利用存在於雲端運算環境的模組化容器,將可以迅速部署及訓練所需要的人工智慧應用模組與服務,並且讓運算效能獲得有效的應用
By using modular containers in the cloud computing environment, it is possible to quickly deploy and train the required artificial intelligence application modules and services, and make effective use of computing performance.
人工智慧模組套用: 可以提供具備基礎環境之虛擬機器或是容器化的服務,讓使用者自行於雲端環境中開發人工智慧模組,也可以直接運行已經建構好之人工智慧模組進行應用
Artificial intelligence module application: It can provide virtual machines or containerized services with basic environments, allowing users to develop artificial intelligence modules in the cloud environment by themselves, or directly run the already built artificial intelligence modules for application
人工智慧模訓練使用: 主要為進行需要大量數據與時間之人工智慧訓練,需要使用者自行上傳訓練資料,為避免長時間占用運算資源,僅能於夜間進行
AI model training: Mainly used for AI training that requires a lot of data and time. Users are required to upload training data by themselves. To avoid occupying computing resources for a long time, it can only be performed at night.
虛擬機器 (Virtual Machine): Windows O.S. ; Python ; Yolo
容器 (Container): Python ; Yolo
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