Ray
Ray Decouples Code, Dependencies, and Multilanguage Scheduling
Ray 2.58.0 explains runtime_env, Ray Client, and Java/C++ bindings, highlighting deployment and operational challenges in distributed AI.
Back to home
Ray
4 articles tagged with this topic
Alibaba Cloud
Alibaba Cloud adds checkpoint to Ray — batch AI no longer wastes hours
Alibaba Cloud's Ray checkpoint skips completed records on retry, saving hours of recompute. Signal: enterprise AI shifts from "just runs" to "runs rel
AWS
AWS Makes Distributed AI Training One-Click — The Cloud War For Enterprise AI
AWS brings Ray to SageMaker HyperPod, making distributed AI training one-click. Cloud vendors are racing for AI-curious companies with no ML Ops team.
Data Juicer
Alibaba Cloud PAI Processes 2M Videos in 200 Min via DataJuicer
Alibaba Cloud PAI ran a 7-stage video ML pipeline on 2M files (30 K hours) across 45 NVIDIA 5090 nodes in 200 minutes.
Apr 144 min readopcnew Editorialjuejin.cn