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Kourosh Hakhamaneshi, Rehaan Ahmad |
Aug 11, 2023 |
5637 |
308 |
| Machine Learning for Developers |
Goku Mohandas |
Jul 26, 2023 |
688 |
- |
| Processing 2 Billion Images for Stable Diffusion Model Training - Definitive Guides with Ray Series |
Max Pumperla, Marwan Sarieddine |
May 14, 2024 |
4209 |
- |
| Ray Summit 2022 stories - ML Platforms |
Anyscale Ray Team |
Mar 03, 2023 |
628 |
- |
| LiveEO supercharges their ML infrastructure and accelerates their geospatial workloads practice |
Toby Rahloff, Phi Nguyen, Alex Streed |
Apr 14, 2023 |
658 |
- |
| Anyscale Endpoints: Embedding endpoint, Llama-2 70B fine-tuning and improved sign-up experience |
Anyscale team |
Nov 30, 2023 |
376 |
- |
| Fine-Tuning LLMs: LoRA or Full-Parameter? An in-depth Analysis with Llama 2 |
Artur Niederfahrenhorst, Kourosh Hakhamaneshi, Rehaan Ahmad |
Sep 06, 2023 |
3597 |
22 |
| Announcing Ray 2.3: performance improvements, new features and new platforms |
Richard Liaw, Cade Daniel, Jules S. Damji, Zhe Zhang |
Feb 24, 2023 |
1329 |
- |
| Building a Self Hosted Question Answering Service using LangChain + Ray in 20 minutes |
Waleed Kadous |
May 08, 2023 |
1693 |
- |
| How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience |
Anyscale Ray Team |
Nov 09, 2023 |
1259 |
- |
| How continuous batching enables 23x throughput in LLM inference while reducing p50 latency |
Cade Daniel, Chen Shen, Eric Liang, Richard Liaw |
Jun 22, 2023 |
3568 |
110 |
| Building an LLM open source search engine in 100 lines using LangChain and Ray |
Waleed Kadous |
Apr 18, 2023 |
1780 |
3 |
| 10 must-attend Ray Summit sessions: Generative AI, scalable ML workloads, and more |
Jules S. Damji, Ben Lorica |
May 10, 2023 |
1078 |
- |
| Improve Utilization and Simplify Cluster Management with Anyscale Job Queues |
Dominic Catalano, Alexey Kudinkin |
Jul 23, 2024 |
735 |
- |
| Ray Summit 2024 Call for Proposals is now open |
Anyscale team |
Apr 19, 2024 |
264 |
- |
| Anyscale and Meta Collaborate to Advance the Llama-2 Ecosystem |
Robert Nishihara, Joe Spisak |
Sep 07, 2023 |
325 |
- |
| Open Source LLMs: Viable for Production or a Low-Quality Toy? |
Anyscale Ray Team |
Nov 20, 2023 |
855 |
- |
| How ByteDance Scales Offline Inference with multi-modal LLMs to 200 TB Data |
Amog Kamsetty, Hao Chen, Liguang Xie |
Aug 14, 2023 |
1872 |
7 |
| Ray 2.5 features training and serving for LLMs, Multi-GPU training in RLlib, and enhanced Ray Data support |
Richard Liaw, Jules S. Damji |
Jun 13, 2023 |
1681 |
- |
| Llama, Scaling Up LLMs in an Open Ecosystem |
Anyscale Ray Team |
Oct 16, 2023 |
1246 |
- |
| Build and Scale a Powerful Query Engine with LlamaIndex and Ray |
Jerry Liu, Amog Kamsetty |
Jun 26, 2023 |
2524 |
- |
| Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction |
Matt Connor, Akshay Malik, Cindy Zhang |
Jul 15, 2024 |
883 |
- |
| 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 |
Mar 22, 2023 |
2713 |
- |
| Heterogeneous Training Cluster with Ray at Netflix |
Anyscale Ray Team |
Oct 20, 2023 |
902 |
- |
