XC7Z030-L2FBG676I_XC7Z010-CLG225 Introduction

Compared with scripts in documents, the detection and recognition difficulties in natural scenes mainly stem from the following three major differences: . A variety of implementation schemes are currently available, and new implementation schemes are also under study. A series of daunting challenges may still be encountered when performing text detection and recognition in natural scenes.

In the data center space, it is important to realize that Xilinx can support not only compute acceleration and data center applications, but also value-creating storage and networking. In order to better adapt to the new world of intelligent interconnection, Xilinx continues to take "flexible platform" as the core of its products, seizes new industrial opportunities, and formulates three major development strategies to support wider market applications. Victor Peng pointed out that the first strategy is "data center first."

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Sales revenue was US$850 million, an increase of 24% over the same period last year; net profit was US$241 million, an increase of 27% over the same period last year. On the one hand, chip manufacturers need to rely on FPGAs for simulation and prototyping; on the other hand, CPUs, GPUs, FPGAs, and ASICs (application-specific integrated circuits) are increasingly competing in the AI market. With the development of 5G and artificial intelligence, it is expected that by 2025, the scale of FPGAs will reach about 12.521 billion US dollars. In the global fpga market, Xilinx and altera have a market share of about 90%. Even in the chip design of cpu and other chip giants such as Xilinx and intel, they will first simulate on the fpga, and then perform the streaming processing of the chip, not to mention the AI-specific chips launched by many AI algorithm companies in recent years. . In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion.

Apparently this applies to Intel and Nvidia. Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. Split the SoC prototyping and emulation market. The competition between FPGAs and ASICs will continue. Flexibility and adaptability are the main selling points of ACAP. Intel's 10nm is still delayed, allowing Xilinx to dominate the FPGA market after acquiring Altera, in addition to the cloud market that Intel is focusing on. However, at 7nm, FPGA speed and density are greatly increased, and power consumption is also lower, so this competitive landscape may change, especially for ASICs and FPGAs. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets.