The sudden increase in unstructured data represented by **, audio, and ** has led to an exponential increase in the amount of global data; The emergence of scenarios such as autonomous driving and the metaverse has put forward higher requirements for computing power, which indirectly promotes the evolution of storage forms and functions.
The continuous increase in the amount of data has made more and more people realize that static data that is simply stored has no value. Only by allowing data to flow and serve digital business at different life stages can the value of data be fully explored.
Although "data is the oil of the 21st century" has long been a consensus, the storage of massive unstructured data, if it is only hoarded and cannot be "burned" for the production and operation of enterprises, then for enterprises, it will only increase storage and management costs.
Only by efficiently storing, processing, and analyzing it to provide scientific decision-making for business operation and enterprise management, and massive unstructured data can it produce the effect of "turning stones into gold" for enterprises. In the view of Zhang Zhonghua, manager of the unstructured storage product department of Qingyun Technology, the "turning stones into gold" of data is a transformation, which is naturally not easy to achieve
How to connect multiple computing power? "There are many kinds of computing power platforms in the Tianjin Institute of Electronic Information of Tsinghua University, including scientific computing platforms, standard cloud computing platforms, high-performance computing, as well as AI computing power and GPU computing power. So how does the storage system connect with diversified computing power? Zhang Zhonghua gave an example.
How do I connect multiple storage protocols? In addition to the above-mentioned autonomous driving scenarios, the manufacturing industry in which Suzhou Huaxing Yuanchuang is located is also facing this problem: including ERP, MES, OA, CRM, etc., there are hundreds of business systems involving production and management, and there are all kinds of data, some need to be processed offline, and some need to be analyzed in real time, so how to realize the unified aggregation of data based on different protocols and realize data-driven?
How do I ensure the performance and security of my storage system? Massive amounts of unstructured data require scalability of storage systems; Emerging scenarios such as autonomous driving and AI require the latency and I-O throughput performance of storage systems. At the same time, the external environment such as the Sino-US war and information innovation requires the storage system to be autonomous and controllable. These are all questions that enterprises need to think about in the digital age.
From a technical expertise standpoint, there is no silver bullet for storage architectures. There is no architecture that can meet the extreme performance requirements, as well as the needs of massive data throughput, computing, and concurrent utilization. For the application scenarios of massive unstructured data, Tsing Cloud has launched the unified storage platform Qingstor U10000, which not only inherits all the capabilities of Tsing Cloud's original object storage and file storage, but also realizes the iteration and enhancement of product capabilities in multiple dimensions.
Qingyun storage layout is simple and clear: QingStor Neonsan is oriented to structured data and provides extreme performance; Qingstor U10000 unleashes the potential of massive unstructured data.
Under the two-wheel drive of "Qingstor Neonsan + Qingstor U10000", Qingyun Storage will also better participate in policies such as new infrastructure, "Eastern Data and Western Computing", and "14th Five-Year Plan" for the development of the digital economy, and continue to contribute to the construction of digital China.