|
Training 175B Parameter Language Models at 1000 GPU scale with Alpa and Ray
|
Jiao Dong, Hao Zhang, Lianmin Zheng, Jun Gong, Jules S. Damji, Phi Nguyen |
2023-03-22 |
2,713 |
--
|
|
How Ray solves common production challenges for generative AI infrastructure
|
Antoni Baum, Eric Liang, Jun Gong, Kai Fricke, Richard Liaw |
2023-03-20 |
1,494 |
--
|
|
Ray Summit Series - Scaling Parallel Python Jobs
|
Anyscale Ray Team |
2023-03-16 |
599 |
--
|
|
Ray Summit 2022 stories - ML Platforms
|
Anyscale Ray Team |
2023-03-03 |
628 |
--
|
|
Automatic and optimistic memory scheduling for ML workloads in Ray
|
Clarence Ng, Jules S. Damji |
2023-03-02 |
2,423 |
--
|
|
Blue River Technology Developers Iterate 2.5X Faster with the Anyscale Fully-Managed Ray Platform
|
Uday Kanwar, Deb Daipayan |
2023-02-27 |
608 |
--
|
|
Announcing Ray 2.3: performance improvements, new features and new platforms
|
Richard Liaw, Cade Daniel, Jules S. Damji, Zhe Zhang |
2023-02-24 |
1,329 |
--
|
|
Ray Summit 2022 Stories - Large Language Models
|
Anyscale Ray Team |
2023-02-16 |
680 |
--
|
|
Forecasting at Scale
|
Phi Nguyen, Max Mergenthaler |
2023-02-02 |
683 |
--
|
|
Simplify your ML Development Cycle with Anyscale and Weights & Biases
|
Phi Nguyen |
2023-01-31 |
715 |
--
|
|
Ray breaks the $1/TB barrier as the world’s most cost-efficient sorting system
|
Frank Sifei Luan, UC Berkeley |
2023-01-25 |
1,257 |
36
|
|
Ray 2.2: Improved developer experience, performance and stability
|
Richard Liaw |
2023-01-23 |
789 |
--
|
|
Many Models Batch Training at Scale with Ray Core
|
Jules S. Damji, Antoni Baum |
2023-01-19 |
2,178 |
--
|
|
Ray Summit 2023 Call for Proposals is now open
|
Jules S. Damji |
2023-01-12 |
777 |
--
|
|
Foobot optimizes building energy efficiency by training fully autonomous control agents for HVAC systems, bringing energy savings to office buildings, hospitals, schools and commercial buildings.
|
Antoine Galataud, Phi Nguyen, Inouk Bourgon, Adrien Lafond |
2022-12-19 |
751 |
--
|
|
Training One Million Machine Learning Models in Record Time with Ray
|
Eric Liang, Robert Nishihara |
2022-12-17 |
2,124 |
1
|
|
Three Key Elements of a Scalable ML Platform
|
Phi Nguyen |
2022-12-16 |
1,733 |
--
|
|
Flexible, cross-language, distributed model inference framework: Ray Serve with Java API
|
Tengwei Cai, Yang Liu, Chengxi Luo, Xiaofeng Yang, Simon Mo |
2022-12-13 |
910 |
--
|
|
How Ant Group uses Ray to build a Large-Scale Online Serverless Platform
|
Tengwei Cai, Yang Liu, Chengxi Luo, Xiaofeng Yang |
2022-12-12 |
2,353 |
3
|
|
Gang Scheduling Ray Clusters on Kubernetes with Multi-Cluster-App-Dispatcher (MCAD)
|
Abhishek Malvankar (IBM Research) and Dmitri Gekhtman (Anyscale) |
2022-11-16 |
1,406 |
1
|
|
Biolexis Boosts Their New AI/ML Drug Discovery Platform Using Anyscale’s Fully-Managed Ray Platform
|
Jake Carter, Phi Nguyen |
2022-11-09 |
622 |
--
|
|
Monitoring and Debugging Ray workloads: Ray Metrics
|
SangBin Cho, Alan Guo, Ricky Xu, Eric Liang |
2022-11-08 |
1,221 |
--
|
|
Adtriba Accelerates and Advances Media Mix Modeling Using the Anyscale Fully-Managed Ray Platform
|
Houssem Eddine Gharbi, Tim Kreienkamp, Phi Nguyen |
2022-11-08 |
957 |
--
|
|
Wildlife Studios Serves In-game Offers 3X Faster at 1/10th the Cost with Ray Serve
