XC5VLX85-2FFG1153C_XC5VSX35T-1FF665C Introduction

If each instance can reduce power consumption by a certain amount, the total power consumption will be significantly reduced. In data center applications, applications may have thousands or even millions of parallel instances. To build a real application, you need to implement the monolith efficiently.

Xilinx devices enable high power efficiency for all product portfolios, including Spartan-6 series and 7 series, UltraScale™ and UltraScale+™ FPGAs and SoCs, through select silicon processes and power architectures. Below are details on specific product portfolio capabilities, silicon process advantages and benchmark comparisons. With each product generation, Xilinx continues to enhance its power-saving features, including process improvements, architectural innovations, voltage scaling strategies, and advanced software optimization strategies. Power estimates, thermal models, full software support and demo boards are now publicly available for all product families.

XC5VLX85-2FFG1153C_XC5VSX35T-1FF665C

XC6VLX130T-3FF484C

. Plus case (uppercase/lowercase/full small/small case), italic (Italian/Roman), scale (horizontal scale), weight, specified size (display/text), squiggly, serif (Generally divided into serifs and sans-serifs), this number can scale to millions, making text recognition an exciting professional discipline in the field of machine learning. As human language writing forms have evolved, thousands of unique character systems have developed.

In response to AMD's acquisition of Xilinx, the Wall Street Journal analyzed that AMD may use its high stock valuation as a bargaining chip to promote the transaction or delist Xilinx at a high price. AMD’s stock price has soared 89% this year, and its market value has now exceeded $100 billion to $101.568 billion.

As human language writing forms have evolved, thousands of unique character systems have developed. Plus case (uppercase/lowercase/full small/small case), italic (Italian/Roman), scale (horizontal scale), weight, specified size (display/text), squiggly, serif (Generally divided into serifs and sans-serifs), this number can scale to millions, making text recognition an exciting professional discipline in the field of machine learning.

Since AMD launched the Ryzen 4000 series notebook platform APU processors at CES in January this year, in order to facilitate consumers to identify and search, the Zen 3 architecture processor series was directly named the 5000 series. A total of 4 CPUs were released this time, namely Ryzen9 5950X, Ryzen9 5900X, Ryzen7 5800X and Ryzen5 5600X.

XC5VLX85-2FFG1153C_XC5VSX35T-1FF665C

XC5VLX50-3FF1153C

XC6VLX130T-1FFG1156C XC6VLX130T-3FFG1156C XC6VLX195T-1FF1156C XC6VLX130T-3FF484C XC6VLX130T-3FFG484C XC6VLX130T-2FF484C XC5VTX240T-2FF1759I XC5VTX240T-2FFG1759C XC5VTX240T-2FFG1759I XC6VLX130T-1FFG484C XC6VLX130T-1FFG484I XC6VLX130T-1FFG784C XC6VLX130T-1FFG784I XC6VLX130T-1FF484C XC5VSX95T-3FF1136C XC5VSX95T-2FFG1136I XC5VTX240T- 1FF1759C XC5VTX240T-3FF1759C XC5VTX240T-3FFG1759C XC6VLX130T-1FF1156C XC6VLX130T-1FF1156I.

XC6VLX240T-1FFG784I XC6VLX240T-2FF1156C XC6VLX365T-1FFG1759C XC6VLX240T-1FFG784C XC6VLX240T-3FF784C XC6VLX240T-3FFG784C XC6VLX365T-1FF1759C XC6VLX240T-3FFG1156C XC6VLX365T-2FF1156C XC6VLX365T-2FF1759I XC6VLX240T-3FFG1759C XC6VLX365T-2FF1156I XC6VLX550T-1FFG1760I XC6VLX550T-2FF1760C XC6VLX550T-2FF1759I XC6VLX550T-1FFG1759C XC6VLX365T- 1FF1759I XC6VLX365T-1FF1156C XC6VLX365T-1FF1156I XC6VLX550T-2FF1759C.

XC4VSX55-11FFG1148C XC4VLX80-10FF1148I XC4VLX80-10FFG1148I XC4VLX80-11FF1148C XC4VSX55-11FF1148C XC4VSX55-10FF1148I XC4VSX55-11FFG1148I XC4VSX55-10FFG1148I XC4VSX35-12FFG668C XC4VSX35-11FFG668C XC4VSX55-10FFG1148C XC4VSX35-12FF668C XC4VSX35-11FF668C XC4VSX35-10FF668I XC4VSX35-11FFG668I 。

XC4VLX160-12FF1148C XC4VLX160-12FF1513C XC4VLX160-12FFG1148C XC4VLX160-11FF1513I XC4VLX160-11FFG1148C XC4VLX160-11FFG1148I XC4VLX25-10FFG668I XC4VLX160-10FFG1513I XC4VLX160-11FF1148C XC4VLX160-11FF1148I XC4VLX160-11FF1513C XC4VSX25-11FF668C XC4VSX25-11FF668I XC4VSX25-11FFG668C XC4VSX25-11FFG668I XC4VSX25-10FF668C XC4VSX25- 10FF668I XC4VSX25-10FFG668C XC4VSX25-10FFG668I XC4VLX80-11FF1148I XC4VLX80-11FFG1148I XC4VLX80-12FF1148C XC4VLX80-12FFG1148C .

XC5VLX85-2FFG1153C_XC5VSX35T-1FF665C

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. 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. 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. 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 the global fpga market, Xilinx and altera have a market share of about 90%. In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion.

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. The competition between FPGAs and ASICs will continue. 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. Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. Flexibility and adaptability are the main selling points of ACAP. Split the SoC prototyping and emulation market. Apparently this applies to Intel and Nvidia. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets.