XCS30XL-4PC256I_XQ2VP40-5FG676N Introduction

In fact, a similar plot was staged as early as 2015, when Intel (Intel) acquired FPGA manufacturer Altera for $16.7 billion, and Altera also followed the trend for Intel's follow-up "CPU+xPU (GPU+FPGA+ASIC+ eASIC)” strategy provides the most solid foundation. On the other hand, AMD and Xilinx have been working closely together for a long time. A series of storage system-oriented IPs such as NVMe HA, NVMe TC and Embedded RDMA previously provided for AMD EPYC (Xiaolong) data center processors can help AMD build low latency The high-efficiency data path, thus realizing the efficient storage acceleration function of FPGA.

Advanced Micro Devices (AMD) is in advanced talks to buy chipmaker Xilinx in a deal that could be worth more than $30 billion. . The deal could be finalized as soon as next week, people familiar with the matter said.

XCS30XL-4PC256I_XQ2VP40-5FG676N

XCS30XL-34BG256C

Go language to FPGA platform builds custom, reprogrammable, low-latency accelerators using software-defined chips. GraphSim is a graph-based ArtSim SSSP algorithm. The GZIP accelerator provides hardware-accelerated gzip compression up to 25 times faster than CPU compression. 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 AI engine is a highly optimized processor that includes the following key features: 32-bit scalar RISC processor (named Scalar Unit) 1 x 512b SIMD vector unit (vector fixed-point/integer unit available) and 1 single-precision floating-point (SPFP) ) Vector Unit 3 Address Generator Units (AGU) Very Long Instruction Word (VLIW) Function 3 Data Memory Ports (2 Load Ports, 1 Store Port) Direct Streaming Interface (2 Input Streams, 2 Output Streams) ).

Judging from the official comparison data, the new generation of Ryzen 5000 series processors is much stronger than the tenth-generation products of competitors: Ryzen 9 5900X is 13% higher than i9-10900K in single thread and 23% higher in multi-thread. %, 3% better gaming performance at 1080p. Compared with the i7-10700K, the Ryzen 7 5800X is 9% higher in single thread, 11% higher in multi-thread, and the 1080p game performance is the same. Compared with the i5-10600K, the Ryzen 5 5600X is 19% higher in single thread, 20% higher in multi-threading, and 13% higher in 1080p gaming performance. Among them, the Ryzen 9 5900X processor has been praised by AMD as "the best gaming CPU in the world" - this title has always been in the hands of Intel. The brand new architecture, the strongest game processor should come, and so on, the party has not waited in vain.

According to the report data released by IC Insights, a third-party analysis agency on September 29, the total value of global semiconductor mergers and acquisitions soared to US$63.1 billion in the first nine months of 2020, of which the two transactions of Nvidia-Arm and ADI-Maxim accounted for about 97% of total M&A in 2020. These two transactions have made the global semiconductor landscape go through a new round of mergers and acquisitions and reshuffles. If AMD reaches an acquisition agreement with Xilinx, the value of semiconductor M&A transactions in 2020 may also rise to $93.1 billion, making it the third largest merger and acquisition year in the history of the semiconductor industry. In the first quarter of this year, the value of semiconductor M&A transactions was $1.8 billion, and it only reached $165 million in the second quarter. In fact, 2020 was supposed to be a sluggish year for mergers and acquisitions in the semiconductor market, affected by the new crown epidemic and Sino-US relations. However, in the third quarter, the demand for the semiconductor market has recovered significantly, and the cost expenditure has increased, and a new wave of mergers and acquisitions has emerged.

XCS30XL-4PC256I_XQ2VP40-5FG676N

XQ4VLX100-10FF1148I

XCV1600E-6BG560I XCV1600E-6BG560C XCV1600E-6BG560 XCV1600E-6BG240I XCV1600E-6BG240C XCV1600E-5BG560I XCV1600E-4FG680I XCV1600E-4FG680C XCV1600E-4BG560I XCV1600E-4BG560C XCV1600E XCV150TMPQ240-4 。

XCS30XLVQ100AKP XCS30XLVQ100-4I XCS30XLVQ100-4C XCS30XL-VQ100 XCS30XLTQ144AKP-4I XCS30XLTQ144AKP0645 XCS30XL-TQ144AKP XCS30XLTQ144AKP XCS30XLTQ144AK-4I XCS30XLTQ144A XCS30XLTQ144-4C XCS30XL-TQ144 XCS30XLTMPQ208AKP XCS30XLtm-4PQ240C XCS30XLTM-4ITQ144AKP 。

XQ7VM485T-1RF1761M XQ7VX690T-1EF1930I XQ7V585T-1RF1761M XQ7VX690T-1RF1930I XQ7V585T-1F1157I XQ7VX690T-1F1930I XQ7V690T-2RF1761I XQ7V585T-2RF1761I XQ7V585T-1RF1761I XQ7VX330T-1RF1157M XQ7V585T-L2RF1157E XQ7V585T-1RF1157M XQ7VX485T-1RF1761M XQ7V585T-1RF1157I XQ7VX690T-2RF1157I XQ7VX330T-1RF1157I 。

XCV200-5BGG256I XCV200-5BGG256C XCV200-5BG352I XCV200-5BG352C XCV200-5BG256I XCV200-5BG256C XCV200-4PQG240I XCV200-4PQG240C XCV200-4PQ240I XCV200-4PQ240C XCV200-4PQ240 XCV200-4PQ240 XCV200-4FGG456I XCV200-4FGG456C XCV200-4FGG256I XCV200-4FGG256C XCV200- 4FG456I XCV200-4FG456C.

XCS30XL-4PC256I_XQ2VP40-5FG676N

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

The need to reduce the cost of chips, reduce the risk of shooting, and shorten the time to market will further erupt. As current chip manufacturing processes become more complex and chip designs become more complex, initial costs for chip design manufacturers have skyrocketed, and the risks of tape have further increased. This is equivalent to the successful promotion of Xilinx, and will have higher competition with companies such as Intel and Nvidia. Against competitors like Intel and NVIDIA, you should focus on Xilinx's core competency, which is at the hardware level, it can be flexible and adaptable according to different workloads and forces, rather than traditional domain and competition. As a larger competitor, Altera has joined Intel in 2015, and Xilinx's new competitors have become Intel, NVIDIA and others.