搜尋

會員登入

搜尋

導覽

會員
廣告

Aetina Join Embedded World 2020 with Vision-Critical GPGPU Solution

瀏覽次數:1290

TAIPEI, Taiwan – Aetina Corporation announced that it will demonstrate AI related products in Embedded World 2020. Aetina aims to set a stable environment for multiple image-critical applications in vertical markets like medical, gaming, machine learning, and AI inference needed.

Aetina offers the extensive General Purpose Graphics Cards, enabling a better processing performance per watt and immersive 3D graphics to capture the player's attention in the gaming system. Multiple displays with improved 3D and video performance are essential for gaming machines as well.

Aetina is having the brand-new Nvidia RTX 2080TI, and RTX super series to show on in the exhibition. The GPGPU solution related industry could be fulfilling and exceeding the unique requirements of applications for industry-specific features such as multi-displays, small form factor, low power consumption, fanless, two-ball-bearing cooling fan, industrial-grade components, 4K resolutions, and more.

Also, Aetina comes up with embedded MXM GPU modules and their exclusive development kit. Aetina provides Nvidia Quadro MXM modules, showing superior graphics and high-level compute capability, which is an ideal solution for performance demanding and size, weight, and power (SWaP) constrained embedded systems. And the MXM motherboard MH110 for evaluation uses that can shorten the development period, speed up the time of the customer's vision application to market.

Aetina founded in 2012 in Taiwan and dedicated to the high-performance GPGPU solution. With full support GPGPU product and more than 20 years of experience for GPU, Aetina is confident to provide their technical service with customization, variety, and longevity in the GPGPU solution field. To enrich the possibility and helping more to get into the edge AIoT environment are front and center to Aetina's mission for now.

MCU睡眠模式(Sleep Mode)大解密

MCU睡眠模式(Sleep Mode)大解密

電池供電的感測器、智慧家居與可攜式裝置,經常花大量時間等待事件。延長續航的關鍵,是讓CPU只在需要時工作,並把監測、取樣與資料搬移交給適合的周邊。Microchip PI…

電池供電的感測器、智慧家居與可攜式裝置,經常花大量時間等待事件。延長續航的關鍵,是讓CPU只在需要時工作,並把監測、取樣…