Recently, IPF2020 wave cloud data center partner conference was held in the online, wave, with global partners in the industry elite, industry leaders gathered together the cloud, to discuss the social changes brought by the emerging market opportunities, with partners to discuss and win-win,
No data do not calculate not calculate transition
This spring, a new epidemic raged, poses a great impact on the global economy development, also changed our way of life, people's work, study, entertainment from offline to online, online business growing rapidly further exacerbated the explosive growth of data,
Digital economy has become a global economic development main line, from all walks of life, digital intelligent transformation also has become a inevitable trend, the industry application not only digital perception of data and information, transport, storage, processing ability put forward higher request, the digital platform, big data platform, the demand such as cloud infrastructure platform also continues to grow,
Digital data generated by the nuclear explosion and data value and can no longer ignore, data are becoming like power, oil is just as important as energy, and computing power is productivity, wisdom is center is the wisdom of the era of the new infrastructure,
Mining data value need more computing power
Contains a great value in the data, if enterprises can make full use of, will be conducive to better make key decisions, gain new insights and provide differentiated services, at present, collect data for enterprises has become easy, but it is full of challenge to the value of data, according to statistics, the current is less than 2% of the enterprise data is stored, only 10% of it is used for data analysis,
How to give full play to the enterprise data value? Wave in IPF2020 meeting, give us the answer: use more computing power, faster, more real-time analysis data,
With the increase database, computing power tend to be limited to the memory, cause access currently is out of the data in memory, the time required to increase, this means moving data to the system memory, can speed up the database query, but the problem is in front of the enterprise data center, of the high cost of memory has limited capacity and unable to save the data during the system restart, which inevitably limits the database performance,
How to help you see the wave server broken
Wave server with a proud Intel teng lasting memory, to subvert the original database system architecture, in the dynamic random access memory (DRAM) and construction of large capacity between solid state disk persistent memory layer, speed up the speed, reduce the operation cost,
With intelligent data management functions, intelligent data can be deposited in the appropriate to their level, significantly improve performance, help users in close to the processor's memory system load size than previous data set, meet, including in-memory database, almost all load requirements, the application of ouchi entities required to get more data processing and analysis to real-time,
Intel: persistent memory can be proud as DRAM memory, seamless installation in wave server DDR4 slot, break through the past memory limit, data persistence, better elasticity and enhanced powerful hardware encryption function, such as better escort for the enterprise data, easily meet the data analysis, cloud, virtualization and so on workload stringent requirements for performance,
Tested, relying on wave Intel server with a proud teng lasting memory of cloud platform virtualization, each node can be deployed number of virtual machines increases up to 36%, lower costs as much as 30%, database 13.7 million IOPS,
So far, the wave Intel server with a proud teng data center level lasting memory, has become the domestic numerous leading Internet, financial technology, artificial intelligence, communications industry provide powerful computing power support, promote the innovation of the enterprise user data processing and analysis platform to upgrade, to help users to manage data deluge, make the world insight, Shared data dividends,