For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...
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: The uncertain nature of mapping user tasks to Virtual Machines (VMs) causes system failure or execution delay in Cloud Computing. To maximize cloud resource throughput and decrease user ...
The Trump administration’s recent “AI Action Plan” to expand artificial intelligence (AI) and data center infrastructure in the U.S. highlighted the need to accelerate innovation, build cutting-edge ...
1 Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 3 Department of ...
ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...
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 ...
Google is only the latest to fuse large language models with robots. The trend has big implications. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like ...
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