2 papers
eess.SY2026
Active Filter Design for Buffering Datacenter-Scale Power Fluctuations from Training AI
Dillon Jensen, Grant Wilkins, Obi Nnorom +3
Training large AI models requires thousands of processors working in parallel. This synchronized load poses a challenge for traditional power delivery architectures, because IT pow…
cs.AR2026
EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads
Dillon Jensen, Obi Nnorom, Grant Wilkins +4
Large-scale AI model training workloads use thousands of GPUs operating in tightly synchronized loops. During synchronous communication, start-up, shut-down, and checkpointing, GPU…