Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

DFI’s Miniaturized IPCs Empower Edge AI Applications

In the era of Artificial Intelligence of Things (AIoT), Industrial PC (IPCs) is expected more than just a computer for general data processing. Faced with the increasing workload at the edge, end devices are required to be smart, automated, and interconnected, which reflects on the demands of AI computing and M2M (Machine-to-Machine) communication in small-sized PCs.

The demand for AI computing emerged on the account of the decentralization trends in recent years to reduce cloud computing workloads and costs, and to reinforce AI performance at the edge, high-end embedded solutions is a must. But to downsize them and meanwhile support the conditions required by edge environments, like tight spaces and abrupt temperature changes, it’s definitely a challenge for IPC manufactures.

Recommended AI NewsMastercard Scores With Expanded Olympique Lyonnis Partnership

Computing decentralization also infused diversity and heterogeneity into AIoT framework that further stresses the importance of integration capability. Edge computing is an integrative application that requires the synergy of multiple devices. That is, devices should be able to communicate, even though their operating systems differ from each others and bring compatibility issues on data storage, processing and transferring.

Responding to above demands, DFI, with decades of experience in developing small-sized embedded solutions, has a full product portfolio as countermeasures with extra benefits to help clients optimize their AIoT ecosystem.

Related Posts
1 of 40,570

Recommended AI NewsDoxim Announces Omnichannel Loan Origination And Account Opening In Partnership With Mobetize

The Pi-sized GHF51 and ALF51 have AMD and Intel x 86 platforms downsized into the 1.8″ boards to boost industrial IoT development. To tackle more complicated tasks, CS551 condenses desktop-platform power into the 3.5″ SBC, and has the processor-warming mechanism under -30°C that ensures seamless operation in dramatic temperature change. With high performance, the designs are easier to not only leverage the AI power but also run virtual machine software to solve the data compatibility issue and amplify the effect of AIoT.

For market-ready solutions, DFI releases an array of x86-based mini PCs, such as EB100-KU for IoT gateway and industrial NUC and ES220-CS featuring as the first 35W desktop PC with REAL DUAL 4K HDMI supported.

Based on the commitment to customers, DFI continues to develop and optimize products to help system integrators to quickly build systems and create new business opportunities to facilitate AIoT.

Recommended AI NewsCrypto.Com Debuts French Version Of App And Exchange

Comments are closed, but trackbacks and pingbacks are open.