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OpenAI patents system to swap AI models in and out of memory

Patent drawing
Patent drawing from the official filing.

OpenAI has filed a patent for a method that manages how multiple customized AI models run on a server. The system prioritizes requests for models already in the computer's fast memory and swaps in new models only when needed, keeping unused models in slower storage to save space.

Why it mattersThis filing details a technical method for efficiently handling many different AI versions at once, which could help companies manage server costs when offering personalized AI services.

In the filing’s own words

The present technology pertains to a generative response system (“system”) that includes generative inference engines (“engines”) on each of which multiple fine-tuned models can be simultaneously loaded. A controller determines the order in which requests for respective fine-tuned models are queued/batched. Requests for currently loaded models (e.g., models currently on an engine) are processed first. Requests for a model that is not currently loaded are processed after swapping the model onto an engine, according to a caching hierarchy, to replace a long-dormant (or infrequently used) model. After being swapped off the inference engine, a system copy of the long-dormant model is maintained in system memory (e.g., CPU RAM) for easy retrieval in case the model is subsequently requested. After not being requested for an extended time, the system copy of the long-dormant model is removed and only a network copy is maintained in network storage.

What exactly they claim (claim 1)

1. A method, comprising: receiving, at a generative response system, a plurality of requests to generate responses based on respective fine-tuned models; organizing the plurality of requests into first requests and second requests based on which requests of the plurality of requests use currently-loaded fine-tuned models that are on one or more inference engines of the generative response system when the plurality of requests are received, wherein the first requests use the currently-loaded fine-tuned models and the second requests do no use the currently-loaded fine-tuned models; and processing the first requests; and processing the second requests, after processing the first requests.

Facts

Company
OpenAI (OpenAI OpCo, LLC)
Official title
PARALLEL PROCESSING FOR FINE-TUNED MODEL GENERATIVE RESPONSE MODELS AND THE MEMORY MANAGEMENT THEREOF
Publication number
US20260310938A1
Application number
19170532
Filed
Apr 4, 2025
Published
Oct 8, 2026
Inventors
4
Claims
20

Classified under

G06N 3/0455 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.