| Advances in Foundation Models — Technology, Society, and Applications |
Anyscale Ray Team |
Nov 03, 2023 |
1460 |
- |
| Ray 2.6 features streaming for Serve and Train and new Multi-GPU Learner API |
Jules S. Damji, Richard Liaw |
Jul 25, 2023 |
1426 |
- |
| Comparing LLM performance: Introducing the Open Source Leaderboard for LLM APIs |
Anyscale team |
Dec 21, 2023 |
1202 |
2 |
| Ray Serve: Tackling the cost and complexity of serving AI in production |
Akshay Malik, Edward Oakes, Phi Nguyen |
Sep 25, 2023 |
2392 |
- |
| We Pre-Trained Stable Diffusion Models on 2 billion Images and Didn't Break the Bank - Definitive Guides with Ray Series |
Max Pumperla, Marwan Sarieddine |
May 21, 2024 |
4553 |
- |
| Now Available: The LLM Router Template |
Amjad Almahairi |
Jul 19, 2024 |
256 |
- |
| Simplify your ML Development Cycle with Anyscale and Weights & Biases |
Phi Nguyen |
Jan 31, 2023 |
715 |
- |
| Why I Joined Anyscale: Solving Cutting-Edge Problems in a Time of Enormous Change |
Sidney Rabsatt |
Apr 19, 2023 |
260 |
- |
| Announcing Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving |
Richard Liaw, Jules S. Damji, Jiajun Yao |
Apr 27, 2023 |
1692 |
- |
| Anyscale Endpoints Preview: Fast, Cost-Efficient, and Scalable LLM APIs |
Ameer Haj Ali, Robin Singh |
Aug 03, 2023 |
363 |
- |
| Fine-tuning LLMs for longer context and better RAG systems |
Artur Niederfahrenhorst, Kourosh Hakhamaneshi |
Feb 13, 2024 |
2847 |
1 |
| Building Production AI Applications with Ray Serve |
Anyscale Ray Team |
Oct 24, 2023 |
1213 |
- |
| How ThirdAI uses Ray for Parallel Training of Billion-Parameter Neural Networks on Commodity CPUs |
Vihan Lakshman, Pratik Pranav, Siddharth Jain, Tharun Medini |
Aug 29, 2023 |
1643 |
78 |
| Ray 2.7 features major stability improvements to Ray AI Libraries and KubeRay and introduces RayLLM |
Jules S. Damji, Richard Liaw |
Sep 18, 2023 |
1798 |
- |
| Optimizing LLM Training with Airbnb's Next-Gen ML Platform |
Anyscale Ray Team |
Oct 30, 2023 |
1048 |
- |
| Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10 |
Ramit Hora |
Apr 09, 2024 |
596 |
- |
| Introducing Anyscale’s Unified Log Viewer |
Alan Guo, Gene Su |
Jul 18, 2024 |
405 |
- |
| Cross-modal Search for E-commerce: Building and Scaling a Cross-Modal Image Retrieval App |
Marwan Sarieddine, Natalia Czerep, Mateusz Kwasniak, Artur Zygadło |
Jun 04, 2024 |
3253 |
- |
| Ray breaks the $1/TB barrier as the world’s most cost-efficient sorting system |
Frank Sifei Luan, UC Berkeley |
Jan 25, 2023 |
1257 |
36 |
| Reinventing Multi-Modal Search with Anyscale and MongoDB |
Marwan Sarieddine, Kamil Kaczmarek |
Jul 25, 2024 |
5145 |
- |
| Practical Data Considerations for Building Production-Ready LLM Applications |
Anyscale Ray Team |
Oct 19, 2023 |
1116 |
- |
| Llama 2 is about as factually accurate as GPT-4 for summaries and is 30X cheaper |
Waleed Kadous |
Aug 23, 2023 |
2933 |
143 |
| New on Anyscale: Debug and Optimize Ray Applications Faster with Structured Logging |
Jiajun Yao, Kai-Hsun Chen |
Jul 16, 2024 |
449 |
- |
| Easily Debug Ray Applications with Ray Distributed Debugger |
