US 12,346,732 B2
Autonomous warehouse-scale computers
David Lo, Palo Alto, CA (US); Liqun Cheng, Palo Alto, CA (US); Parthasarathy Ranganathan, San Jose, CA (US); and Sundar Jayakumar Dev, San Jose, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Mar. 4, 2024, as Appl. No. 18/594,526.
Application 18/594,526 is a continuation of application No. 17/150,285, filed on Jan. 15, 2021, granted, now 11,960,936.
Prior Publication US 2025/0181400 A1, Jun. 5, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 9/46 (2006.01); G06F 9/50 (2006.01); G06N 20/00 (2019.01)
CPC G06F 9/5027 (2013.01) [G06N 20/00 (2019.01)] 18 Claims
OG exemplary drawing
 
1. A method of scheduling a workload to be processed on one or more computer servers, the method comprising:
generating, by one or more processors, a performance profile for the workload using a first software layer;
classifying, by the one or more processors, the workload using a machine learning model based on the performance profile;
generating, by the one or more processors, a record of selected platforms for the workload based on the classification of the workload using the first software layer; and
scheduling, by the one or more processors, the workload for processing on a hardware layer based on the record of selected platforms for the workload using a second software layer.