Neousys Edge AI Platform Acquires NVIDIA Tesla Server Qualification

August 17, 2020 Tiera Oliver

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. 

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About the Author

Tiera Oliver, edtorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

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