Anyscale team |
May 15, 2024 |
624 |
- |
| Inference Graphs at LinkedIn Using Ray-Serve |
Anyscale Ray Team |
Nov 09, 2023 |
1267 |
- |
| End-to-end LLM Workflows Guide |
Goku Mohandas |
Jun 17, 2024 |
4910 |
1 |
| Building Context-Aware Reasoning Applications with LangChain and LangSmith |
Anyscale Ray Team |
Oct 18, 2023 |
1214 |
- |
| Ray 2.2: Improved developer experience, performance and stability |
Richard Liaw |
Jan 23, 2023 |
789 |
- |
| Building an LLM-powered GitHub bot to improve your pull requests |
Max Pumperla |
Nov 15, 2023 |
3491 |
- |
| Introducing RLlib Multi-GPU Stack for Cost Efficient, Scalable, Multi-GPU RL Agents Training |
Avnish Narayan, Kourosh Hakhamaneshi |
Jun 26, 2023 |
1058 |
- |
| Building an LLM Router for High-Quality and Cost-Effective Responses |
Amjad Almahairi |
Jul 01, 2024 |
4430 |
1 |
| Don’t Miss: Hands-On Ray Training at Ray Summit 2024 |
Kamil Kaczmarek |
Aug 13, 2024 |
788 |
- |
| Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM |
Neelay Shah, Akshay Malik |
Mar 13, 2024 |
642 |
- |
| Many Models Batch Training at Scale with Ray Core |
Jules S. Damji, Antoni Baum |
Jan 19, 2023 |
2178 |
- |
| Fine tuning is for form, not facts |
Waleed Kadous, Kourosh Hakhamaneshi |
Jul 05, 2023 |
1631 |
- |
| Introducing the Anyscale Snowflake Connector |
Eric Greene |
Jul 20, 2023 |
745 |
- |
| Reducing the Cost of Pre-training Stable Diffusion by 3.7x with Anyscale |
Yunxuan Xiao, Hao Chen |
May 09, 2024 |
2176 |
5 |
| How Ray solves common production challenges for generative AI infrastructure |
Antoni Baum, Eric Liang, Jun Gong, Kai Fricke, Richard Liaw |
Mar 20, 2023 |
1494 |
- |
| Streaming distributed execution across CPUs and GPUs |
Eric Liang, Stephanie Wang, Cheng Su |
May 11, 2023 |
2067 |
- |
| Ray Summit Series - Scaling Parallel Python Jobs |
Anyscale Ray Team |
Mar 16, 2023 |
599 |
- |
| Forecasting at Scale |
Phi Nguyen, Max Mergenthaler |
Feb 02, 2023 |
683 |
- |
| Introducing the Anyscale Databricks Connector |
Eric Greene |
Jun 15, 2023 |
632 |
- |
| Ray Summit 2023 Call for Proposals is now open |
Jules S. Damji |
Jan 12, 2023 |
777 |
- |
| Fast, flexible, and scalable data loading for ML training with Ray Data |
Stephanie Wang, Scott Lee, Cheng Su, Hao Chen, Eric Liang |
Sep 15, 2023 |
3238 |
4 |
| Anyscale and Lambda - Addressing AI Scarcity with Engineering |
Anyscale team |
Nov 21, 2023 |
585 |
- |
| RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone |
Scott Lee, Kyle Huang, Cheng Su, Hao Chen |
Jan 16, 2024 |
995 |
1 |
| Ray 2.8 features Ray Data extensions, AWS Neuron cores support, and Dashboard improvements |
Jules S. Damji, Richard Liaw |
Nov 07, 2023 |
791 |
- |
| Update on Ray CVE-2023-48022: New Verification Tooling Available |
Anyscale team |
Mar 27, 2024 |
606 |
- |
| Update on Ray CVEs CVE-2023-6019, CVE-2023-6020, CVE-2023-6021, CVE-2023-48022, CVE-2023-48023 |
Anyscale team |
Nov 30, 2023 |
508 |
- |
| Ray Spotlight Series: Multitenant Serve Applications with Runtime Envs as Containers |
Sam Chan, Cindy Zhang |
Jun 13, 2024 |
800 |
- |
