Recently, the "ZTE event" triggered by the Sino-US trade war has caused heated discussion in the electronics industry. From this, not only reflects the lag of the ability of Chinese enterprises to control compliance risks, but also becomes a major hidden danger after entering the global value chain competition. It also reflects that the development of China's science and technology is still plagued by the status quo of “lack of core and less soulâ€.
Although the matter is still undecided, but the industry's reaction to the present and the media's voice, it is not an overstatement to describe it. The first is ZTE's news of the sanctions, the founder, chairman and CEO. In the first time, "self-rescue" was dispatched together, and then many media began to make a fuss about whether ZTE would decline. What's more, if the United States really wants to hold the Chinese throat from the core technology, it is about whether the "Made in China 2025" plan can be successfully realized...
Because it is possible that "25%-30% of US supplier components prevent supply", it has uncovered a "figure" that a country is subject to in its core production capacity.
Is this reaction exaggerated? In fact, there is no such thing. The picture below shows how serious China is in “the lack of core and soulâ€.
This is a picture issued by Weibo's well-known financial blogger @曹山石, which shows the current status of China's core integrated circuit domestic chip. It can be seen that in addition to more than 10% of mobile communication terminals and NPUs in China, semiconductor memory and display systems have sporadic markets, and other fields are almost blank.
This is true in the electronic communications industry, as well as in other industries related to the information industry. In the field of artificial intelligence, companies such as Intel, NVIDIA, AMD, Qualcomm, and Xilinx have long begun to deploy in the field of AI chips.
Among them, Intel, as a traditional CPU leader, occupies more than 90% of the market share of the data center server chip market. Acquired FPGA manufacturer Altera, deep learning company Nervana Systems, took over Tesla, and became the new owner of Mobileye for a high price of 15.3 billion US dollars, which was interpreted by the outside world as a statement that would be done in the field of artificial intelligence.
In fact, behind the “buy, buy and buy†in the middle and lower reaches, we have mastered the upstream core technology and can continuously update the iteration of the iteration. In September and October last year, Intel released the Nervana Neural Network Processor (NNP) and the artificial intelligence chip Loihi. Not only ASICs are better at matrix multiplication, convolution and other mathematical operations in neural networks due to structural differences. Neuron chips are more efficient than today's processors, and energy consumption can be increased by a factor of 1000.
There are "wolves" in front, and "hubaos" in the back.
The GPU and the CPU belong to the same von Neumann structure. Because the CPU has many functions, the instruction flow control logic is complex, and there can not be too many independent instruction streams. The GPU uses a single instruction stream and multiple data streams, so that multiple execution units can process different data in the same step, which greatly enhances the computing power. It is widely used in data centers to perform computationally intensive tasks.
In the layout of the artificial intelligence industry, Nvidia seems to be farther away from Intel under the leadership of the Yellow Lord, and is being "teacher." NVIDIA's layout in the AI ​​chip field began in 2011, the world's four giants GAFA + Microsoft, and Alibaba are using NVIDIA's GPU, which accounts for 70% of the global GPU market.
Like Intel, Nvidia also invests in AI downstream industries including autopilot, data processing, and network security. Last December, the company introduced TItan V GPUs with 10 trillion floating-point performance nine times that of its predecessor, the TItan Xp. For this product, the Yellow Lord said "Volta is committed to pushing the limits of high performance computing and artificial intelligence", showing clear AI positioning.
As for AMD, although there is no big brother in the performance of CPU and GPU, as the second in the two fields, it is almost the same, and its strategic positioning in artificial intelligence is interpreted by the market as "life-saving straw". ".
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