PinnedAbhishek MalvankarPacking workloads on AI supercomputer in the cloudAuthors: Abhishek Malvankar, Alaa Youssef, Asser Tantawi, Olivier Tardieu, and Carlos CostaMar 15, 2023Mar 15, 2023
PinnedAbhishek MalvankarInstaScale: Aggregate node scaler for guaranteed execution of AI workloadsAuthors: Abhishek Malvankar, Alaa Youssef, Diana Arroyo, and Olivier TardieuMay 1, 2023May 1, 2023
PinnedRaghu K GantiAIX360 meets CodeFlare: How to scale explainability using CodeFlare pipelinesAuthors: Carlos Costa, Amit Dhurandhar, Raghu Ganti, Mudhakar Srivatsa, Kush R. VarshneySep 29, 2021Sep 29, 2021
PinnedRaghu K GantiCodeFlare PipelinesSeamless scaling of complex workflows from laptop to clustersJun 22, 20211Jun 22, 20211
PinnedOlivier TardieuRayvens: event sources, sinks, and event-driven programming with RayRayvens is a new Python library that augments Ray with events. Rayvens leverages Apache Camel to offer hundreds of event sources and sinks.Jun 22, 2021Jun 22, 2021
Gheorghe-Teodor BerceaServerless stream processing with Rayvens on Ray.ioRayvens seamlessly integrates Ray.io, Apache Camel, and Kafka to empower data scientists to build scalable stream processing applications…Dec 9, 2021Dec 9, 2021
Gheorghe-Teodor BerceaEvent-driven data processing with IBM Cloud Object Storage and Ray.ioHow to easily monitor, consume, and produce data hosted in IBM Cloud Object Storage with Rayvens.Oct 12, 2021Oct 12, 2021
Gheorghe-Teodor BerceaAccessing hundreds of event sources and sinks with RayvensHow to connect event sources and sinks to Ray programs using the Rayvens library.Aug 23, 2021Aug 23, 2021
Gil VernikAccelerating object storage processing for Ray frameworkRay is a distributed execution framework that makes it easy to scale computing applications. Originally created at UC Berkley, Ray was…Jul 15, 2021Jul 15, 2021
Olivier TardieuRayvens event streamsHow to consume, process, and produce event streams in Ray programs with the Rayvens library.Jul 6, 2021Jul 6, 2021
