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CES 2021 Avalanche Computing Develops Hyper-scale Computing Technique for Speed and High-Scalability AI Projects

TAIPEI, Taiwan, Jan. 17, 2021 /PRNewswire/ -- Avalanche Computing, a hyper-scale computing technique provider based in Taipei and the Bay Area, has developed a one-click-through AI framework that allows for production speed and is highly scalable.
CES 2021 Avalanche Computing Develops Hyper-scale Computing Technique for Speed and High-Scalability AI Projects
Avalanche Computing's AI framework effectively trains your AI model in parallel or distributed mode on multiple GPUs without changing the algorithm for reducing AI project costs, and then does AI model deployment from one to many edge devices in one command.Avalanche Computing focuses on optimizing the deep learning environment and training in parallel, lightening the trained model, and then deploying the AI model at a hyper-scale. The proposed AI framework helps increase the speed of manufacturing and medical applications, including predictive maintenance, anomaly detection, machine diagnosis, defect detection, supply chain analysis, operation optimization, EGG signal, breath sound, medical signal, medical speech to text, anomaly detection, lung cancer detection, and more.Turnkey Solution for AI Development and Deployment
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