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Why you should build your AI Applications with Ray

Blog post from Anyscale

Post Details
Company
Date Published
Author
Ben Lorica, Ion Stoica
Word Count
1,375
Company Posts That Month
5
Language
English
Hacker News Points
-
Post removed?
No
Summary

Ray is a versatile platform for building diverse, computationally intensive applications, including data and AI applications and platforms, as well as long running applications like web services. It supports both business logic and model inference seamlessly, allowing developers to build and scale microservices as if they were a single Python application. Many companies have successfully used Ray for various applications, highlighting its flexibility and scalability. Ray also provides tools for testing, deployment, and monitoring, making it an ideal choice for building distributed applications that incorporate machine learning.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Guardrails 2 No monthly metrics for this publish month.
Real-time 2 802 286 88 +12%
Serverless 2 835 111 40 +53%
Kubernetes 1 1,150 144 53 +31%
Observability 1 479 132 48 -10%
Reinforcement learning 1 No monthly metrics for this publish month.
TPUs 1 No monthly metrics for this publish month.
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