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Tools/Determined AI vs Ray Serve
Determined AI

Determined AI

infrastructure
vs
Ray Serve

Ray Serve

infrastructure

Determined AI vs Ray Serve — Comparison

Overview
What each tool does and who it's for

Determined AI

Ray Serve

Based on the social mentions provided, Ray Serve appears to be well-regarded as part of the broader Ray ecosystem for distributed AI and ML workloads. Users appreciate its integration with popular tools like SGLang and vLLM for both online and batch inference scenarios, with new CLI improvements making large model development more accessible. The active community engagement through frequent meetups, office hours, and educational content suggests strong adoption and support, particularly for LLM inference at scale. The mentions focus heavily on technical capabilities and real-world production use cases, indicating Ray Serve is viewed as a serious solution for enterprise-scale AI deployment rather than just an experimental tool.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
—
GitHub Stars
41,936
—
GitHub Forks
7,402
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Determined AI

0% positive100% neutral0% negative

Ray Serve

0% positive100% neutral0% negative
Pricing

Determined AI

Ray Serve

tiered

Pricing found: $100

Features

Only in Ray Serve (1)

Ray Serve:...
Developer Ecosystem
—
GitHub Repos
—
—
GitHub Followers
—
20
npm Packages
20
4
HuggingFace Models
3
—
SO Reputation
—
Company Intel
information technology & services
Industry
information technology & services
13
Employees
9
$16.2M
Funding
—
Merger / Acquisition
Stage
—
Supported Languages & Categories

Determined AI

Ray Serve

AI/MLDevOpsSecurityAnalyticsDeveloper Tools
View Determined AI Profile View Ray Serve Profile