Access and Feeds

Emerging Memories: New Technologies Targets AI and IoT

By Dick Weisinger

Artificial Technology and Internet of Things (IoT) devices are driving the development of alternative hardware memory technologies. The use of SRAM and DRAM is expensive and consume large amounts of power.

Rob Crooke, senior vice president at Intel, said that “DRAM is not big enough to solve today’s problem of real-time data analysis—and traditional storage isn’t fast enough.”

Emerging memory technologies are typically non-volatile and often much faster than solid state drives. Some of the promising emerging memory technologies include:

Intel Optane DC – Non-volatile, high-capacity memory accessible through memory operations or by blocks. The target use case for Optane is in the data center.

MRAM – Non-volatile memory that can be completely powered down but which can be powered on quickly and which supports fast writes. MRAM fits the IoT use case well and offers greater capacity and density and requires less power.

From Forbes: Emerging Memories for IoT and Compute from TSMC, Intel and IBM

ReRAM (Resistive Random Access Memory) – Has very low read latency and fast write performance. ReRam is well suited for in-memory computing.

David Fried, chief technology officer at Coventor, now part of Lam Research, said that “I would expect these advanced memories to first find homes in applications that recognize or leverage one of their unique advantages.”

Digg This
Reddit This
Stumble Now!
Buzz This
Vote on DZone
Share on Facebook
Bookmark this on Delicious
Kick It on DotNetKicks.com
Shout it
Share on LinkedIn
Bookmark this on Technorati
Post on Twitter
Google Buzz (aka. Google Reader)
0 comments on “Emerging Memories: New Technologies Targets AI and IoT
1 Pings/Trackbacks for "Emerging Memories: New Technologies Targets AI and IoT"

Leave a Reply

Your email address will not be published. Required fields are marked *

*