|
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
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Richard Decal |
2022-11-08 |
1,563 |
--
|
|
Biolexis Boosts Their New AI/ML Drug Discovery Platform Using Anyscale’s Fully-Managed Ray Platform
|
Jake Carter, Phi Nguyen |
2022-11-09 |
622 |
--
|
|
Gang Scheduling Ray Clusters on Kubernetes with Multi-Cluster-App-Dispatcher (MCAD)
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Abhishek Malvankar (IBM Research) and Dmitri Gekhtman (Anyscale) |
2022-11-16 |
1,406 |
1
|
|
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
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|
Flexible, cross-language, distributed model inference framework: Ray Serve with Java API
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Tengwei Cai, Yang Liu, Chengxi Luo, Xiaofeng Yang, Simon Mo |
2022-12-13 |
910 |
--
|
|
Three Key Elements of a Scalable ML Platform
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Phi Nguyen |
2022-12-16 |
1,733 |
--
|
|
Training One Million Machine Learning Models in Record Time with Ray
|
Eric Liang, Robert Nishihara |
2022-12-17 |
2,124 |
1
|
|
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 |
--
|
|
Ray Summit 2023 Call for Proposals is now open
|
Jules S. Damji |
2023-01-12 |
777 |
--
|
|
Many Models Batch Training at Scale with Ray Core
|
Jules S. Damji, Antoni Baum |
2023-01-19 |
2,178 |
--
|
|
Ray 2.2: Improved developer experience, performance and stability
|
Richard Liaw |
2023-01-23 |
789 |
--
|
|
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
|
|
Simplify your ML Development Cycle with Anyscale and Weights & Biases
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Phi Nguyen |
2023-01-31 |
715 |
--
|
|
Forecasting at Scale
|
Phi Nguyen, Max Mergenthaler |
2023-02-02 |
683 |
--
|
|
Ray Summit 2022 Stories - Large Language Models
|
Anyscale Ray Team |
2023-02-16 |
680 |
--
|
|
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 |
--
|
|
Blue River Technology Developers Iterate 2.5X Faster with the Anyscale Fully-Managed Ray Platform
|
Uday Kanwar, Deb Daipayan |
2023-02-27 |
608 |
--
|
|
Automatic and optimistic memory scheduling for ML workloads in Ray
|
Clarence Ng, Jules S. Damji |
2023-03-02 |
2,423 |
--
|
|
Ray Summit 2022 stories - ML Platforms
|
Anyscale Ray Team |
2023-03-03 |
628 |
--
|
|
Ray Summit Series - Scaling Parallel Python Jobs
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Anyscale Ray Team |
2023-03-16 |
599 |
--
|
|
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 |
--
|
|
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 |
--
|
|
Faster stable diffusion fine-tuning with Ray AIR
|
Kai Fricke |
2023-03-28 |
1,627 |
--
|
|
How to fine tune and serve LLMs simply, quickly and cost effectively using Ray + DeepSpeed + HuggingFace
|
Waleed Kadous, Jun Gong, Antoni Baum, Richard Liaw |
2023-04-10 |
2,055 |
--
|
|
LiveEO supercharges their ML infrastructure and accelerates their geospatial workloads practice
|
Toby Rahloff, Phi Nguyen, Alex Streed |
2023-04-14 |
658 |
--
|
|
Building an LLM open source search engine in 100 lines using LangChain and Ray
|
Waleed Kadous |
2023-04-18 |
1,780 |
3
|
|
Why I Joined Anyscale: Solving Cutting-Edge Problems in a Time of Enormous Change
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Sidney Rabsatt |
2023-04-19 |
260 |
--
|
|
Announcing Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving
|
Richard Liaw, Jules S. Damji, Jiajun Yao |
2023-04-27 |
1,692 |
--
|
|
Why I Joined Anyscale: Powering an Open Source AI Revolution
|
Lance Walter |
2023-04-28 |
799 |
--
|
|
Turbocharge LangChain: guide to 20x faster embedding
|
Amog Kamsetty, Philipp Moritz |
2023-05-03 |
1,934 |
--
|
|
Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker
|
Amog Kamsetty, Eric Liang, Jules S. Damji |
2023-05-04 |
2,042 |
--
|
|
Building a Self Hosted Question Answering Service using LangChain + Ray in 20 minutes
|
Waleed Kadous |
2023-05-08 |
1,693 |
--
|
|
10 must-attend Ray Summit sessions: Generative AI, scalable ML workloads, and more
|
Jules S. Damji, Ben Lorica |
2023-05-10 |
1,078 |
--
|
|
Streaming distributed execution across CPUs and GPUs
|
Eric Liang, Stephanie Wang, Cheng Su |
2023-05-11 |
2,067 |
--
|
|
Scaling Model Batch Inference in Ray: Using Actors, ActorPool, and Ray Data
|
Eric Liang, Jules S. Damji, Zhe Zhang |
2023-05-16 |
1,856 |
--
|
|
Numbers every LLM Developer should know
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Waleed Kadous |
2023-05-17 |
1,423 |
95
|
|
Inspecting Sewer Line Safety Using Thousands of Hours of Video
|
Lance Walter |
2023-05-22 |
814 |
--
|
|
Announcing Aviary: Open Source Multi-LLM Serving
|
Waleed Kadous |
2023-05-31 |
743 |
24
|
|
Ray 2.5 features training and serving for LLMs, Multi-GPU training in RLlib, and enhanced Ray Data support
|
Richard Liaw, Jules S. Damji |
2023-06-13 |
1,681 |
--
|
|
Introducing the Anyscale Databricks Connector
|
Eric Greene |
2023-06-15 |
632 |
--
|
|
How continuous batching enables 23x throughput in LLM inference while reducing p50 latency
|
Cade Daniel, Chen Shen, Eric Liang, Richard Liaw |
2023-06-22 |
3,568 |
110
|
|
Introducing RLlib Multi-GPU Stack for Cost Efficient, Scalable, Multi-GPU RL Agents Training
|
Avnish Narayan, Kourosh Hakhamaneshi |
2023-06-26 |
1,058 |
--
|
|
Build and Scale a Powerful Query Engine with LlamaIndex and Ray
|
Jerry Liu, Amog Kamsetty |
2023-06-26 |
2,524 |
--
|
|
Fine tuning is for form, not facts
|
Waleed Kadous, Kourosh Hakhamaneshi |
2023-07-05 |
1,631 |
--
|
|
Introducing the Anyscale Snowflake Connector
|
Eric Greene |
2023-07-20 |
745 |
--
|
|
Ray 2.6 features streaming for Serve and Train and new Multi-GPU Learner API
|
Jules S. Damji, Richard Liaw |
2023-07-25 |
1,426 |
--
|
|
Machine Learning for Developers
|
Goku Mohandas |
2023-07-26 |
688 |
--
|
|
Anyscale Endpoints Preview: Fast, Cost-Efficient, and Scalable LLM APIs
|
Ameer Haj Ali, Robin Singh |
2023-08-03 |
363 |
--
|
|
Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Models to Unique Applications
|
Kourosh Hakhamaneshi, Rehaan Ahmad |
2023-08-11 |
5,637 |
308
|
