ray
@raydistributed
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The AI framework trusted by OpenAI, Uber, and Airbnb. Created and developed by @anyscalecompute.
Joined August 2019
RT @robertnishihara: Interesting open source project aiming to simulate 10s of thousands of agents to model societal interactions (using @r….
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RT @robertnishihara: I always love when companies use Ray for a large variety of different workloads.
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RT @robertnishihara: DistFlow, from researchers at Shanghai Innovation Institute, looks like a cool new RL framework that builds on Ray, Py….
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How @klaviyo uses Ray for data processing, training, hyperparameter tuning, and model serving!.
klaviyo.tech
How we use Ray for scalable data processing, training, and optimization.
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RT @anyscalecompute: Distributed computing is easy to start. Scaling it in production? Not so much. @raydistributed is the go-to for AI sc….
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Last year, the creators of @vllm_project at UC Berkeley hosted a massive two-day vLLM event featuring presentations from Roblox, Uber, Apple, Intel, Alibaba, Neural Magic, IBM, Handshake, Databricks, Anyscale, and others on how they are using and optimizing vLLM. This covered
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🚨Last call🚨. Tomorrow at 10am PT, join us live for AI in Practice: Build Scalable and Production-Ready MCP Servers. 4 live demos, real infra patterns, hands-on learning with Ray Serve and Anyscale 🙌. Register Now 👇
linkedin.com
Agentic systems are powerful – but scaling them can be painful. In the first part of our webinar series, we introduced the Model Context Protocol (MCP) – an open, model-agnostic interface that...
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RT @robertnishihara: In large part due to Philipp's work on TRPO, reinforcement learning was one of the original motivating use cases that….
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Ray will be at ICML!.
🚀 Heading to #ICML2025 in Vancouver? Join us for drinks, snacks, & hot takes with Anyscale + @turingcom. - Kimi K2.- context engineering.- lesson-based learning.- the fossil fuel of AI. 📅 Wed Jul 16, 7-10 PM downtown. Spots limited — RSVP 👉
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🚨Last chance to submit your CFP for Ray Summit 2025🚨. The Call for Proposals closes tonight. This is your final opportunity to speak at Ray Summit, happening in San Francisco, November 3–5. Have you:. • Built something cool with Ray?. • Solved a scaling challenge?. •.
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RT @bigdata: How WeChat (Tencent) Built #AI Infrastructure Supporting Millions of Nodes with Ray and Kubernetes.(@raydistributed @kubernete….
anyscale.com
See how the Tencent Weixin team implemented Ray and Kubernetes to build ultra-large-scale distributed systems with Ray.
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RT @robertnishihara: Kimi K2 looks awesome. This blog post talks a little bit about how they use @raydistributed for data processing. htt….
alibabacloud.com
This article introduces how Moonshot AI uses Alibaba Cloud's solutions to enhance data preprocessing for its large model, Kimi, focusing on stability, resource elasticity, and efficient management.
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Scaling agentic systems? Part 2 of our Agentic AI and MCP series is for you. On July 23, we’re hosting a hands-on lab with four live demos on deploying MCP with Ray Serve and Anyscale – covering real-world patterns for production-ready systems. Save you spot:
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The Ray Summit CfP is closing on July 14!. We'll be back in San Francisco from Nov 3-5 for Ray Summit and want to showcase your work. Whether it's scaling smoother, building GenAI workflows, or creating complex ML systems - if you've built it with Ray, we want to hear about it.
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🚨Last call!🚨. LLMs are evolving — your integration strategy should too. MCP (aka the “USB-C of AI apps”) fixes fragile wrappers, glue code & logging chaos. Join us tomorrow, July 9 at 10am PT for a live webinar: Unlocking AI with MCP:.• How MCP evolved from LLM hacks to
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