Gestalt IT · @GestaltIT
113 followers · 765 posts · Server techfieldday.net

Just Posted: The article discusses the utilization of hardware beyond Intel's NUC for edge deployments, exploring platforms from Lenovo, Nvidia, and others, emphasizing the benefits of ARM-based solutions for edge AI applications. It also highlights the trend of deploying applications at the edge driven by advancements in hardware and software capabilities. #
utilizingtech.com/podcast/seas

#edgehardware #intelnuc #arm #nvidiajetson #edgeai #edgecomputing #utilizingedge

Last updated 1 year ago

VentureBeat :press: · @VentureBeat
65 followers · 58 posts · Server press.coop

Hailo's dedicated processor is power-efficient and specifically designed for neural networks, with vision — or the Internet of Things with Eyes — a major use case. @Hailo_ai venturebeat.com/ai/venturebeat

#edgeai #press

Last updated 2 years ago

Shawn Hymel · @shawnhymel
560 followers · 114 posts · Server masto.ai

If you are in the Bay Area or near Amsterdam March 27, check out the @EdgeImpulse Edge ML Series: explore real-life deployments and solutions of edge applications. Request an invite here: edgeimpulse.com/edgemlseries

#machinelearning #tinyml #edgeai #ai #embedded #iot

Last updated 2 years ago

vinoth · @vinoth
0 followers · 2 posts · Server techhub.social

Exploring New AI Features in Microsoft Edge, Including ChatGPT: A Video Overview
youtu.be/2lE6Hq-RYW0

#AI #chatgpt #edgeai #chatgptmania

Last updated 2 years ago

5h15h · @shish
85 followers · 393 posts · Server techhub.social

The latency requirements of the are near zero, and this necessitates the need for data centers that are in close proximity to users, with blazing-fast network speeds bit.ly/3I6ynQZ

#metaverse #edgecomputing #edgeai #immersivecommerce #icommerce

Last updated 2 years ago

Renaud Lifchitz :verified: · @nono2357
250 followers · 999 posts · Server infosec.exchange
IoT Stars · @iotstars
1 followers · 2 posts · Server techhub.social
Vikas Gadiya · @vgadiya
2 followers · 17 posts · Server home.social

Edge AI Hardware Industry Worth $2,716 Million Units by 2027

More Information : marketsandmarkets.com/Market-R

The Edge AI hardware market is expected to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period.

Key opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions and the rising adoption.

#edgeai #hardware #ai #processor

Last updated 2 years ago

Vikas Gadiya · @vgadiya
2 followers · 16 posts · Server home.social

Edge AI Hardware Market Worth $2,716 Million Units by 2027

• Informational PDF Brochure :-
marketsandmarkets.com/pdfdownl

The Edge AI hardware market is projected to grow from 1,056 Million Units in 2022 and expected to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period.

Key opportunities for the edge AI hardware market include the growing demand for edge computing solutions.

#edgeai #hardware #machinelearning #security

Last updated 2 years ago