|
Tricia Fu |
2022-11-08 |
1,064 |
--
|
|
How Ray and Anyscale Make it Easy to Do Massive-Scale Machine Learning on Aerial Imagery
|
Richard Decal |
2022-11-08 |
1,563 |
--
|
|
Model Batch Inference in Ray: Actors, ActorPool, and Datasets
|
Eric Liang, Jules S. Damji, Zhe Zhang |
2022-11-03 |
2,084 |
4
|
|
Four Reasons Why Leading Companies Are Betting On Ray
|
Zhe Zhang, Ion Stoica, Ben Lorica |
2022-10-19 |
1,580 |
--
|
|
Ray Summit, the Industry Event for Scalable AI, Unveils New Innovations in Ray and the Anyscale Platform; Features Speakers from Uber, IBM, OpenAI, Shopify, Dow and Numerous Global Organizations
|
- |
2022-08-24 |
557 |
--
|
|
Anyscale Unveils Ray 2.0 and Anyscale Innovations at Ray Summit 2022; Adds an Additional $99M Funding from Existing Investors Addition, Intel Capital, and Foundation Capital
|
- |
2022-08-23 |
827 |
--
|
|
Announcing Ray 2.0
|
Anyscale Ray Team |
2022-08-23 |
705 |
--
|
|
Ray + Arize, Productionize ML for Scale and Usability
|
Dat Ngo |
2022-08-22 |
1,828 |
--
|
|
Ray Forward 2022
|
Zhe Zhang |
2022-08-18 |
1,855 |
--
|
|
Ray Serve + FastAPI: The best of both worlds
|
Phi Nguyen |
2022-08-02 |
1,229 |
--
|
|
Simplify your MLOps with Ray & Ray Serve
|
Phi Nguyen |
2022-07-26 |
1,167 |
--
|
|
Challenges of deploying ML models in production
|
Phi Nguyen |
2022-07-14 |
959 |
--
|
|
Reinforcement learning sessions at Ray Summit: A guided tour
|
Avnish Narayan, Christy Bergman, Jun Gong |
2022-06-23 |
874 |
--
|
|
Infusing AI and ML into integrated circuit design for faster chip delivery, better chip performance
|
IBM Research Team |
2022-06-16 |
1,390 |
--
|
|
How Nixtla uses Ray to accurately predict more than a million time series in half an hour
|
Nixtla Team |
2022-06-13 |
1,152 |
--
|
|
Ray 1.13: Improving support for shuffling terabyte-scale and larger datasets
|
Stephanie Wang, Jiao Dong, Dmitri Gekhtman, Sang Cho |
2022-06-09 |
680 |
--
|
|
7 must-attend Ray Summit sessions: RL-powered traffic control, infra-less ML, and more
|
Jules S. Damji, Ben Lorica |
2022-06-01 |
653 |
--
|
|
Life @ Anyscale: Investing in our communities
|
Tyler Faust |
2022-05-26 |
271 |
--
|
|
Multi-model composition with Ray Serve deployment graphs
|
Jiao Dong, Shreyas Krishnaswamy, Simon Mo, Edward Oakes |
2022-05-18 |
2,554 |
--
|
|
Handling files and packages on your cluster with Ray runtime environments
|
Archit Kulkarni, Edward Oakes |
2022-05-05 |
860 |
--
|
|
Riot Games and deep reinforcement learning in gaming
|
Erik Martinez |
2022-05-03 |
364 |
--
|
|
Smart supply chain management with reinforcement learning at Dow
|
Erik Martinez |
2022-05-03 |
329 |
--
|
|
Reinforcement learning based on market simulation at JPMorgan
|
Erik Martinez |
2022-05-03 |
287 |
--
|
|
Siemens brings reinforcement learning to energy, transportation and logistics
|
Erik Martinez |
2022-05-03 |
334 |
--
|
|
What is distributed training?
|
Keith Pijanowski, Michael Galarnyk |
2022-04-26 |
727 |
--
|
|
New in KubeRay 0.2.0: Autoscaling (alpha), simplified installation, and more
|
Jiaxin Shan, KubeRay Team |
2022-04-19 |
524 |
--
|
|
Ray 1.12: Ray AI Runtime (alpha), usage data collection, and more
|
Paige Bailey, Richard Liaw, Jian Xiao, Chandler Gibbons |
2022-04-14 |
570 |
--
|
