DEEPSEEK
Anyscale Showcases AI Innovations at AWS re:Invent 2025
Anyscale highlights AI solutions with Ray at AWS re:Invent 2025, featuring demos, talks, and executive events for enhanced machine learning operations.
Ray Enhances Scheduling with New Label Selectors
Ray introduces label selectors, enhancing scheduling capabilities for developers, allowing more precise workload placement on nodes. The feature is a collaboration with Google Kubernetes Engine.
Enhancing RAG Pipelines with Ray and Anyscale for Scalable AI Solutions
Explore how Ray and Anyscale empower developers to build scalable Retrieval-Augmented Generation (RAG) pipelines, reducing hallucinations and integrating new information without retraining models.
RayTurbo Data Enhancements Boost Processing Speed by Fivefold
Anyscale's RayTurbo Data introduces significant improvements, offering up to 5x faster data processing. Key features include job-level checkpointing, vectorized aggregations, and optimized pipeline rules.
Anyscale Expands AI Compute Capabilities with New Multi-Cloud and AKS Support
Anyscale introduces enhanced AI compute solutions with support for Azure Kubernetes Service, Global Resource Scheduler, and upcoming multi-deployment management, optimizing resource utilization and scaling across cloud platforms.
Anyscale Enhances Ray Data with Joins and Hash-Shuffle for Improved Performance
Anyscale introduces a hash-based shuffle backend in Ray Data, enhancing joins and performance for repartitioning and aggregations. Discover the advancements in the Ray 2.46 release.
Anyscale Launches Ray Train and Ray Data Dashboards for Enhanced Observability
Anyscale introduces Ray Train and Ray Data Dashboards, offering new features for improved observability and performance optimization in distributed AI model training and data pipelines.
Google Cloud and Anyscale Collaborate to Enhance AI Development with RayTurbo Integration
Google Cloud and Anyscale have partnered to integrate RayTurbo with Google Kubernetes Engine, enhancing AI application development and scaling. This collaboration aims to simplify and optimize AI workloads.
Anyscale Introduces Comprehensive Ray Training Programs
Anyscale launches new training options for Ray, including free eLearning and instructor-led courses, catering to AI/ML engineers seeking to scale AI applications effectively.
Anyscale Unveils Deployment of DeepSeek R1 for AI Scalability
Anyscale introduces the deployment of DeepSeek R1, offering enhanced control, scalability, and transparency for AI models across various infrastructures without vendor constraints.