Dell Patent US12596932B2 - Prediction Model Deployment via Distributed Data Distillation

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published April 7th, 2026

Detected April 7th, 2026

Summary

The USPTO granted patent US12596932B2 to Dell Products L.P. covering methods for deploying prediction models using sketches generated through distributed data distillation. The patent describes a data node manager that identifies model deployment events, generates new models from a subset of data nodes specified in a registry, deploys models to data nodes, and updates the registry accordingly. The patent contains 12 claims and was filed on August 31, 2021.

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What changed

The USPTO issued patent grant US12596932B2 to Dell Products L.P. for methods and systems enabling prediction model deployment through distributed data distillation. The patented technology allows a data node manager to identify deployment events, generate new models using information from specified data nodes, deploy models across the network, and maintain an updated registry. The patent covers CPC classifications in knowledge management (G06N5/02), neural network training (G06N3/09), and distributed file systems (G06F16/182, G06F16/1748).\n\nFor technology companies and AI/ML practitioners, this patent establishes intellectual property rights around distributed model deployment techniques that may affect product development strategies. Organizations developing or using distributed machine learning systems should review this patent to assess potential licensing needs or design-around considerations to avoid infringement claims.

What to do next

Monitor for potential infringement of US12596932B2 by competitors deploying similar distributed model distillation methods
Review internal ML/AI deployment processes for potential licensing considerations
Document this patent grant for IP portfolio tracking purposes

Source document (simplified)

← USPTO Patent Grants

Method and system for deployment of prediction models using sketches generated through distributed data distillation

Grant US12596932B2 Kind: B2 Apr 07, 2026

Assignee

Dell Products L.P.

Inventors

Paulo Abelha Ferreira, Vinicius Michel Gottin

Abstract

Techniques described herein relate to a method for managing data nodes. The method includes identifying, by a data node manager associated with a plurality of data nodes, a model deployment event; in response to identifying the model deployment event: generating, by the data node manager, a new model using model generation information from a subset of the plurality of data nodes specified by a data node registry; deploying, by the data node manager, the new model to the plurality of data nodes; and updating the data node registry based on the new model to obtain an updated data node registry.