Systems and methods for artificial intelligence distributed agent ecosystem resource optimization
AssigneeDell Products L.P.
InventorsTyler R. COX, Marc R. HAMMONS, Jarrett SIMERSON
Life of this patent
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Abstract
An information handling system may include a memory and a processor communicatively coupled to the memory, and configured to execute an agent system configured to collect and aggregate performance metrics from one or more artificial intelligence agents executing on one or more host systems and estimate parameters including resource requirements, performance targets, operating costs, and power usage associated with executing the one or more artificial intelligence agents on the one or more host systems.
Claims19
An information handling system comprising:
- a memory;
- and
- a processor communicatively coupled to the memory, and configured to execute an agent system configured to:
- collect and aggregate performance metrics from one or more artificial intelligence agents executing on one or more host systems;
- and
- estimate parameters including resource requirements, performance targets, operating costs, and power usage associated with executing the one or more artificial intelligence agents on the one or more host systems.
A method comprising:
- collecting and aggregating performance metrics from one or more artificial intelligence agents executing on one or more host systems;
- and
- estimating parameters including resource requirements, performance targets, operating costs, and power usage associated with executing the one or more artificial intelligence agents on the one or more host systems.
An article of manufacture comprising:
- a non-transitory computer-readable medium;
- and
- computer-executable instructions carried on the computer-readable medium, the instructions readable by a processor, the instructions, when read and executed, for causing the processor to:
- collect and aggregate performance metrics from one or more artificial intelligence agents executing on one or more host systems;
- and
- estimate parameters including resource requirements, performance targets, operating costs, and power usage associated with executing the one or more artificial intelligence agents on the one or more host systems.
Dependencies are inferred from the claim text.