Tag: NVIDIA

Diamond Systems has unveiled a Stevie carrier board for Nvidia’s high-end Jetson AGX Xavier module. Diamond also promoted some other Jetson carriers and embedded systems, which all ship with Linux BSPs. They include Diamond Systems’ Elton, also for the Xavier, the Jethro and Ziggy...

As a preferred camera partner of NVIDIA®, e-con Systems is introducing yet another camera support for NVIDIA® platforms. e-con Systems have launched the support for one of our popular low-light, 5 MP camera based on OnSemi’s AR0521 – e-CAM50_CUNANO, with NVIDIA® Jetson Nano...

Adding muscle to its SBC and IoT solutions OKdo, part of Electrocomponents, is now selling the NVIDIA Jetson Nano Developer Kit to its range. The kit comes with out-of-the-box support for full desktop Linux, compatible with many peripherals and accessories, ready-to-use projects and...

NVIDIA has just announced Jetson Xavier NX system-on-module, with the company claiming it is the “world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge” with a 70x45mm “Jetson Nano” form factor, and delivering either up to 14...

Aaeon has announced the release of the Boxer-8110AI embedded computer.  The Compact board which is similar to Aaeon's Boxer-8120A which was released in May is based on the Nvidia Jetson Tx2 Module and is capable of running Linux distros like Ubuntu. While it offers a more compact size...

SurveilsQUAD (e-CAM20_CUXVR) is a synchronized multiple camera solution for NVIDIA® Jetson AGX Xavier™ Developer Kit that consists of four 2MP camera board and a base board to interface with the NVIDIA® Jetson AGX Xavier™ Developer Kit. Each camera is based on the camera...

NVIDIA today announced the Jetson Nano™, an AI computer that makes it possible to create millions of intelligent systems. The small but powerful CUDA-X™ AI computer delivers 472 GFLOPS of compute performance for running modern AI workloads and is highly power-efficient,...

Nvidia, is one of those companies that never ceases to amaze me. I have to say that they have technically monopolized the GPU ecosystem and now Nvidia is gaining (if not already) for a new crown - AI on the Edge. AI in the cloud has been the buzz ever since, enabling numerous application...