Neousys Edge AI Platform Acquires NVIDIA Tesla Server Qualification

By Tiera Oliver

Associate Editor

Embedded Computing Design

August 17, 2020

News

Neousys Edge AI Platform Acquires NVIDIA Tesla Server Qualification

Nuvo-8240GC supports up to an Intel Xeon E processor with expansion capabilities. It also features compact dimensions and low power consumption characteristics.

Neousys announced that, succeeding the Nuvo-7166GC, its Nuvo-8240GC dual Tesla T4 edge AI inference platform also qualified as an NVIDIA Tesla T4 server. This collaboration enables Neousys' edge AI platforms with NVIDIA Tesla T4 to accelerate AI applications in advanced and versatile industries.

Nuvo-8240GC supports up to an Intel Xeon E processor with expansion capabilities. It also features compact dimensions and low power consumption characteristics. With T4 boosted AI inference processing power, it is ideal for medical image and video analysis, deep learning machine vision, and autonomous machines.

According to the company, the NVIDIA qualification guarantees the system's CPU, Tesla T4, and overall system performance under wide-temperature conditions is ideal by putting the system through tests and ensures its features can be integrated with the NVIDIA Tesla T4. Also, according to the company, Neousys' Nuvo-8240GC proved itself suitable of their industrial embedded solutions to enable AI inference performances when they chose Neousys' NVIDIA Tesla qualified platforms.
 
As an NVIDIA Tesla qualified platform, Nuvo-8240GC is considered an ideal compact system. It is an industrial-grade edge AI platform supporting dual NVIDIA Tesla T4 GPU cards. The system allows innovators to run multiple models simultaneously such as engaging advanced applications with false-fail and redundant GPU configurations or assign the two T4s to separate tasks, set one for video transcoding while setting the other for AI inference tasks. 

For more information, visit: https://www.neousys-tech.com/en/product/application/edge-ai-gpu-computing/nuvo-8240gc-dual-nvidia-tesla-t4-intel-9th-gpu-computing-ai-platform

Featured Companies

NVIDIA

2701 San Tomas Expressway
Santa Clara, CA 95050

Intel

2200 Mission College Blvd.
Santa Clara, CA 95054-1549

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

More from Tiera