{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12001511","patent":{"patent_number":"US-12001511","title":"Systems and methods of resource configuration optimization for machine learning workloads","assignee":null,"inventors":[],"filing_date":"2021-03-11T00:00:00.000Z","publication_date":"2024-06-04T00:00:00.000Z","cpc_codes":["G06F","G06V","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"Systems and methods can be configured to determine a plurality of computing resource configurations used to perform machine learning model training jobs. A computing resource configuration can comprise: a first tuple including numbers of worker nodes and parameter server nodes, and a second tuple including resource allocations for the worker nodes and parameter server nodes. At least one machine learning training job can be executed using a first computing resource configuration having a first set of values associated with the first tuple. During the executing the machine learning training job: resource usage of the worker nodes and parameter server nodes caused by a second set of values associated with the second tuple can be monitored, and whether to adjust the second set of values can be determined. Whether a stopping criterion is satisfied can be determined. One of the plurality of computing resource configurations can be selected."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods of resource configuration optimization for machine learning workloads","description":"Systems and methods can be configured to determine a plurality of computing resource configurations used to perform machine learning model training jobs. A computing resource configuration can compris","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12001511","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-12001511","citation_suggestion":"Patentable. \"Systems and methods of resource configuration optimization for machine learning workloads\" (US-12001511). https://patentable.app/patents/US-12001511","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12001511","json":"https://patentable.app/api/llm-context/US-12001511","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:56:57.073Z"}