Nvidia patents chip system that adjusts processor count during AI tasks
Nvidia describes a method for running artificial intelligence models on multiple processors. The system starts a task with a specific number of chips and can switch to a different number of chips for the next part of the task based on what is available.
In the filing’s own words
In various examples, one or more neural networks are to be performed by a number of processors. The neural network may be reconfigured during inferencing such that the number of processors that start the inferencing is different from the number of processors that finish the inferencing.
What exactly they claim (claim 1)
1. One or more processors, comprising circuitry to: cause a first number of a plurality of processors to be used to perform a first portion of one or more neural networks; determine a second number of the plurality of processors to be caused to perform a second portion of the one or more neural networks, wherein the second number of processors is determined based, at least in part, on an availability of the second number of processors subsequent to performing the first portion of the one or more neural networks; and cause the plurality of processors to be reconfigured to perform the second portion of inferencing using the second number of processors.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- DYNAMIC PARALLELISM
- Publication number
- US20260311000A1
- Application number
- 19255550
- Filed
- Jun 30, 2025
- Published
- Oct 8, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06N 5/04 Physics & computingG06F 40/40 Physics & computingMore from Nvidia in AI & software
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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.