Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.

Microsoft had a cloud outage that interrupted service for Outlook, Fabric, Viva, Defender and other parts of its portfolio.

A hot-button term in the NBA in recent seasons has been "load management." What load management means is the practice of players, even stars, sitting out games, not because of any kind of injury, but ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

Abstract: Join-the-shortest queue (JSQ) and its variants have often been used in solving load balancing problems. The aim of such policies is to minimize the average system occupation, e.g., the ...

For users, few things are more frustrating than encountering unavailable services or unexpected downtime. Load balancing significantly reduces these occurrences through its built-in redundancy and ...

Buried inside the news from the VMware Explore event were a series of security related updates. The big headline was the expansion of security for AI, but there is more to the story. A core element of ...

If we use the FlightServiceClient to connect to a list of server instances, and a we call execute_query and then successive get_next_batch calls, will all these calls be to the same endpoint ...