Memory Solutions for Generative AI: Changing Capabilities

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Dec 24, 2024
Generative AI (Gen AI) applications require high-speed, high-bandwidth, and low-latency memory to process vast amounts of data in real time. Rapid data access becomes all the more critical when it comes to inference, where real time decision and prediction is required. ‘Memory Solutions for Generative AI’ will be published as a comprehensive series of reports covering the following topics: 1) Changing capability; 2) Changing competitive dynamics; 3) Made in China memory; and 4) Gen AI in mobile environment.

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Category

Industry

AI , Semiconductors

Report Type

Report

Time period

Other

Summary

Published

Dec 24, 2024

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Author

Brady Wang

Brady Wang has over 20 years of experience working in high-technology companies, ranging from semiconductor manufacturing to market intelligence and strategic advisory roles. Currently, at Counterpoint, Brady specializes in semiconductors, with a focus on cutting-edge applications such as automotive and advanced process nodes.

MS Hwang

MS Hwang is a research director at Counterpoint, specializing in memory semiconductor research. MS Hwang brings over 30 years of experience from Samsung Electronics and sell-side brokerage research roles including ABN AMRO, Goldman Sachs, Credit Suisse and Samsung Securities.

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