Back to results
US 2026/0064302 A1Published application
System and method for model orchestration
AssigneeGrid.ai, Inc.
InventorsLuis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
Life of this patent
Estimating the term…
Abstract
A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
Claims20
A method comprising, at an agent for a computing cluster in a set of computing clusters, each computing cluster comprising a set of machines:
- receiving a set of machine learning jobs;
- controlling execution of the set of machine learning jobs on the set of machines of the computing cluster to generate a first set of outputs;
- storing the first set of outputs in an object store, wherein the object store is shared across the set of computing clusters;
- retrieving a second set of outputs generated by a second computing cluster from the object store;
- and
- executing a second set of machine learning jobs based on the second set of outputs.
3 more elements
A system comprising:
- a set of clusters, each comprising a cluster orchestrator and a set of machines;
- a set of agents, wherein each agent controls job execution on a different cluster;
- an object store shared across the set of clusters and configured to store outputs generated during job execution on each cluster;
- and
- an agent orchestrator, configured to concurrently control execution of different sets of jobs on different clusters based on the outputs.
2 more elements
Dependencies are inferred from the claim text.