Digital Storage and Memory for AI at the Edge
Abstract: 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: 11 Mar 2021
- Time: 07:30 PM to 09:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- Manchester, New Hampshire
- United States
- Starts 08 March 2021 10:10 PM
- Ends 11 March 2021 10:10 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Tom Coughlin
Digital Storage and Memory for AI at the Edge
Biography:
Tom Coughlin, President, Coughlin Associates is a
digital storage analyst and business and technology
consultant. He has over 40 years in the data storage
industry with engineering and senior management
positions at several companies. Coughlin Associates
consults, publishes books and market and technology
reports (including The Media and Entertainment
Storage Report and an Emerging Memory Report),
and puts on digital storage-oriented events. He is a
regular storage and memory contributor for
forbes.com and M&E organization websites. He is an IEEE Fellow, Past-President of
IEEE-USA, Past Director of IEEE Region 6 and Past Chair of the Santa Clara Valley
IEEE Section and is also active with SNIA and SMPTE.
Agenda
7PM - ExCom meeting (administrative)
7:30 announcements followed by Tom's talk