MLOps | 機器學習作業
為何需要?
機器學習作業是一種服務模式，所包含的服務項目很多，目標是讓客戶操作機器學習時更有效率。所提供的解決方案，可能只是一套軟體、或是將軟體和硬體結合、或是訓練客戶使用方案、或是直接代替客戶操作。領先全球的雲端解決方案供應商，例如亞馬遜網路服務(AWS)、Google雲端平台(GCP)、微軟Azure，大多透過公用雲提供機器學習作業服務，小的供應商不一定與其競爭，而是用大品牌的軟硬體來服務客戶。
機器學習作業的終端使用者掌握無限可能，不論是製造、物流、交通運輸、貿易、零售、教育或是健保醫療，都可利用優化的機器學習模型來改善工作效率，也有可能善用資料庫的海量資料，產生額外的附加價值。因此，越來越多企業開始採用機器學習作業，部署自家的機器學習模型。
機器學習作業的終端使用者掌握無限可能，不論是製造、物流、交通運輸、貿易、零售、教育或是健保醫療，都可利用優化的機器學習模型來改善工作效率，也有可能善用資料庫的海量資料，產生額外的附加價值。因此，越來越多企業開始採用機器學習作業，部署自家的機器學習模型。
技嘉的特色
技嘉科技布局軟硬體產品，推出機器學習作業相關解決方案，提供廠商和終端用戶使用。
硬體：技嘉G系列GPU協同運算伺服器將多張GPU卡配置於高密度、小體積的機殼內，造就可擴充性高、適用於人工智慧和深度學習的高效能運算解決方案，可說是為機器學習作業量身打造的伺服器產品。GPU協同運算伺服器的特性之一，是平行運算效能高，適合設計和改良機器學習模型，發揮機器視覺、手寫辨識(HWR)、自然語言處理(NLP)等創新技術。
軟體：深度學習和深度神經網路(DNN)訓練是機器學習作業重要一環，技嘉的邁爾凌MLSteam深度學習訓練解決方案是一站式深度學習訓練平台，特色包括通過認證與優化的預裝軟硬體架構，及多種市面上普及的深度學習框架和函式庫，供使用者選用。後台是技嘉G系列GPU協同運算伺服器，領先業界的獨特高密度設計，可支援多張GPU配置。
硬體：技嘉G系列GPU協同運算伺服器將多張GPU卡配置於高密度、小體積的機殼內，造就可擴充性高、適用於人工智慧和深度學習的高效能運算解決方案，可說是為機器學習作業量身打造的伺服器產品。GPU協同運算伺服器的特性之一，是平行運算效能高，適合設計和改良機器學習模型，發揮機器視覺、手寫辨識(HWR)、自然語言處理(NLP)等創新技術。
軟體：深度學習和深度神經網路(DNN)訓練是機器學習作業重要一環，技嘉的邁爾凌MLSteam深度學習訓練解決方案是一站式深度學習訓練平台，特色包括通過認證與優化的預裝軟硬體架構，及多種市面上普及的深度學習框架和函式庫，供使用者選用。後台是技嘉G系列GPU協同運算伺服器，領先業界的獨特高密度設計，可支援多張GPU配置。
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