Anyscale released agent skills for debugging Ray workloads, including /anyscale-platform-fix and /anyscale-platform-inspect, which automate troubleshooting of failing pipelines. A user demonstrated fi…
Two NVIDIA DGX Spark units were clustered over a 200 GbE link to serve the Qwen3-30B-A3B-Thinking model using Ray and vLLM with tensor parallelism. The setup required pinning all transport layers to t…
Adyen trained a Transaction Foundation Model on 51 trillion tokens using Ray, while Xoople, Criteo, and BMW shared their own scaling AI stories at Anyscale's Ray Day London event. The event highlighte…
At Anyscale's Ray Day: NYC event, Torc Robotics reported achieving 90% GPU utilization by consolidating its fragmented multimodal AI stack onto Ray, up from 30-40%. Discord detailed its ML platform ev…
Anyscale on Azure entered public preview, allowing Azure customers to provision the AI compute platform powered by Ray inside their own tenancy. Co-engineered with Microsoft, the integration inherits …
Anyscale released Agent Skills, a token-efficient tool for building Ray pipelines, and introduced a new maturity model for ML operations. The skills act as first responders across build, deploy, and o…
Ion Stoica, a UC Berkeley professor and co-founder of Databricks, delivered a keynote at Alumni House tracing how research problems led to foundational technologies like Apache Spark and Ray, which po…