Digital Storage and Memory for AI from the Edge to the Data Center
Applying AI at the edge and endpoints often requires working under non-data center environments and in power constrained conditions. AI inference also requires significant memory to hold weighting values from training. New non-volatile memories can help provide more memory in a given device die and use less power than NOR flash, SRAM or DRAM. This presentation will talk about changes in the memory/storage hierarchy and how it will change memory and storage in data centers and embedded devices to support energy efficient and low latency AI applications.
Date and Time
Location
Hosts
Registration
- Date: 22 Sep 2021
- Time: 10:30 AM to 11:30 AM
- All times are (GMT-07:00) America/Boise
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- 1020 S Manitou Ave
- Boise, Idaho
- United States
- Building: Micron Engineering Center
- Room Number: 114
- Click here for Map
- Contact Event Host
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See https://www.boisestate.edu/coen-ece/event/ece-seminar-9-22/
- Co-sponsored by Boise State University Electrical and Computer Engineering (ECE) Department
Speakers
Tom Coughlin of Coughlin Associates
Digital Storage and Memory for AI from the Edge to the Data Center
Biography:
Tom Coughlin, President, Coughlin Associates is a digital storage analyst and business and technology consultant. . Coughlin Associates consults, publishes books and market and technology reports. He is a regular storage and memory contributor for forbes.com and M&E organization websites. He is an IEEE Fellow, was President of IEEE-USA, Director of IEEE Region 6 and Chair of the Santa Clara Valley IEEE Section. For more information go to https://tomcoughlin.com
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