| How to fine tune and serve LLMs simply, quickly and cost effectively using Ray + DeepSpeed + HuggingFace |
Waleed Kadous, Jun Gong, Antoni Baum, Richard Liaw |
Apr 10, 2023 |
2055 |
- |
| Turbocharge LangChain: guide to 20x faster embedding |
Amog Kamsetty, Philipp Moritz |
May 03, 2023 |
1934 |
- |
| Direct Preference Optimization with Synthetic Data on Anyscale |
Franklin Wang, Sumanth Hegde, Kourosh Hakhamaneshi |
Aug 21, 2024 |
9249 |
1 |
| Anyscale Endpoints: JSON Mode, Function calling, New models: Llama Guard and Mistral-7B-OpenOrca |
Endpoints Team |
Dec 12, 2023 |
186 |
- |
| Loading Llama-2 70b 20x faster with Anyscale Endpoints |
Yi Cheng, Cade Daniel, Chen Shen, Liguang Xie |
Oct 11, 2023 |
1961 |
5 |
| Portkey ♥️ Anyscale Endpoints |
Endpoints Team |
Dec 12, 2023 |
564 |
- |
| Scaling Model Batch Inference in Ray: Using Actors, ActorPool, and Ray Data |
Eric Liang, Jules S. Damji, Zhe Zhang |
May 16, 2023 |
1856 |
- |
| Numbers every LLM Developer should know |
Waleed Kadous |
May 17, 2023 |
1423 |
95 |
| Automatic and optimistic memory scheduling for ML workloads in Ray |
Clarence Ng, Jules S. Damji |
Mar 02, 2023 |
2423 |
- |
| Ray Summit 2022 Stories - Large Language Models |
Anyscale Ray Team |
Feb 16, 2023 |
680 |
- |
| LLM-based summarization: A case study of human, Llama 2 70b and GPT-4 summarization quality |
Justin Olsson, Waleed Kadous |
Nov 09, 2023 |
1195 |
1 |
| Welcome Keerti |
Robert Nishihara |
Jul 31, 2024 |
743 |
2 |
| Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker |
Amog Kamsetty, Eric Liang, Jules S. Damji |
May 04, 2023 |
2042 |
- |
| Introducing Elastic Distributed Training on Anyscale |
Matthew Deng, Justin Yu |
Jul 22, 2024 |
478 |
- |
| Why I Joined Anyscale: Powering an Open Source AI Revolution |
Lance Walter |
Apr 28, 2023 |
799 |
- |
| Anyscale Endpoints: JSON Mode and Function calling Features |
Endpoints Team |
Dec 12, 2023 |
2050 |
2 |
| Announcing Anyscale Private Endpoints and Anyscale Endpoints Fine-tuning |
Matt Connor, Robin Singh |
Oct 24, 2023 |
467 |
3 |
| Cloud Infrastructure for LLM and Generative AI Applications |
Yifei Feng, Sriram Sankar, Siddharth Venkatesh, Ameer Haj Ali |
Sep 14, 2023 |
1868 |
4 |
| Building RAG-based LLM Applications for Production |
Goku Mohandas, Philipp Moritz |
Oct 25, 2023 |
10794 |
11 |
| Faster stable diffusion fine-tuning with Ray AIR |
Kai Fricke |
Mar 28, 2023 |
1627 |
- |
| Announcing Aviary: Open Source Multi-LLM Serving |
Waleed Kadous |
May 31, 2023 |
743 |
24 |
| Reproducible Performance Metrics for LLM inference |
Waleed Kadous, Kyle Huang, Wendi Ding, Liguang Xie, Avnish Narayan, Ricky Xu |
Nov 01, 2023 |
2495 |
2 |
| Ray Spotlight: How we delivered Ray weekly releases |
Sam Chan |
Jun 25, 2024 |
629 |
- |
| Inspecting Sewer Line Safety Using Thousands of Hours of Video |
Lance Walter |
May 22, 2023 |
814 |
- |
| Blue River Technology Developers Iterate 2.5X Faster with the Anyscale Fully-Managed Ray Platform |
Uday Kanwar, Deb Daipayan |
Feb 27, 2023 |
608 |
- |
| Scaling Embedding Generation Pipelines From Pandas to Ray Data |
Marwan Sarieddine |
