77 citations · 77 across the 2 of their papers we have counts for
2 papers
cs.AR2026
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster
Ehsan K. Ardestani, Leonardo Piga, Jovan Stojkovic +19
The electric power supply for AI data centers is now the most significant bottleneck in the race toward Artificial General Intelligence, surpassing even the constraint of AI accele…
cs.DC2021★ 77 cited
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Mark Zhao, Niket Agarwal, Aarti Basant +14
Datacenter-scale AI training clusters consisting of thousands of domain-specific accelerators (DSA) are used to train increasingly-complex deep learning models. These clusters rely…