GPU Efficiency Monitoring
Large-scale GPU compute inefficiency is economically consequential because each recovered percentage point of utilisation can represent millions of dollars. OFU enables immediate zero-instrumentation visibility across heterogeneous GPU fle…
1 sources - 4 claims
Large-scale GPU compute inefficiency is economically consequential because each recovered percentage point of utilisation can represent millions of dollars. OFU enables immediate zero-instrumentation visibility across heterogeneous GPU fleets. An internal fleet review found average training MFU of about 20%, below the healthy range of 35–50%. Only about 20% of fleet workloads had application-level MFU reporting, leaving most GPU-hours outside efficiency monitoring.