On the second day of IDF 2016, Ren Muxin, President of Intel Internet of Things Business and System Architecture Division, and Intel Executive Vice President and Bernana, General Manager of Data Center Business Department, explained to us the future in Intel's eyes. In the context of the Internet of Everything, every link of data production, transmission, exchange, storage, and processing contains huge value, and there is Intel behind every link.
Data in life
Ren Muxin, President of Intel Internet of Things Business and System Architecture Division
Ren Muxin said that we are in a data era, and every day we generate a large number of data exchanges through various devices. He combined PPT to explain that one person generates about 1.5GB of data exchange a day, while an Internet car (with driverless function) generates 4TB of data a day, and an Internet factory generates 1000000GB/day. These data are staggering. At the same time, he also used Twitter as an example. Twitter is a social live broadcast platform (similar to domestic live broadcast platforms such as Betta and Panda), and most of their content is mainly live games. Their data shows that they have more than 100 million viewers watching their live games every month, and the number of anchors conducting live games every month is about 1.7 million.
Again in the speech "By 2020, there will be about 50 billion networked devices in the world" (This data was also mentioned in IDF's speech on the first day.). Intel believes that the value of data cannot be ignored. These data are valuable from collection, exchange and processing to every link around the data. The value of data is getting higher and higher. Most of the data is just collected, not applied in the right place. AI can effectively use these data. When we use data analysis through AI to make these data generate value, quantitative change will lead to qualitative change, and society will change. This is precisely why AI excites Intel.
About 5G
The evolution of technologies required for a truly intelligent and connected world will include Three characteristics ：
1. Computing will be ubiquitous. By 2020, it is estimated that more than 50 billion devices will be interconnected.
2. Computing, analysis and storage scattered in the network structure transform the interconnection and data into meaningful and complete cognition.
3. Through the network and cloud, things are connected everywhere.
The 5G technology is the foundation of these. Intel can support 5G end-to-end through solutions (from device to network and cloud), and support new in-depth cooperation with cross industry leaders (from device manufacturers to network operators). AT&T, docomo and current are all deep partners of Intel.
AT&T SVP took the stage and introduced the transformation of network and service delivery. AT&T has begun to take advantage of server, cloud and virtualization technologies. Through further cooperation with Intel, it continues to accelerate the development, deployment and realization of new services in the cloud and the entire infrastructure, thus laying the foundation for delivering the next generation of cutting-edge functions.
Intel： Improve the efficiency of cloud computing
Bernana, Executive Vice President of Intel and General Manager of Data Center Business Unit
The increase of networked devices means that the demand for cloud computing increases. The data generated by billions of networked devices requires powerful cloud computing for data processing. How to improve the efficiency of cloud computing for public cloud, private cloud and hybrid cloud is an issue of concern for Intel.
The first Intel silicon optoelectronic 100G optical transceiver
In cloud data centers around the world, the demand for connectivity is growing rapidly. The traffic between machines in the data center will double every 12 months. The network has been unable to keep pace with the growth of data, computing and storage performance. In order to break through the bandwidth limitation, cloud service providers are seeking connections with higher speeds than copper wires, and can obtain the most economical technology and implementation through reduction. This is where Intel Silicon Optoelectronics can revolutionize the data center.
Silicon optoelectronics combines two of the most important inventions in the 20th century - silicon integrated circuit and semiconductor laser. Through this integration, light is integrated into the Intel chip platform, making full use of the bandwidth and distance advantages of optical fiber connection in terms of silicon size and technical functions. The key progress of silicon optoelectronic 100G optical transceivers being put into commercial use will enable leading cloud service providers such as Microsoft, Amazon, Baidu, Alibaba, Tencent, etc. to use the power of light to transmit a large amount of information at 100 Gbps from thousands of kilometers away on optical cables using optical signals.
Artificial intelligence in the eyes of Intel
When it comes to AI, Intel always believes that its three directions are perception, learning and interaction. The early stage of AI lies in machine learning At the same time, machine learning is also the fastest growing field in artificial intelligence. It is an important computing method to expand the application and development of artificial intelligence. The core of machine learning is to use computer algorithms to make predictions based on data, so that machines can act or think and execute specific functions without explicit instructions.
And deep learning is a branch of machine learning, which is a new and rapidly growing field. Deep learning uses neural networks to understand more complex unstructured data, and has made breakthroughs in such areas as image recognition, speech recognition, natural language processing and other complex tasks.
Intel provides a consistent programming model and common architecture that can be used on high-performance computing, data analysis, and machine learning workloads to achieve rapid learning and response, and reduce the time spent training machine models.
Finally, Intel released their new generation XeON PHI processor, code named Knights Mill. Zhiqiang Ronghe series has always been used for large-scale data computing and cloud computing acceleration. Knights Mill has optimized the horizontal expansion analysis function and will include key enhancement functions for in-depth learning training.
Previously, Intel acquired Nevana Systems, the recognized leader in deep learning, whose advantages in silicon technology will strongly strengthen Intel's AI product portfolio, and enhance the performance and total cost of Intel Xeon and Intel Xeon fusion core processors in deep learning.
Intel believes that Xeon Fusion Core Processor It enables data scientists to train complex machine algorithms faster than GPU, and run more extensive workloads than GPU. In the 32 node infrastructure, the Intel Xeon fusion core processor family provides 1.38 times the scalability of the GPU.
Write at the end:
Whether it is artificial intelligence, 5G, cloud, or the Internet of Things, Intel hopes that they can be deeply involved in these fields that will become the wind tunnel of the future. If they do not grasp these fields, they will miss the future. Fortunately, Intel has been doing behind the scenes work in the industry. When we watch videos, surf the Internet, and play games, network service providers provide these services that are based on data and cloud. Behind the data and cloud is Intel software and hardware technical support. However, Intel still faces many challenges in these fields, from ARM and Nvidia.
