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.
Mentions (30d)
1
Reviews
0
Platforms
2
GitHub Stars
41,936
7,402 forks
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.
Features
Industry
information technology & services
Employees
9
41,936
GitHub stars
20
npm packages
3
HuggingFace models
🚀 Run SGLang with Ray! Try out Ray + SGLang (@lmsysorg) with new examples for • SGLang + Ray Serve (online inference) • SGLang + Ray Data (batch inference) Some example contributions to take a look.
🚀 Run SGLang with Ray! Try out Ray + SGLang (@lmsysorg) with new examples for • SGLang + Ray Serve (online inference) • SGLang + Ray Data (batch inference) Some example contributions to take a look. https://t.co/XoMWJMLH2f https://t.co/oNJ8qhgzJR
View originalPricing found: $100
🌟 Help Shape the Future of Ray! Influence the future of Ray with our Ray Community Pulse survey. 🎁We are offering exclusive swag for all eligible participants, so take the survey before it closes o
🌟 Help Shape the Future of Ray! Influence the future of Ray with our Ray Community Pulse survey. 🎁We are offering exclusive swag for all eligible participants, so take the survey before it closes on Feb 20th, 2026! https://t.co/ie3uk4norr https://t.co/YrnaMOqUgz
View originalJoin us at Criteo (Paris) on Feb 5 for the Ray Paris Meetup 🇫🇷 Featured talk: Data-Intensive Distributed Training for Commerce Foundation Models @ Criteo + with Arij Sakhraoui & Alexis Benichou –
Join us at Criteo (Paris) on Feb 5 for the Ray Paris Meetup 🇫🇷 Featured talk: Data-Intensive Distributed Training for Commerce Foundation Models @ Criteo + with Arij Sakhraoui & Alexis Benichou – covering GPU orchestration, on-prem + cloud scaling, and real-world lessons using Ray! 📅 18:30–20:30 📍 32 Rue Blanche, 75009 Paris 👉 Save your spot: https://t.co/aBDBjNaPe7
View originalCall for Speakers: Ray Meetups @ Grab! 🇸🇬🇻🇳 🇸🇬 Singapore: Feb 24 (evening) 🇻🇳 Vietnam: Feb 26 (evening) Seeking talks on Ray + production ML (distributed training/inference, LLM apps/RAG, ev
Call for Speakers: Ray Meetups @ Grab! 🇸🇬🇻🇳 🇸🇬 Singapore: Feb 24 (evening) 🇻🇳 Vietnam: Feb 26 (evening) Seeking talks on Ray + production ML (distributed training/inference, LLM apps/RAG, eval, data, MLOps, perf, obs, demos). Submit your talk here: https://t.co/yYEAbRafdN
View originalTonight in London 🇬🇧! Ray x AWS London Meetup: Building Scalable AI & Data Platforms 📅 Today, Jan 13 | ⏰ 6–9pm GMT 📍 AWS LHR14, London Talks from Anyscale, AWS, and CloudNC on distributed traini
Tonight in London 🇬🇧! Ray x AWS London Meetup: Building Scalable AI & Data Platforms 📅 Today, Jan 13 | ⏰ 6–9pm GMT 📍 AWS LHR14, London Talks from Anyscale, AWS, and CloudNC on distributed training, Ray on AWS, and real-world ML platforms. 👉 Last chance to join: https://t.co/hgsFPr4t5i
View original🚀 Run SGLang with Ray! Try out Ray + SGLang (@lmsysorg) with new examples for • SGLang + Ray Serve (online inference) • SGLang + Ray Data (batch inference) Some example contributions to take a look.
