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Feb 11, 2026 · Artificial Intelligence

Reduce Memory by 75% Using D‑CHAG’s Cross‑Channel Hierarchical Aggregation

Researchers at Oak Ridge National Laboratory introduced D‑CHAG, a distributed cross‑channel hierarchical aggregation method that cuts memory consumption by up to 75% and more than doubles throughput when training massive multi‑channel foundation models on up to 1,024 AMD GPUs, as demonstrated on hyperspectral imaging and weather‑forecasting workloads.