Sep 04, 2024 |
2154 |
- |
| Fine-tuning Llama-3, Mistral and Mixtral with Anyscale |
Marwan Sarieddine and Kamil Kaczmarek |
Sep 11, 2024 |
2256 |
- |
| Building a RAG Batch Inference Pipeline with Anyscale and Union |
Kevin Su and Kai-Hsun Chen |
Sep 12, 2024 |
1665 |
- |
| Roblox Guest Blog: Fast and Efficient Online Model Serving |
Younes Abouelnagah |
Sep 19, 2024 |
2925 |
- |
| Accelerated Metadata Fetching in Ray Data up to 4.5x Faster on Anyscale |
Balaji Veeramani, Hao Chen, Richard Liaw, Matthew Connor and Praveen Gorthy |
Oct 01, 2024 |
607 |
- |
| Anyscale on Kubernetes: Simplifying AI Workloads on User-Managed Infrastructure |
Dominic Catalano and Yifei Feng |
Oct 01, 2024 |
792 |
- |
| Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency |
The Anyscale Team |
Oct 01, 2024 |
510 |
- |
| Batch LLM Inference on Anyscale slashes AWS Bedrock costs by up to 6x |
Cody Yu, Scott Lee, Ricky Xu, William Lin, Praveen Gorthy and Richard Liaw |
Oct 01, 2024 |
1180 |
- |
| Ray Data GA |
Hao Chen, Richard Liaw and Praveen Gorthy |
Oct 01, 2024 |
1037 |
- |
| Anyscale’s New User Experience: A Comprehensive Overview |
The Anyscale Team |
Oct 01, 2024 |
1161 |
- |
| Anyscale Now on GCP Marketplace |
The Anyscale Team |
Oct 01, 2024 |
381 |
- |
| Autoscaling Large AI Models up to 5.1x Faster on Anyscale |
Christopher Chou, Austin Kuo, Richard Liaw, Edward Oakes and Chris Sivanich |
Oct 01, 2024 |
1260 |
- |
| Enterprise Governance and Observability on Anyscale |
The Anyscale Team |
Oct 01, 2024 |
479 |
- |
| Announcing RayTurbo |
Akshay Malik, Praveen Gorthy and Richard Liaw |
Oct 01, 2024 |
1453 |
- |
| Ray Summit 2024: Breaking Through the AI Complexity Wall |
The Anyscale Team |
Oct 03, 2024 |
1600 |
- |
| Ray Compiled Graphs: Optimized AI Workloads with Native GPU Communication |
Sang Cho, Sam Chan and Stephanie Wang |
Oct 07, 2024 |
1910 |
- |
| Unlocking the Power of Scalable Machine Learning with Anyscale and Astronomer |
The Anyscale Team |
Oct 29, 2024 |
1063 |
- |
| Anyscale Named a Cool Vendor for AI Engineering by Gartner® |
The Anyscale Team |
Nov 13, 2024 |
399 |
- |
| Deploying DeepSeek R1 on Anyscale |
The Anyscale Team |
Feb 12, 2025 |
995 |
- |
| Introducing the Ray Kubectl Plugin: A Simpler Way to Manage Ray Clusters on Kubernetes |
The KubeRay Team |
Feb 20, 2025 |
1182 |
- |
| KubeRay v1.3.0: Enhancing Observability, Reliability, and Usability |
The KubeRay Team |
Feb 20, 2025 |
2151 |
- |
| uv + Ray: Pain-Free Python Dependencies in Clusters |
Christina Zhu and Philipp Moritz |
Feb 27, 2025 |
1718 |
1 |
| Announcing the Anyscale Technical Webinar Series: Learn Ray and Distributed AI |
The Anyscale Team |
Mar 06, 2025 |
413 |
- |
| Introducing the Ray for Practitioners Course and Private Training from Anyscale |
The Anyscale Team |
Mar 19, 2025 |
596 |
- |
| Announcing Native LLM APIs in Ray Data and Ray Serve |
The Anyscale Team |
Apr 02, 2025 |
1038 |
- |
| Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE |
Gabe Monroy, VP & GM Cloud Runtimes and Keerti Melkote, CEO of Anyscale |
Apr 09, 2025 |
579 |
- |