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 ...

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. As your Nginx configuration grows, this will require changes to the file in which the upstream ...

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 ...

Forbes contributors publish independent expert analyses and insights. Mark Travers writes about the world of psychology. “The invisible load” can sneak its way into even the healthiest relationships.

Mixture-of-experts (MoE) models have emerged as a crucial innovation in machine learning, particularly in scaling large language models (LLMs). These models are designed to manage the growing ...

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1 Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China 2 State Grid Tianjin Electric Power Company, Tianjin, China The snow-shaped distribution network (SDN) is a ...