🚀 Run SGLang with Ray! Try out Ray + SGLang (@lmsysorg) with new examples for • SGLang + Ray Serve (online inference) • SGLang + Ray Data (batch inference) Some example contributions to take a look. https://t.co/XoMWJMLH2f https://t.co/oNJ8qhgzJR
View originalSneak peek at our Ray x AWS London meetup talks (Jan 13, 6–9pm GMT): - Ray & Anyscale for distributed training – Ali Sezer (Anyscale) - Ray on AWS for scalable AI/data platforms – Christian Melendez
Sneak peek at our Ray x AWS London meetup talks (Jan 13, 6–9pm GMT): - Ray & Anyscale for distributed training – Ali Sezer (Anyscale) - Ray on AWS for scalable AI/data platforms – Christian Melendez & Robert Northard (AWS) - Real-world ML training w/ Ray – Chris Emery (CloudNC) 📍 AWS LHR14, London 👉 Join now: https://t.co/hgsFPr3VfK
View originalCurious how Ray scales AI training in practice? We’re hosting a live webinar to help you transition from single-GPU constraints to full-scale distributed clusters. Seats are limited to keep the ses
Curious how Ray scales AI training in practice? We’re hosting a live webinar to help you transition from single-GPU constraints to full-scale distributed clusters. Seats are limited to keep the session interactive. Reserve your spot today: https://t.co/FXebPOfXLW https://t.co/aOSduSWZd2
View originalParis 🇫🇷 we're hosting a Ray Meetup: Scaling AI Workloads – Distributed Compute Made Simple with Ray at Criteo! 📅 Thu, Feb 5 | 🕡 18:30–20:30 (GMT+1) 📍 32 Rue Blanche, 75009 Paris Learn how team
Paris 🇫🇷 we're hosting a Ray Meetup: Scaling AI Workloads – Distributed Compute Made Simple with Ray at Criteo! 📅 Thu, Feb 5 | 🕡 18:30–20:30 (GMT+1) 📍 32 Rue Blanche, 75009 Paris Learn how teams use Ray to scale training & inference from a single machine to distributed clusters. 👉 Sign up: https://t.co/aBDBjNaPe7
View originalLondon 🇬🇧 – we're hosting our first Ray x AWS meetup on Jan 13 (6–9pm GMT) at the AWS LHR14 office. We'll cover: - Ray & Anyscale for distributed training - Running Ray on AWS - Real-world ML
London 🇬🇧 – we're hosting our first Ray x AWS meetup on Jan 13 (6–9pm GMT) at the AWS LHR14 office. We'll cover: - Ray & Anyscale for distributed training - Running Ray on AWS - Real-world ML training at scale with Ray 👉 Request to join: https://t.co/qZfNbtBplB
View originalWant to learn how AI characters are built using reinforcement learning? This talk dives into how @character_ai adapts open-source RL libraries (like Verl) to serve millions of users every day: https
Want to learn how AI characters are built using reinforcement learning? This talk dives into how @character_ai adapts open-source RL libraries (like Verl) to serve millions of users every day: https://t.co/4HL9vjPZyy
View originalLooking for a quick TL;DR of all the updates vLLM had in 2025? Catch this talk from Simon Mo as he goes through the details. https://t.co/lNcQXQKOIT
Looking for a quick TL;DR of all the updates vLLM had in 2025? Catch this talk from Simon Mo as he goes through the details. https://t.co/lNcQXQKOIT
View originalJoin us on Jan 13 at the AWS LHR14 office for the first Ray x AWS London Meetup: Building Scalable AI & Data Platforms! Talks on: - Distributed training with Ray & Anyscale - Running Ray on A
Join us on Jan 13 at the AWS LHR14 office for the first Ray x AWS London Meetup: Building Scalable AI & Data Platforms! Talks on: - Distributed training with Ray & Anyscale - Running Ray on AWS - Real-world scaling stories in production 👉 Register now: https://t.co/qZfNbtBXb9
View originalJoin us for the final Ray Meetup of the year, where we will deep dive with technical talks on core advancements in Ray, as well as discuss what's coming in 2026. 🎉 Ray Meetup: A Year of Distributed
Join us for the final Ray Meetup of the year, where we will deep dive with technical talks on core advancements in Ray, as well as discuss what's coming in 2026. 🎉 Ray Meetup: A Year of Distributed Systems Innovation (End-of-Year Celebration) 🗓️ December 18 ⏱️ 5:30 - 7:30 PM 📍 Anyscale Office, San Francisco, CA 👉 Register here: https://t.co/ArzisWfG6d
View originalWe're hosting office hours once again for Ray LLM @ Wednesday, Dec 17, 9:30am PST! We will be going over fast model loading, resilient batch inference, and fractional serving this week. If you have a
We're hosting office hours once again for Ray LLM @ Wednesday, Dec 17, 9:30am PST! We will be going over fast model loading, resilient batch inference, and fractional serving this week. If you have any questions about LLMs or Ray, come hop on in! Sign up here: https://t.co/KdPJtG7a9d
View originalRepository Audit Available
Deep analysis of ray-project/ray — architecture, costs, security, dependencies & more
Pricing found: $100
Key features include: Ray Serve:....
Ray Serve has a public GitHub repository with 41,936 stars.
Based on 78 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
