorch'
Key differentiators
Anyscale
- Unified platform for AI with Ray
- Scales all ML/AI workloads
- Cost governance for AI/ML
fast.ai
- Free, practical deep learning courses
- Open-source fastai library for PyTorch
- Emphasis on real-world AI applications
Other comparisons
FAQ: Anyscale vs fast.ai
Anyscale: Production-Ready AI with Ray.. fast.ai: Making neural nets uncool again.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. Anyscale is freemium and fast.ai is free.
The best choice between Anyscale and fast.ai depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Anyscale is primarily designed for individuals, while fast.ai is built for individuals.
Anyscale offers: Run and scale all ML and AI workloads, Deploy on any cloud and on-premise environments, Cost governance with budgets and quotas, Unified platform for building and running AI with Ray. fast.ai offers: Free practical deep learning courses, including 'Practical Deep Learning for Coders,' 'How to Solve it With Code,' and 'Applied Data Ethics', Open-source fastai deep learning library for PyTorch, Open-source nbdev software for notebook development, Companion book: 'Practical Deep Learning for Coders with fastai and PyTorch'.
Based on our data, fast.ai currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.