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stroke-linejoin=\"round\" stroke-width=\"2\" d=\"m5 12l7-7l7 7m-7 7V5\"\u002F>",{"id":34,"title":35,"body":36,"category":152,"cover":46,"data_key":153,"date":154,"description":155,"excerpt":145,"extension":156,"keywords":157,"locale":158,"meta":159,"navigation":24,"order":160,"path":161,"published":24,"seo":162,"slug":163,"stem":164,"subtitle":145,"__hash__":165},"news\u002Fnews\u002Ftw\u002Foprueba-edge-ai-transformation.md","詮隼科技策略轉型，搶攻 Edge AI 新藍海",{"type":37,"value":38,"toc":144},"minimark",[39,47,61,64,67,70,75,78,81,84,87,91,94,97,102,105,109,112,135,138,141],[40,41,42],"p",{},[43,44],"img",{"alt":45,"src":46},"詮隼科技執行長 Gavin 於 CES 2024 攤位","\u002Fimages\u002Fnews\u002Foprueba-edge-ai-transformation\u002Fces.webp",[40,48,49],{},[50,51,52,53,60],"em",{},"本文內容摘自 ",[54,55,59],"a",{"href":56,"rel":57},"https:\u002F\u002Fstrategicstyle.org\u002Fs-market-8374\u002F21092\u002F",[58],"nofollow","Strategics Style"," 的中文原文。",[40,62,63],{},"隨著 AI 快速發展，雲端伺服器對龐大運算力的需求大增，網路傳輸延遲也成為一大課題。市場正逐步轉向邊緣 AI，以滿足 AI 對高運算力與快速回應的需求。",[40,65,66],{},"由國立陽明交通大學衍生的詮隼科技，憑藉逾 20 年網路管理、軟體開發與測試經驗，開發出 O'Prueba Orchestration System（OOS）。這套面向邊緣 AI 與運算平台的智慧應用控制解決方案，能讓各產業更輕鬆地管理數以千計的設備與服務，加速 AI 相關應用的部署。",[40,68,69],{},"年初，詮隼科技與 Intel、Palo Alto Networks、CTOne、英業達（Inventec）與 NEXCOM 合作搶攻市場，聚焦於資安、影像監控與 AI 推論等領域的深度整合。透過簡化 IT 與 OT 的執行與部署，詮隼協助企業提升資安，並在智慧工廠、智慧農業與智慧城市的部署與維運上更具彈性。",[71,72,74],"h2",{"id":73},"邊緣-ai-成為主流","邊緣 AI 成為主流",[40,76,77],{},"邊緣 AI 指的是在智慧型手機、IoT 裝置與邊緣伺服器等邊緣設備上運行 AI。憑藉低延遲、高回應速度、降低雲端與頻寬成本、提升安全性與優化運算效率等優勢，邊緣 AI 正逐漸取代雲端運算，成為新時代的趨勢。",[40,79,80],{},"詮隼科技指出，邊緣 AI 具備低延遲與高回應速度，能在本地即時處理資料而無須上傳雲端，大幅縮短延遲時間。這對自動駕駛、機器人控制等需要高速回應的應用尤為關鍵。",[40,82,83],{},"此外，邊緣 AI 可降低對雲端伺服器與網路頻寬資源的依賴，降低整體營運成本並提升安全性。由於資料在本地處理、無須傳輸至遠端伺服器，能有效避免並降低資料外洩與駭客攻擊的風險，大幅提升安全性。邊緣 AI 也能依特定硬體與應用需求優化運算資源配置，提升運算效率與效能。",[40,85,86],{},"結合 AI 與邊緣運算的優勢，邊緣 AI 為各種應用帶來更高的效能與彈性。隨著 AI 應用發展，邊緣 AI 在未來將扮演愈來愈重要的角色。",[71,88,90],{"id":89},"部署邊緣-ai-面臨新挑戰","部署邊緣 AI 面臨新挑戰",[40,92,93],{},"企業在推動邊緣 AI 時面臨三項新挑戰。首先是大規模部署的必要性。邊緣運算服務橫跨多個地理位置與領域，管理眾多設備、協調站點並自動化任務，每一項都相當複雜；若以人工方式逐一指派工程師處理，將耗費大量時間、人力與差旅成本。",[40,95,96],{},"其次，邊緣運算必須同時處理多項任務，包括資料處理、儲存、分析、推論與網路通訊；每項功能都需要獨立的設備配置，增加硬體與管理成本。第三項挑戰則是多站點管理與維運：不同地點的設備架構與網路連線條件各異，需要專門的管理策略與營運成本。",[40,98,99],{},[43,100],{"alt":90,"src":101},"\u002Fimages\u002Fnews\u002Foprueba-edge-ai-transformation\u002Fchallenges.webp",[40,103,104],{},"詮隼科技源自陽明交通大學的研究團隊，擁有逾 20 年網路管理、軟體開發與測試經驗。",[71,106,108],{"id":107},"oos助力邊緣-ai-部署","OOS：助力邊緣 AI 部署",[40,110,111],{},"詮隼科技的 OOS 智慧應用控制解決方案，有效解決邊緣 AI 部署與管理的三大挑戰：",[113,114,115,123,129],"ul",{},[116,117,118,122],"li",{},[119,120,121],"strong",{},"可擴展部署","：OOS 提供一鍵式可擴展部署，能跨區域與領域進行配置，並相容多種硬體類型。企業可透過 OOS 控制器同時建置所有邊緣運算站點，大幅節省時間與人力。",[116,124,125,128],{},[119,126,127],{},"多功能合一","：OOS 平台整合網路、運算、營運管理與應用服務安裝，企業以單一設備即可執行複雜需求，無須採購大量設備。由於 OOS 適應所有硬體架構，能與既有設備整合而無須更換硬體即可導入邊緣 AI；也不需為不同硬體與平台修改程式碼，使用者可透過 OOS 以與雲端相同的方式部署至邊緣。",[116,130,131,134],{},[119,132,133],{},"多站點管理","：OOS 支援遠端操作，無論身處哪個地區或國家都能快速管理。OOS 可實現跨域連線，涵蓋網際網路與內部網路、專網與公網；並支援公有雲、私有雲、混合雲與地端等多種部署方式。",[71,136,137],{"id":137},"拓展海外市場",[40,139,140],{},"詮隼科技表示，企業透過 OOS 導入邊緣 AI，可高效因應新的部署與管理挑戰，邁向 AI 轉型的新時代。公司看好邊緣運算與 AIoT 市場在未來五年的快速成長。",[40,142,143],{},"隨著 AIoT 與 5G 網路日益普及，邊緣 AI 將在製造、物流、運輸乃至智慧城市基礎建設中有更廣泛的應用，市場商機上看數千億美元。為把握這些機會，詮隼科技透露將拓展海外市場，包括新加坡、越南、日本、歐洲與北美。",{"title":145,"searchDepth":146,"depth":146,"links":147},"",2,[148,149,150,151],{"id":73,"depth":146,"text":74},{"id":89,"depth":146,"text":90},{"id":107,"depth":146,"text":108},{"id":137,"depth":146,"text":137},[],"O'Prueba Technology Strategic Transformation Edge AI OOS, 詮隼科技 策略轉型 Edge AI OOS","July 10, 2024","詮隼科技以 OOS（O'Prueba Orchestration System）轉型布局 Edge AI，解決大規模部署、多功能整合與多站點管理三大挑戰，搶攻邊緣運算新時代。","md","詮隼科技, Edge AI, OOS, 邊緣運算, AIoT, CES 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