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5v3H7v4h3v8h4v-8h3l1-4h-4V7a1 1 0 0 1 1-1h3z\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":28,"hidden":24},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M2.5 17a24.1 24.1 0 0 1 0-10a2 2 0 0 1 1.4-1.4a49.6 49.6 0 0 1 16.2 0A2 2 0 0 1 21.5 7a24.1 24.1 0 0 1 0 10a2 2 0 0 1-1.4 1.4a49.6 49.6 0 0 1-16.2 0A2 2 0 0 1 2.5 17\"\u002F>\u003Cpath d=\"m10 15l5-3l-5-3z\"\u002F>\u003C\u002Fg>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":30},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M12 2a10 10 0 1 0 10 10a4 4 0 0 1-5-5a4 4 0 0 1-5-5M8.5 8.5v.01M16 15.5v.01M12 12v.01M11 17v.01M7 14v.01\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":32},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"m5 12l7-7l7 7m-7 7V5\"\u002F>",{"id":34,"title":35,"body":36,"category":149,"cover":45,"data_key":150,"date":151,"description":152,"excerpt":142,"extension":153,"keywords":142,"locale":154,"meta":155,"navigation":24,"order":156,"path":157,"published":24,"seo":158,"slug":159,"stem":160,"subtitle":161,"__hash__":162},"blog\u002Fblog\u002Fen\u002FHow-to-Deploy-Edge-AI.md","How to Deploy Edge AI",{"type":37,"value":38,"toc":141},"minimark",[39,46,49,52,57,60,83,86,90,97,117,121,124,128],[40,41,42],"p",{},[43,44],"img",{"alt":35,"src":45},"\u002Fimages\u002Fblog\u002FHow-to-Deploy-Edge-AI\u002FHowtoDeployEdgeAI.webp",[40,47,48],{},"With the rise of Edge Computing and AI, the demand for Edge AI has grown rapidly. According to market research by Maximize Market Research (1), the Edge AI market size was valued at USD 17.46 billion in 2023, and the total Edge AI revenue is expected to grow at a compound annual growth rate (CAGR) of 20.1% from 2024 to 2030, reaching nearly USD 62.93 billion by 2030.",[40,50,51],{},"Deploying Edge AI can be challenging due to the need to manage many devices across multiple regions, leading to high costs in time and labor.",[53,54,56],"h2",{"id":55},"the-challenge-of-edge-ai-deploy","The Challenge of Edge AI Deploy",[40,58,59],{},"Deploying Edge AI comes with several challenges. We’ve identified the three primary issues that organizations commonly face:",[61,62,63,71,77],"ul",{},[64,65,66,70],"li",{},[67,68,69],"strong",{},"Managing Devices Across Multiple Locations and Fields"," Deploying Edge AI across different regions can lead to higher travel expenses for employees who need to manage and maintain systems. Additionally, varying infrastructure standards, connectivity options, and environmental conditions in each area contribute to overall operational challenges.",[64,72,73,76],{},[67,74,75],{},"Configuration, Maintenance, and Updates One by One"," Each edge device must be individually configured, maintained, and updated. Handling these tasks one by one is time-consuming and labor-intensive. This involves initial setup, ongoing monitoring, and regular updates to ensure effective and secure operation.",[64,78,79,82],{},[67,80,81],{},"Different Devices Architectures"," Edge AI deployment must accommodate various devices architectures, such as ARM and x86. Each architecture presents unique challenges in terms of compatibility, optimization, and performance, necessitating tailored solutions for different types of devices.",[40,84,85],{},"By addressing these challenges, organizations can better leverage the benefits of edge AI for their operations.",[53,87,89],{"id":88},"scalable-deploy-edge-ai-with-oos","Scalable Deploy Edge AI with OOS",[40,91,92,93,96],{},"OOS provides a ",[67,94,95],{},"One-Click Scalable Deployment"," that supports cross-regional and cross-fields deployment across multiple devices. Users can reduce the need for manpower and time consumption by using OOS set up all edge AI sites at once.",[61,98,99,105,111],{},[64,100,101,104],{},[67,102,103],{},"Across Multiple Locations"," OOS offers One-Click Scalable Deployment, enabling cross-regional implementation where all Edge AI sites can be set up simultaneously. This significantly reduces the manpower and travel expenses required for system management and maintenance.",[64,106,107,110],{},[67,108,109],{},"Across Multiple Fields"," OOS excels in deploying Edge AI across diverse industries by offering flexible solutions suited to each field's unique requirements. Whether for applications delivery or network setup, OOS provides customizable deployment options that ensure seamless integration and optimal performance.",[64,112,113,116],{},[67,114,115],{},"Across Multiple Devices"," OOS supports various device architectures, such as ARM, x86 Pi, and SoC, by providing tailored solutions that ensure compatibility, optimization, and performance across different device types.",[53,118,120],{"id":119},"conclusion","Conclusion",[40,122,123],{},"The rapid growth of the Edge AI and Edge Computing market presents both significant opportunities and challenges. Edge Computing Deployment differs greatly from Cloud Computing Deployment, as the distributed computing significantly increases the complexity of operational management. However, adopting OOS with its One-Click Scalable Deployment simplifies these challenges, offering a streamlined approach for deploying Edge Computing across diverse regions, fields, and devices. With these solutions, businesses can enhance efficiency, reduce costs, and achieve optimal performance, positioning themselves at the forefront of technological advancement.",[53,125,127],{"id":126},"references","References",[61,129,130],{},[64,131,132,133,140],{},"Maximize Market Research. (2023). \"Edge AI Market: Global Industry Analysis and Forecast (2023-2030).\" Retrieved from ",[134,135,139],"a",{"href":136,"rel":137},"https:\u002F\u002Fwww.maximizemarketresearch.com\u002Fmarket-report\u002Fedge-ai-market\u002F190417\u002F",[138],"nofollow","https:\u002F\u002Fwww.maximizemarketresearch.com",".",{"title":142,"searchDepth":143,"depth":143,"links":144},"",2,[145,146,147,148],{"id":55,"depth":143,"text":56},{"id":88,"depth":143,"text":89},{"id":119,"depth":143,"text":120},{"id":126,"depth":143,"text":127},[],"How to Deploy Edge AI?, 如何部署 Edge AI","August 9, 2024","Deploying Edge AI brings challenges in managing devices across regions and architectures — see how OOS's One-Click Scalable Deployment cuts time and labor costs.","md","en",{},1,"\u002Fblog\u002Fen\u002Fhow-to-deploy-edge-ai",{"title":35,"description":152},"How-to-Deploy-Edge-AI","blog\u002Fen\u002FHow-to-Deploy-Edge-AI","Deploying Edge AI across regions and architectures is slow and costly — OOS uses one-click scalable deployment to set up every site at once.","CeMQcX2xG3kVMI8i32V7Fx5zBeNyEjkOKBrmiZ72NDg",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":164},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"m12 19l-7-7l7-7m7 7H5\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":166,"hidden":24},"\u003Cpath fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M22 4s-.7 2.1-2 3.4c1.6 10-9.4 17.3-18 11.6c2.2.1 4.4-.6 6-2C3 15.5.5 9.6 3 5c2.2 2.6 5.6 4.1 9 4c-.9-4.2 4-6.6 7-3.8c1.1 0 3-1.2 3-1.2\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":168},"\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\">\u003Cpath d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\u002F>\u003Cpath d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\u002F>\u003C\u002Fg>",1786002190668]