XC7Z030-L2SBG485I_XC7Z010-L1CLG400I Introduction

Xilinx, Inc. (NASDAQ: XLNX), the global leader in adaptive and intelligent computing, today announced the Zynq RFSoC DFE, a new class of breakthrough adaptive radio platforms designed to Meet evolving 5G NR wireless application standards.

The Kintex-7 FPGA DSP Kit combines the KC705 base platform and integrated high-speed analog blocks to accelerate advanced DSP designs. The Kintex-7 FPGA Embedded Kit is a ready-to-use platform for soft FPGA-based processor systems with high-performance memory and Ethernet interfaces.

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The introduction of acap will help salespeople compete with higher-level competitors in new markets. Obviously, this is for Intel and Nvidia. This equates to a successful promotion of sales, which will compete on a higher level with the likes of Intel and Nvidia. Since larger competitor altera has fallen into Intel's pocket in 2015, new competitors in sales have become Intel, nvida, and others. Flexibility is one of the core selling points of acap. Especially in the era of artificial intelligence, Xilinx also hopes to use this advantage to achieve the inheritance of Intel and Invida. In the face of competitors such as Intel and Nvidia, we should focus on the core competitiveness of sales, that is, the hardware level can be very flexible and adaptable according to different workloads and efforts, rather than competing with them in the traditional field.

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.