Anyscale
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 Recognized as 2024 Cool Vendor in AI Engineering by Gartner
Anyscale has been named a 2024 Cool Vendor in AI Engineering by Gartner, highlighting its role as a leading AI platform overcoming AI complexity challenges.
Anyscale and Astronomer Collaborate to Enhance Scalable Machine Learning
Anyscale partners with Astronomer to streamline machine learning workflows using Apache Airflow and Ray, enhancing scalability and efficiency for data teams.
Anyscale Unveils Enhanced User Experience for AI Developers
Anyscale introduces a revamped user experience for its Workspaces, featuring advanced observability, streamlined dependency management, and serverless mode.
Anyscale Launches Cost-Effective Batch LLM Inference Solution
Anyscale introduces a new batch LLM inference solution, reducing costs significantly compared to AWS Bedrock and OpenAI.
Anyscale Now Available on AWS Marketplace, Achieves Generative AI Competency
Anyscale is now available on AWS Marketplace, offering optimized AI/ML solutions with AWS Generative AI Competency recognition.
Anyscale Explores Direct Preference Optimization Using Synthetic Data
Anyscale's latest blog post delves into Direct Preference Optimization (DPO) with synthetic data, highlighting its methodology and applications in tuning language models.
Keerti Melkote Takes Helm as CEO of Anyscale Amidst Rapid Growth
Anyscale has appointed Keerti Melkote as CEO, following significant growth driven by the adoption of its Ray platform in the AI sector.
Anyscale and MongoDB Collaborate to Enhance Multi-Modal Search
Anyscale and MongoDB join forces to revamp multi-modal search, offering scalable solutions and improved search relevance for e-commerce platforms.
Anyscale Introduces New Replica Compaction to Optimize Resource Usage
Anyscale launches Replica Compaction to address resource fragmentation, enhancing resource utilization and reducing costs for Ray Serve deployments.