Artificial Intelligence (AI) mines smart data from mass data to accurately determine, classify, and predict things. With the popularity of technologies such as deep learning algorithms, AI applications have exploded at an amazing speed. The fourth technological revolution is one driven by AI and is the first to sweep the Internet and finance industries. This revolution promotes enterprise development around intelligent transformation. It reduces costs, improves efficiency, and brings new business opportunities to enterprises.
By 2025, 86% of enterprises worldwide will leverage AI’s benefits
Data, algorithm, and computing power are the three key elements of AI development. The new data volume (180 ZB) in 2025 will extend far beyond human processing capability — 95 percent of data will depend on AI processing. To improve AI computing power, the performance of storage and computing has been accelerated. Still, traditional Ethernet cannot effectively end packet loss (0.1 percent packet loss reduces the data center’s computing power by 50 percent). Packet loss becomes the bottleneck of computing power improvement.
Computing speed improved 100-fold
Access speed improved 100-fold
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An Internet giant has deployed autonomous driving. Autonomous driving training involves a large number of AI calculations. One day’s data collection requires hundreds of GPU servers to complete training within seven days. This severely affects autonomous driving’s Time-To-Market (TTM). Huawei CloudEngine switches provide the intelligent and lossless Ethernet with zero packet loss, low latency, and high throughput. It reduces overall training time by 40 percent and accelerates autonomous driving’s commercial use.
Bank A is one of China’s largest commercial banks and a Fortune Global 500 company. Bank A’s branch cloud is an innovative pilot in cloud strategy. The pilot uses RDMA technology to provide users with the same experience as local disk access. This technology improves network throughput and reduces CPU consumption. CloudEngine’s intelligent congestion scheduling implements zero packet loss, low latency, and high throughput on the network to accelerate RDMA communication. The storage cluster’s IOPS performance improves by 20 percent during testing, and a single volume’s performance reaches 350,000.
Company C is a well-known Chinese cloud computing service provider. Company C used Huawei’s CloudEngine data center switches on a distributed storage network, which enables them to build an intelligent and lossless network. Company C’s network provides high quality cloud disk experiences for millions of customers.
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