XC7K480T-2FFG1156C_XC7Z10-FFG900ABX Introduction

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." 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.

As an FPGA (Field Programmable Gate Array)-based company, Xilinx's strategy lies in three aspects: "data center priority", "accelerating the development of the core market" and "driving adaptive computing". This year, it has successively released the integrated SmartNIC platform AlveoU25, the strongest 7nm cloud chip Versal Premium, and an innovative TCON (Timing Controller, timing controller) solution for FPGA devices.

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Text is one of mankind's most intelligent and influential creations. The rich and precise high-level semantics contained in text can help us understand the world around us and be used to build autonomous solutions that can be deployed in real-world environments. Therefore, automatic text reading in natural environments, also known as scene text detection/recognition or Photo OCR (Optical Character Recognition), has become a research topic of increasing interest and importance in the field of computer vision.

It automatically adapts to Xilinx hardware based on software and algorithms without VHDL or Verilog expertise. Xilinx Vitis™ is a free, open-source development platform that encapsulates hardware modules into software-callable functions, while being compatible with standard development environments, tools, and open-source libraries.

Go language to FPGA platform builds custom, reprogrammable, low-latency accelerators using software-defined chips. GraphSim is a graph-based ArtSim SSSP algorithm. The resulting archive conforms to the RFC 1952 GZIP file format specification. It is a preconfigured, ready-to-run image for executing Dijkstra's shortest path search algorithm on Amazon's FGPA-accelerated F1. The GZIP accelerator provides hardware-accelerated gzip compression up to 25 times faster than CPU compression.

A total of 4 CPUs were released this time, namely Ryzen9 5950X, Ryzen9 5900X, Ryzen7 5800X and Ryzen5 5600X. 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.

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XC7K325T-1FFG676C XC7K325T-1FFG676 XC7K325T-1FF900I XC7K325T-1FF900I XC7K325T-1FF900C XC7K325T-1FF900C XC7K325T-1FF676I XC7K325T-1FF676C XC7K325T-1FBG900I XC7K325T-1FBG900C XC7K325T-1FBG900 XC7K325T-1FBG676I XC7K325T-1FBG676C XC7K325T-1FBG676 XC7K325T-1FB900I XC7K325T-1FB900C XC7K325T- 1FB676I XC7K325T-1FB676C.

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XC7K480T-2FFG1156C_XC7Z10-FFG900ABX

Based on Xilinx UltraScale+™ VU37P FPGA and equipped with 8GB HBM memory, the mezzanine card complies with the Open Accelerator Infrastructure (OAI) specification and can support seven 25Gbps x8 links, providing a rich inter-module system topology for distributed acceleration. In addition, Xilinx has released the world's first FPGA-based Open Compute Accelerator Module (OAM) proof-of-concept board.

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. . 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. In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion. 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.