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 ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...
Ever since Edison’s Pearl Street station came online, it’s been challenging to match the amount of electricity being generation with the customer’s fluctuating load. It’s a delicate balance requiring ...
Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...
Abstract: Due to the imbalance distribution of the ground traffic demand and the high mobility of the Low Earth Orbit (LEO) satellites, how to balance network load under dynamic topology is a key ...
Abstract: Low earth orbit (LEO) satellite networks have become increasingly important for providing global communication services. However, the highly dynamic topology and uneven load distribution in ...
Arista adds cluster load balancing to its flagship operating system and AI job management capabilities to its CloudVision network observability platform. Arista Networks has added load balancing and ...
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