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Samsung patents method to store AI model data on specialized SSDs

Samsung describes a way to manage large AI models by storing their core data, called embedding tables, on a specific type of fast storage drive known as a memory semantic SSD. The system moves this data to a graphics processing unit for processing and then sends the updated results back to the drive to keep the model current.

Why it mattersThis filing focuses on optimizing how hardware handles large AI models, which could lead to more efficient data processing in future devices.

In the filing’s own words

A method and apparatus of managing an embedding table, an electric device, a storage medium, a system and a computer program product, wherein the method includes: acquiring input data; looking up embedding vectors corresponding to the input data from an embedding table of a model stored in a memory semantic solid state drive (MS SSD); transferring the embedding vectors from the MS SSD to a graphics processing unit (GPU); and instructing the GPU to transfer updated embedding vectors to the MS SSD for updating the embedding table, the updated embedding vectors acquired by training the model based on the embedding vectors transferred to the GPU.

What exactly they claim (claim 1)

1. A method of managing an embedding table by a processor, the method comprising acquiring input data; looking up embedding vectors corresponding to the input data from an embedding table of a model stored in a memory semantic solid state drive (MS SSD); transferring the embedding vectors acquired from the MS SSD to a graphics processing unit (GPU); and instructing the GPU to transfer updated embedding vectors to the MS SSD for updating the embedding table, the updated embedding vectors acquired by training the model based on the embedding vectors transferred to the GPU.

Facts

Company
Samsung (Samsung Electronics Co., Ltd.)
Official title
METHOD AND APPARATUS OF MANAGING EMBEDDING TABLE, ELECTRONIC DEVICE, STORAGE MEDIUM, SYSTEM AND COMPUTER PROGRAM PRODUCT
Publication number
US20260267843A1
Application number
19173086
Filed
Apr 8, 2025
Published
Sep 10, 2026
Inventors
3
Claims
22

Classified under

G06F 16/2237 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.