AI workloads—which include model training, inference and real-time analytics—depend heavily on processing and moving data quickly, driving the semiconductor industry to develop specialized ...

Traditionally, data processing has been transaction-driven, where systems respond to individual requests or transactions. However, this model is proving increasingly inadequate in today’s fast-paced, ...

A new technical paper titled “New Tools, Programming Models, and System Support for Processing-in-Memory Architectures” was ...

Charmed Kubeflow uses charms to assist with integrating and processing data that comes from various sources, Canonical said.