DEEPSEEK
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.
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 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.
Anyscale Introduces Multi-Tenant Serve Applications with Containerized Runtime Environments
Anyscale unveils multi-tenant serve applications using runtime environments as containers, enhancing efficiency and reducing operational complexity.