For the next 5G network application development, Intel announced that it will respond to the server-side computing needs with its series of processor products, and also provide appropriate solutions for 5G network base stations, edge computing needs, and 5G network connectivity provisioning.
While Intel is no longer competing in the 5G network mobile device space, its strategy for 5G network applications remains unchanged, including edge computing, AI applications, and cloud architecture deployment, all of which are still ready to be built with its products.
As with the XeonScalable processor, which supports a variety of server-side computing needs and accelerates computing access through Optane memory, the FPGA architecture also supports a variety of computing needs, and the upcoming Xe display architecture is expected to enhance computing performance.
In addition, Intel has also introduced a faster network interface for packet delivery between various computing nodes, which improves overall cloud computing performance.
In line with this announcement, the second-generation Xeon Scalable processor lineup for servers not only increases the number of cores, the number of threads, and the number of caches, but also allows for the highest computing clock to reach up to 3.9GHz, which is a 36% increase in overall computing performance, or 42% more than the average cost of ownership per dollar.
At the same time, in terms of AI application computing, Intel has emphasized that compared to competitors (which should be AMDEPYC), it provides more than 6 times the computing performance, and is working with Aliyun, American Red Cross, AsiaInfo, AWS, Baidu Cloud, Yunfeng Technology, Geling Deep Pupil, Haixin Kogin, Kakao, Microsoft, Neusoft, Shanghai Jiaotong University, Siemens Medical Equipment, and so on, Shanghai Jiao Tong University, Siemens Medical Devices, Texas Advanced Computing Center, and Tencent Cloud to adopt.
In the case of 5G network data throughput applications, Intel has partnered with CenturyLink, China Mobile, SKTele, Sprint, and T-Mobile to adopt the second-generation Xeon Scalable processor, which improves network function virtualization processing efficiency by up to 58%.
Intel has emphasized that XeonScalable processors will enable a wide range of cloud computing, virtualization, and analytics for huge amounts of data, as well as optional solutions for security, analytics, AI, hybrid cloud, network computing, and supercomputing.
As for the base station portion of the 5G network service that plays an important role, Intel announced at CES2019 last year that it was launching a 5G network system-on-chip codenamed "SnowRidge" with a 10nm process design, and is now determining the official name of the chip as the AtomP5900, which will increase the efficiency of packet processing by up to 3.7 times in the network data packet processing efficiency (compared to the general software processing method), and will increase the efficiency of the network data packet processing method by up to 3.7 times compared to the previous AtomP5900. In addition to the AtomC3000, the AtomP5900 can also be used to improve the efficiency of network data packet processing by 3.7 times (compared to normal software processing), while the AtomC3000 can improve the efficiency of integer computing by 1.8 times, and can improve the efficiency of encryption by 5.6 times (compared to software processing).
In collaboration with Ericsson, Nokia, and ZTE, Intel has moved up the adoption date to 2021 from 2022.
In addition, for 5G network base station applications, Intel has previously mentioned FPGAs to achieve computing customization applications, which in turn promotes more 5G network applications and services, and announced the launch of a structured ASIC processor codenamed DiamondMesa, which improves computing performance by two times compared to the previous generation of products and saves half of the power loss in the virtualized network node application part with a number of telecom partners. In addition, the company has also partnered with a number of telecom operators, telecom industry units, and system vendors for virtualized network node applications.
In response to endpoint computing needs, Intel is also preparing to launch the Ether700 series of network cards in the second quarter of this year, which are expected to improve the edge computing transmission efficiency of each node, thereby addressing the need for more node computing to carry data transmission.
While Intel decided to give up on the 5G connectivity for mobile devices last year when Apple and Qualm resumed their settlement, it still emphasized that the concept of 5G connectivity for the entire era would not be changed, and that Intel's products would be seen in computing architectures from the cloud to the edge of the device, to promote a wider range of edge computing and AI reasoning and learning applications. The newest addition to the Intel? Core? processor is the new Intel? Core? processor.
In addition, the software operation is compatible with Intel's OpenNESS framework for edge computing applications and OpenVINO framework for AI reasoning and learning, which is also built on open source architecture.
At present, companies such as China Unicom and Tencent have already imported Intel's application solutions and used them for their smart city and virtual cloud computing development projects.
In accordance with Intel's approach, Intel expects to play an important role as a solution provider in the upcoming massive popularization of 5G connectivity applications, and to meet the needs of various types of 5G network infrastructure, as well as vertically integrated applications, and to work closely with the majority of the market, and to be compatible with more third-party applications through open source architecture.
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