Inspur recently delivered a shipment of rack scale servers of more than 10,000 nodes to the Baidu Beijing Shunyi data center within 8 hours, the equivalent of one server delivered every 2.88 seconds. The delivery sets a new record for
Speedis key for internet service providers
The Baidu data center in question was built in 2018 in Shunyi, Beijing, with the capacity to host hundreds of thousands of servers. The center supports Baidu’s fast-growing emerging services, including Baidu Cloud and AI. In 2018, the number of Baidu Cloud’s users and partners increased by 3 times, traffic by 5 times, and revenues by 4 times. For internet service providers, business growth is rapid and unpredictable. Unexpected surges in access traffic occurs frequently, requiring internet companies, especially Tier1s, to improve the scalability of their infrastructure, by adopting technologies like cloud computing and improving business processes to strengthen the supply chain and increase deployment efficiency in the data center.
Rack scale deployment boostsdelivery efficiency by 20 times
Inspur is one of Baidu’s key data center infrustracture providers. The two parties achieved a new record for server deployment speed as a result of continuous innovation across technical and business models over decades. As early as 2012, Inspur and Baidu were using rack scale deployment of 10-40 node increments instead of a single node.
Meanwhile, the delivery and deployment model Inspur adopted for Baidu’s data center was upgraded to L11 (Rack Level Integration), increasing delivery efficiency over 20 times. Moreover, formerly on-site deployment processes including assembly, debugging, and strong and weak power cabling of the rack were completed during manufacturing, further simplifying on-site deployment.
Agile supply chain accelerates order response
Rapid delivery relies on agile and efficient supply chain management in addition to technical innovation. Inspur is continuously upgrading business processes, including production, transportation and qualification. For example, to address the logistical challenges of transporting a 2.1 meter tall, 1.2 ton rack without incurring damage, Inspur leveraged IoT and mobile technology to develop a route spectrum test to assess each freight line in advance, with intelligent terminals on each product to monitor transport conditions in real time.
Throughout the years, Inspur has established an agile supply chain system that uses intelligent manufacturing to enable large-scale customized production and shorten the server delivery cycle.
JDM: a unique model to serve Internet companies
Internet companies are known for their speed, which forms the basis for their demands from data center infrustructure providers. They not only seek high efficiency, but also require the seamless and rapid integration of custom demands. To serve these enterprises, Inspur made product technology innovation and business chain agility the core of its business strategy. In working with CSPs, Inspur explored various operating models that are more suitable for today’s intelligent computing era, leading to the inception of its Joint Design Manufacturing (JDM) methodology. JDM is an agile business model based around deep collaboration between Inspur and the client throughout the product life cycle – demand, R&D, procurement, quality control, production, delivery, and service – to enable the fastest product turnaround and greatest compliance to users’ personalized demands.
Inspur’s vast experience in serving CSPs and deep understanding of customer application scenarios are augmented by a willingness to share technology innovations and co-design customized solutions through JDM to identify and meet precise customer needs. Inspur’s new product development cycle from R&D to manufacturing takes 9 months, and upon the customer’s request, the prototype can be delivered in 3 months. Based on that, in 2018, Inspur and Baidu established a rolling forecast mechanism to improve supply chain operation and management with balanced supply and demand, significantly shortening the overall arrival cycle.
Learn more about Inspur’s intelligent manufacturing here: https://www.inspursystems.com/intelligent-manufacturing