Search Results for : AIoT

Axiomtek – a world-renowned leader relentlessly devoted in the research, development and manufacture of series of innovative and reliable industrial computer products of high efficiency – is proud to announce the KIWI310, a high-performance credit card-sized embedded board powered...

IBASE Technology Inc., a leading manufacturer of industrial motherboards and AIoT solutions, has released the MI989 Mini-ITX motherboard with AMD Ryzen™ Embedded V2000 Series processor that offers up to eight CPU cores and 16 threads, providing unprecedented speed and power...

Advantech, a leading embedded and AIoT solutions provider, has released the new SOM-5883 Computer-on-Module for high-performance edge computing applications. SOM-5883 is a COM Express Basic Type6 Module, with integrated 11th Gen. Intel® Core™ processors (formally called Tiger...

Radxa has announced a Rock 3 Model B SBC, which features the same RK3568 as the Rock 3A, and additionally features WiFi/BT, a second GbE port, native SATA, and M.2 B-key and SIM slots for 4G/5G instead of E-key. The Model B enables native SATA and dual GbE ports, offering enhanced...

Vecow Co., Ltd., a team of global embedded experts, announced Compact Integrated Solution with Intel Atom® x6000 Series processor. The solution comprises SPC-6000 and PBC-1000 Ultra-compact Fanless Embedded Box PC, and EPBC-1000 2.5" Single Board Computer. Powered by Intel Atom® x6000...

Sipeed has been busy releasing several new boards, with some still into the production and testing phase. The manufacturer has now released an R329 camera board for the Chinese community only for free trials because the software environment is not fully ready for mass production. The...

Featuring 6-core NVIDIA Carmel ARM® v8.2 64-bit CPU and 384-core NVIDIA Volta™ GPU, Vecow EAC-2000 Series features power-efficient in a small form factor to empower Edgae AI applications including Traffic Vision, Intelligent Surveillance, Auto Optical Inspection, Smart Factory,...

For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has...