NEWS
O'Prueba Technology's Strategic Transformation Targets the New Frontier of Edge AI
2024/07/10
Quoted from the original Mandarin content at Strategics Style https://strategicstyle.org/s-market-8374/21092/
The photo shows CEO Gavin at O'Prueba Technology's booth at CES 2024.
With the rapid development of AI, the demand for massive computing power from cloud servers has increased, and network transmission latency has become a significant issue. The market is gradually shifting towards edge AI to meet the high computational power and fast response requirements of AI.
O'Prueba Technology, spun off from National Yang Ming Chiao Tung University, leverages over 20 years of experience in network management, software development, and testing to develop the O'Prueba Orchestration System (OOS). This intelligent application control solution for edge AI and computing platforms allows industries to manage thousands of devices and services more easily, accelerating the deployment of AI-related applications.
At the beginning of the year, O'Prueba Technology collaborated with Intel, Palo Alto Networks, CTOne, Inventec, and NEXCOM to target the market, focusing on deep integration in areas like cybersecurity, video surveillance, and AI inference. By simplifying IT and OT execution and deployment, O'Prueba enhances enterprises' information security and flexibility in deploying and maintaining smart factories, smart agriculture, and smart cities.
Edge AI Becomes Mainstream
Edge AI refers to running AI on edge devices like smartphones, IoT devices, and edge servers. With its advantages of low latency, high response speed, reduced cloud and bandwidth costs, improved security, and optimized computing efficiency, edge AI is gradually replacing cloud computing as the trend of the new era.
O'Prueba Technology points out that edge AI has low latency and high response speed, allowing immediate data processing without sending it to the cloud, significantly reducing delay time. This is especially crucial for applications requiring high-speed responses, like autonomous driving and robotic control.
Moreover, edge AI can reduce cloud and bandwidth costs by decreasing reliance on cloud servers and network bandwidth resources, lowering overall operational costs while improving security. Since data is processed locally without needing to be transmitted to remote servers, it effectively avoids and reduces the risk of data leakage and hacker attacks, significantly enhancing security. Furthermore, edge AI can optimize computing resource allocation based on specific hardware and application needs, improving computing efficiency and performance.
Combining the advantages of AI and edge computing, edge AI brings higher performance and flexibility to various applications. As AI applications develop, edge AI will play an increasingly important role in the future.
Deploying Edge AI Faces New Challenges
Enterprises face three new challenges when pushing for edge AI. First, large-scale deployment is necessary. Edge computing services span multiple geographic locations and fields, managing numerous devices, coordinating sites, and automating tasks, each a complex endeavor. Handling this manually by assigning engineers to each task would consume considerable time, labor, and travel expenses.
Second, edge computing must handle multiple tasks simultaneously, including data processing, storage, analysis, inference, and network communication. Each function requires independent equipment configuration, increasing hardware and management costs. Lastly, the third challenge is multi-site management and maintenance. Different locations have varying equipment architectures and network connectivity conditions, necessitating specialized management strategies and operational costs.
O'Prueba Technology originated from a research team at NYCU, with over 20 years of experience in network management, software development, and testing.
OOS: Facilitating Edge AI Deployment
O'Prueba Technology's OOS intelligent application control solution effectively addresses the three main challenges of edge AI deployment and management:
- Scalable Deployment: OOS offers one-click scalable deployment, enabling configuration across regions and domains, compatible with various hardware types. Enterprises can use the OOS controller to set up all edge computing sites simultaneously, saving substantial time and labor.
- Multiple Functions in One: The OOS platform integrates networking, computing, operations management, and application service installation. Therefore, enterprises can execute complex demands with a single machine, eliminating the need to purchase extensive devices. Since OOS adapts to all hardware architectures, it integrates with existing equipment without requiring hardware replacement for edge AI implementation. There's also no need to modify code for different hardware and platforms; users can deploy to the edge using the same methods as they did in the cloud through OOS.
- Multiple Site Management: OOS enables remote operation, allowing quick management regardless of region or country. OOS can achieve cross-domain connection, including internet and intranet, as well as dedicated and public networks. OOS supports various deployment methods, including public cloud, private cloud, hybrid cloud, and on-premises deployment.
Expanding Overseas Markets
O'Prueba Technology states that enterprises can efficiently address new deployment and management challenges by introducing edge AI through OOS, achieving a new era of AI transformation. The company is optimistic about the edge computing and AIoT market's rapid growth over the next five years.
As AIoT and 5G networks become more widespread, edge AI will see broader applications in manufacturing, logistics, transportation, and even smart city infrastructure, with market opportunities expected to reach hundreds of billions of dollars. To seize these opportunities, O'Prueba Technology reveals plans to expand into overseas markets, including Singapore, Vietnam, Japan, Europe, and North America.
