Neousys Edge AI Platform Acquires NVIDIA Tesla Server Qualification
August 17, 2020
News
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
Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.
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Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack.
