Abstract
In the Personal Computer (PC) industry, systems with updated configurations, components, and new technologies are introduced to the market each year. Resource arrangement and the prediction of market requirements for products are common challenges in each development phase of these products. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and cloud services influence the PC industry, and product strategies must be examined to fit the requirements of the market. Common designs and market predictions can influence product line resource arrangements, and 5G applications are causing an increasing demand for 5G-enabled products in the market. However, PC systems based on PCI Express, NVMe, USB, and TPM have been introduced into the market with more secure solutions, and common designs and predictable market demand can provide more reliable strategies for navigating these issues. The research reported here is based on the serial bus system, which should simplify protocol transition between PCI Express, CXL, USB 4, and NVMe. Serial bus behavior should also influence performance and power consumption. Product strategies could be based on securing demand with power and performance in AI, the IoT, cloud storage, and high-performance computing. Based on performance and power requirements, application layer devices can use PCIe-based systems to provide secure solutions to extend 5G system reliability.
Highlights
In 2019, Artificial Intelligence (AI) and AI-related innovation, fifth-generation mobile networks (5G), cloud computing, and the Internet of Things (IoT) became important to the market
Using 5G applications created with network slice layers, a Personal Computer (PC) system can focus on AI, IoT, high-performance computing, and cloud storage for security products. 5G applications are in demand for edge service in physical and virtual resources
System design is based on these serial bus enhancement and secure solutions to construct needs for the products
Summary
In 2019, AI and AI-related innovation, fifth-generation mobile networks (5G), cloud computing, and the IoT became important to the market. Our methodology involved reviewing enhancements and features in USB , PCI Express, NVMe, and CXL Based on these serial bus solutions and 5G application slices, we attempted to understand the need for AI, IoT, cloud computing, and storage. The roadmaps for AI and deep learning produced by these three companies provide valuable product strategies We reviewed these solutions for hardware and software in different product lines, including CPU- and GPU-based systems designed for application slicing in physical and virtual devices. Deep learning uses CPU and GPU solutions for performance, as demanded Secure devices such as TPM can be combined with systems that protect data while moving it from the field to backup services. Based on AI and IoT product strategies, platforms consider power and security solutions in different 5G application slicing This approach reduces data throughput from the infrastructure layer to the edge cloud. A system designer may use these findings to define market demand
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