The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Abstract: Resource management for Deep Learning (DL) clusters is essential for system efficiency and model training quality. Existing schedulers provided by DL frameworks are mostly adaptations from ...

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...

The introduction of RDMA over Thunderbolt in macOS 26.2 marks a significant leap forward for local AI and HPC workflows. This feature allows Mac Studio systems to pool memory seamlessly, allowing ...