Huawei has unveiled what is believes to be the industry’s first data centre switch built for the artificial intelligence (AI) era — CloudEngine 16800.
Huawei defines three characteristics of data centre switches in the AI era: embedded AI chip, 48-port 400GE line card per slot, and the capability to evolve to the autonomous driving network, and innovatively incorporates AI technologies into data center switches. The pervasive use of AI will help customers accelerate intelligent transformation.
According to Huawei’s Global Industry Vision (GIV) 2025, the AI adoption rate will increase from 16% in 2015 to 86% in 2025. The capability of leveraging AI to reshape business models, make decisions, and improve customer experiences will become a key driving force.
Kevin Hu, president of Huawei Network Product Line, says: “A fully connected, intelligent world is fast approaching. Data centres become the core of the new infrastructures such as 5G and AI. Huawei will first introduce AI technology to data center switches, leading data center networks from the cloud era to the AI era.”
With the advent of the AI era, the AI computing power is affected by the performance of data centre networks, which is becoming a key bottleneck of the AI commercial process.
On a traditional Ethernet, the AI computing power of data centers can only reach up to 50% due to a packet loss rate of 1‰. At the same time, the industry expects that the annual volume of data worldwide will increase from 10 zettabytes in 2018 to 180 zettabytes (180 billion terabytes) in 2025. Existing 100GE data centre networks will be unable to handle the predicted data flood.
In addition, traditional manual O&M methods will be unable to meet requirements as the number of data centre servers continues to increase and the computing network, storage network, and data network become converged. It is therefore imperative that innovative technologies be developed and introduced to improve the intelligent O&M capability.
The CloudEngine 16800, the first data centre switch in the industry to leverage the power of an embedded high-performance AI chip, uses the iLossless algorithm to implement auto-sensing and auto-optimisation of the traffic model, thereby realizing lower latency and higher throughput based on zero packet loss.
The CloudEngine 16800 overcomes the computing power limitations caused by packet loss on the traditional Ethernet, increasing the AI computing power from 50% to 100% and improving the data storage Input/Output Operations Per Second (IOPS) by 30%.
The CloudEngine 16800 boasts an upgraded hardware switching platform, and with its orthogonal architecture, overcomes multiple technical challenges such as high-speed signal transmission, heat dissipation, and power supply.
It provides the industry’s highest density 48-port 400GE line card per slot and the industry’s largest 768-port 400GE switching capacity (five times the industry average), meeting the traffic multiplication requirements in the AI era. In addition, the power consumption per bit is reduced by 50%, ensuring greener operation.
The CloudEngine 16800 is embedded with an AI chip, enhancing the intelligence level of devices deployed at the network edge and enabling the switch to implement local inference and rapid decision-making in real time. With CloudEngine 16800’s local intelligence and the centralised network analyser FabricInsight, the distributed AI O&M architecture identifies faults in seconds and automatically locates the faults in minutes, helping to accelerate the advent of autonomous driving network.
Furthermore, this architecture greatly improves the flexibility and deployability of O&M systems.
Leon Wang, GM of Huawei Data Center Network Domain, says: “Huawei CloudEngine series data centre switches have been successfully launched into commercial use for more than 6000 customers, helping digital transformation of industry customers such as finance, Internet, and carrier customers. Huawei launched the CloudEngine 16800 to help customers accelerate intelligent transformation, achieve pervasive use of AI, and jointly build a fully connected and intelligent world.”