Systems for Machine Learning Lab

Most organisations in the region train and serve models on a handful of GPUs, often shared. The lab develops methods — memory-efficient fine-tuning, quantisation-aware serving, scheduling for shared clusters — that make frontier techniques practical at that scale, and operates the institute’s compute cluster as a living testbed.