From 3413267d35486909a797c2ef39990ec53e3b69e9 Mon Sep 17 00:00:00 2001 From: DarkSun Date: Tue, 13 Aug 2019 00:54:50 +0800 Subject: [PATCH] =?UTF-8?q?=E9=80=89=E9=A2=98:=2020190812=20Xilinx=20launc?= =?UTF-8?q?hes=20new=20FPGA=20cards=20that=20can=20match=20GPU=20performan?= =?UTF-8?q?ce?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit sources/talk/20190812 Xilinx launches new FPGA cards that can match GPU performance.md --- ...GA cards that can match GPU performance.md | 69 +++++++++++++++++++ 1 file changed, 69 insertions(+) create mode 100644 sources/talk/20190812 Xilinx launches new FPGA cards that can match GPU performance.md diff --git a/sources/talk/20190812 Xilinx launches new FPGA cards that can match GPU performance.md b/sources/talk/20190812 Xilinx launches new FPGA cards that can match GPU performance.md new file mode 100644 index 0000000000..d53ca0253f --- /dev/null +++ b/sources/talk/20190812 Xilinx launches new FPGA cards that can match GPU performance.md @@ -0,0 +1,69 @@ +[#]: collector: (lujun9972) +[#]: translator: ( ) +[#]: reviewer: ( ) +[#]: publisher: ( ) +[#]: url: ( ) +[#]: subject: (Xilinx launches new FPGA cards that can match GPU performance) +[#]: via: (https://www.networkworld.com/article/3430763/xilinx-launches-new-fpga-cards-that-can-match-gpu-performance.html) +[#]: author: (Andy Patrizio https://www.networkworld.com/author/Andy-Patrizio/) + +Xilinx launches new FPGA cards that can match GPU performance +====== +Xilinx says its new FPGA card, the Alveo U50, can match the performance of a GPU in areas of artificial intelligence (AI) and machine learning. +![Thinkstock][1] + +Xilinx has launched a new FPGA card, the Alveo U50, that it claims can match the performance of a GPU in areas of artificial intelligence (AI) and machine learning. + +The company claims the card is the industry’s first low-profile adaptable accelerator with PCIe Gen 4 support, which offers double the throughput over PCIe Gen3. It was finalized in 2017, but cards and motherboards to support it have been slow to come to market. + +The Alveo U50 provides customers with a programmable low-profile and low-power accelerator platform built for scale-out architectures and domain-specific acceleration of any server deployment, on premises, in the cloud, and at the edge. + +**[ Also read: [What is quantum computing (and why enterprises should care)][2] ]** + +Xilinx claims the Alveo U50 delivers 10 to 20 times improvements in throughput and latency as compared to a CPU. One thing's for sure, it beats the competition on power draw. It has a 75 watt power envelope, which is comparable to a desktop CPU and vastly better than a Xeon or GPU. + +For accelerated networking and storage workloads, the U50 card helps developers identify and eliminate latency and data movement bottlenecks by moving compute closer to the data. + +![Xilinx Alveo U50][3] + +The Alveo U50 card is the first in the Alveo portfolio to be packaged in a half-height, half-length form factor. It runs the Xilinx UltraScale+ FPGA architecture, features high-bandwidth memory (HBM2), 100 gigabits per second (100 Gbps) networking connectivity, and support for the PCIe Gen 4 and CCIX interconnects. Thanks to the 8GB of HBM2 memory, data transfer speeds can reach 400Gbps. It also supports NVMe-over-Fabric for high-speed SSD transfers. + +That’s a lot of performance packed into a small card. + +**[ [Get certified as an Apple Technical Coordinator with this seven-part online course from PluralSight.][4] ]** + +### What the Xilinx Alveo U50 can do + +Xilinx is making some big boasts about Alveo U50's capabilities: + + * Deep learning inference acceleration (speech translation): delivers up to 25x lower latency, 10x higher throughput, and significantly improved power efficiency per node compared to GPU-only for speech translation performance. + * Data analytics acceleration (database query): running the TPC-H Query benchmark, Alveo U50 delivers 4x higher throughput per hour and reduced operational costs by 3x compared to in-memory CPU. + * Computational storage acceleration (compression): delivers 20x more compression/decompression throughput, faster Hadoop and big data analytics, and over 30% lower cost per node compared to CPU-only nodes. + * Network acceleration (electronic trading): delivers 20x lower latency and sub-500ns trading time compared to CPU-only latency of 10us. + * Financial modeling (grid computing): running the Monte Carlo simulation, Alveo U50 delivers 7x greater power efficiency compared to GPU-only performance for a faster time to insight, deterministic latency and reduced operational costs. + + + +The Alveo U50 is sampling now with OEM system qualifications in process. General availability is slated for fall 2019. + +Join the Network World communities on [Facebook][5] and [LinkedIn][6] to comment on topics that are top of mind. + +-------------------------------------------------------------------------------- + +via: https://www.networkworld.com/article/3430763/xilinx-launches-new-fpga-cards-that-can-match-gpu-performance.html + +作者：[Andy Patrizio][a] +选题：[lujun9972][b] +译者：[译者ID](https://github.com/译者ID) +校对：[校对者ID](https://github.com/校对者ID) + +本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出 + +[a]: https://www.networkworld.com/author/Andy-Patrizio/ +[b]: https://github.com/lujun9972 +[1]: https://images.techhive.com/images/article/2014/04/bolts-of-light-speeding-through-the-acceleration-tunnel-95535268-100264665-large.jpg +[2]: https://www.networkworld.com/article/3275367/what-s-quantum-computing-and-why-enterprises-need-to-care.html +[3]: https://images.idgesg.net/images/article/2019/08/xilinx-alveo-u50-100808003-medium.jpg +[4]: https://pluralsight.pxf.io/c/321564/424552/7490?u=https%3A%2F%2Fwww.pluralsight.com%2Fpaths%2Fapple-certified-technical-trainer-10-11 +[5]: https://www.facebook.com/NetworkWorld/ +[6]: https://www.linkedin.com/company/network-world