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'AI on the Fly': Moving AI Compute and Storage to the Data Source

May 06, 2019

'AI on the Fly': Moving AI Compute and Storage to the Data Source

Tim Miller of One Stop Systems highlights a new approach - AI on the Fly - where specialized high-performance accelerated computing resources for deep learning training move to the field near the data source. One Stop Systems asserts moving AI compute to the data is another important step in realizing the full potential of AI.

To read the article, click here.

The impact of artificial intelligence is starting to be realized across a broad spectrum of industries. Typically, deep learning (DL) training is a centralized datacenter process and inferencing occurs in the field. To build an AI system, data is collected, run through data scientist training models based on deep learning (DL) frameworks - on the fastest accelerated computers in the world - with the output sent to the field for an "AI at the Edge" system to inference from this model in day-to-day decision making.





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