According to Cisco’s forecast, there will be 850 ZB of data generated by mobile users and IoT devices by 2021. With a surge in data, challenges like latency will emerge. And, if one has to derive intelligence from algorithms in real-time, the traditional systems cannot be trusted for long. Thanks to the efforts of top companies to place supercomputers in the pockets, edge computing systems have garnered significant attention. Over the past couple of years chipmakers have been bullish on developing integrated solutions for edge cases.

As we approach an era of IoT, 5G and portable medical devices, it is crucial to facilitate developers to quickly develop and deploy edge applications.

Companies like Huawei too have been explicit about their AI ambitions. Last year they launched their AI SoC, Ascend 310, which powers Huawei’s developer AI toolkit among other products. The Atlas 200 Developer Kit is a developer board that uses the Atlas 200 AI accelerator module. This developer kit allows developers to leverage the Atlas 200 AI accelerator module easily. For developers looking into R&D related to smart cities, drones and robotics, Atlas 200 DK can come in handy.

#developers corner #ai developer kit #huawei ai #machine-learning

AI Dev Kits Puts Machine Learning Developers At An Advantage
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