Server platform features AI accelerator for edge deep learning applications

An NVIDIA GPU and Intel Xeon processor power edge device fleet management hardware.
Feb. 2, 2021
2 min read

The AIS-D422-A1 edge AI inference platform inference platform from Aetina Corporation is designed to manage edge device fleets running inference software. It is based on the NVIDIA T4 GPU and Intel Xeon D-2146NT processor with 8 cores and 16 threads. It features up to 512 GB of DDR4 memory, up to 256 GB of DDR4 memory, and an operating speed of up to 2400 MHz.

I/O ports include 4 SATA3, 9 GigE, 2 GigE10, 2 10G SFP+ LAN, 2 USB 2.0, 2 USB 3.0, 1 VGA, and 1 COM via RJ45. The PC also offers 3 PCIe ports with variable configuration, 1 M.2 M-Key, M.2  E-Key, and M.2  B-Key port, and 4 internal 2.5” drive bays. System cooling is provided by 3 redundant fans.

The server has a 267 x 109 x 406 mm footprint, weighs 10.43 kg, has an operating temperature of 0 - 50° C, and includes a 600W AC multi output power supply w/PFC.

GET PRICING

To Learn More:

Contact: Aetina Corporation
Headquarters: Taipei, Taiwan
Product: AIS-D422-A1 edge AI inference platform
Key Features: NVIDIA T4 GPU, Intel Xeon D-2146NT processor, up to 512 GB of DDR4 memory, up to 256 GB of DDR4 memory, 2400 MHz operating speed, I/O options include multiple GigE and USB 3.0 ports.

What Aetina Corporation says:
View more information on the AIS-D422-A1 edge AI inference platform.

Share your vision-related news by contacting Chris Mc Loone, Editor in Chief, Vision Systems Design

Sign up for Vision Systems Design Newsletters

Voice Your Opinion!

To join the conversation, and become an exclusive member of Vision Systems Design, create an account today!