92 citations · 125 across the 10 of their papers we have counts for
4 papers · 1 filter
Designing Datacenter Power Delivery Hierarchies for the AI Era
Grant Wilkins, Fiodar Kazhamiaka, Alok Gautam Kumbhare +2
Demand for AI accelerators is rapidly increasing rack power density, with projections approaching 1MW per deployment by 2027. This poses a major challenge for datacenter power deli…
XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu +7
AI power demand is growing at an unprecedented rate while power grids are often ailing and struggle to keep up. Grid expansion comes with high capital expenditure and long-distance…
AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
Tella Rajashekhar Reddy, Palak, Rohan Gandhi +8
AI power demand is growing unprecedentedly thanks to the high power density of AI compute and the emerging inferencing workload. On the supply side, abundant wind power is waiting…
POLCA: Power Oversubscription in LLM Cloud Providers
Pratyush Patel, Esha Choukse, Chaojie Zhang +4
Recent innovation in large language models (LLMs), and their myriad use-cases have rapidly driven up the compute capacity demand for datacenter GPUs. Several cloud providers and ot…