{"id":75688,"date":"2023-09-28T15:59:06","date_gmt":"2023-09-28T15:59:06","guid":{"rendered":"https:\/\/electronicsmaker.com\/?p=75688"},"modified":"2023-09-28T15:59:08","modified_gmt":"2023-09-28T15:59:08","slug":"amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading","status":"publish","type":"post","link":"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading","title":{"rendered":"AMD Unveils Purpose-Built,FPGA-Based Accelerator for Ultra-Low Latency Electronic Trading"},"content":{"rendered":"\n

New AMD Alveo fintechacceleratorcard provides trading firms and brokerages with breakthroughtrade execution performance at nanosecond speedandAI-enabled trading strategies<\/em><\/p>\n\n\n\n

Solution partners Alpha Data, Exegy and Hypertec add to growing ecosystem of ultra-low latency solutions for fintech market<\/em><\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

AMD\u00a0(NASDAQ: AMD) today announced theAMD Alveo™ UL3524 accelerator card, a newfintech accelerator designed for ultra-low latency electronic trading applications.Already deployed by leading trading firms and enabling multiple solution partner offerings, the Alveo UL3524 provides proprietary traders, market makers, hedge funds,brokerages, and exchanges with a state-of-the-art FPGAplatform forelectronic trading at nanosecond(ns)speed.<\/p>\n\n\n\n

The Alveo UL3524 delivers a 7X latency improvement over prior generation FPGA technology1<\/sup>, achieving less than 3nsFPGA transceiverlatency2for accelerated trade execution.Powered by a custom 16nm Virtex™UltraScale™+ FPGA,it featuresa noveltransceiver architecture with hardened, optimized network connectivity cores to achieve breakthrough performance.Bycombining hardware flexibilitywith ultra-low latency networking on a production platform,the Alveo UL3524 enables faster design closure and deployment compared to traditional FPGA alternatives.<\/p>\n\n\n\n

\u201cIn ultra-low latency trading, a nanosecond can determine the difference between a profitable or losing trade,\u201d said Hamid Salehi, director of product marketing at AMD. \u201cThe Alveo UL3524 accelerator card is powered by the lowest latencyFPGA transceiver from AMD\u2014purpose-built to give our fintech customers an unprecedented competitive advantage in financial markets.\u201d<\/p>\n\n\n\n

Hardware Flexibility and AI-Enabled Trading Strategies<\/strong><\/p>\n\n\n\n

Featuring 64ultra-low latency transceivers, 780K LUTs of FPGA fabric, and 1,680 DSP slices of compute, the Alveo UL3254 is built to accelerate custom trading algorithms in hardware, where traders can tailor their design to evolving strategies and market conditions. Supported by traditional FPGA flows using Vivado™<\/sup> Design Suite, the product comes with a suite of reference designs and performance benchmarks that allow FPGA designers to quickly explore key metrics and develop custom trading strategies to specification, backed by global support from AMD domain experts.<\/p>\n\n\n\n

To simplify the increasing adoption of AI in the algorithmic trading market, AMD is providingdevelopers with the open-sourced and community-supported FINN development framework. By using PyTorch and neural network quantization techniques, the FINN project enables developers to reduce the size of the AI models while retaining accuracy, compiling to hardware IP, and integrating the network model into the algorithm\u2019s datapath for low latency performance. As an open-source initiative, the solution gives developers flexibility and accessibility to the latest advancements as the projects evolve.<\/p>\n\n\n\n

Enablinga Growing Ecosystem of Ultra-Low Latency Fintech Solutions<\/strong><\/p>\n\n\n\n

The Alveo UL3524 and purpose-built FPGA technology are enabling strategic partners tobuild custom solutions and infrastructure for the fintech market. Currently available partner solutions includeofferings from Alpha Data, Exegy, and Hypertec.<\/p>\n\n\n\n

The AMD Virtex™ UltraScale+ VU2PFPGA powering the Alveo UL3524 accelerator card isenabling ultra-low latency appliances from Alpha Data.<\/p>\n\n\n\n

“The new Virtex UltraScale+ FPGA from AMD brings a step change to ultra-low latency trading and networking,\u201d said David Miller, managing director of Alpha Data. \u201cWe\u2019ve developed the ADA-R9100 rack-mount appliance whichallows customers to easily access the full potential of the new AMD FPGA device.\u201d<\/p>\n\n\n\n

Exegy, a provider of end-to-end, front-office trading solutions, is supporting the Alveo UL3524 card with its nxFramework, a software and hardware development environment tailored for creating and maintaining ultra-low latency FPGA applications within the financial industry. <\/strong><\/p>\n\n\n\n

\u201cBy combining the pioneering ultra-low latency FPGA technology from AMD with Exegy’s expertise in capital markets,we\u2019re able to deliver a comprehensive solution that addresses the ever-increasing optimization needed to build the trading infrastructure of tomorrow,\u201d said Olivier Cousin, director of FPGA solutions at Exegy.<\/p>\n\n\n\n

Hypertec has optimized its ORION HF X410R-G6 High Frequency Server for the Alveo UL3524 with a custom cooling system to deploy in a 1U server form factor.<\/p>\n\n\n\n

\u201cThe engineers at Hypertec specifically designed the HF X410R-G6 to extract the best out of the capabilities and speed of the Alveo UL3524 platform, catering our solution to the most demanding low-latency tasks,\u201d said David Lim, director of product marketing, Hypertec.<\/p>\n\n\n\n

The AMD Alveo UL3524 accelerator cardis currently in production and shipping to global financial services customers.<\/p>\n","protected":false},"excerpt":{"rendered":"

New AMD Alveo fintechacceleratorcard provides trading firms and brokerages with breakthroughtrade execution performance at nanosecond speedandAI-enabled trading strategies Solution partners Alpha Data, Exegy and Hypertec add to growing ecosystem of ultra-low latency solutions for fintech market AMD\u00a0(NASDAQ: AMD) today announced theAMD Alveo™ UL3524 accelerator card, a newfintech accelerator designed for ultra-low latency electronic trading applications.Already […]<\/p>\n","protected":false},"author":2,"featured_media":75689,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7018,7020,49,7019],"yoast_head":"\nAMD Unveils Purpose-Built,FPGA-Based Accelerator for Ultra-Low Latency Electronic Trading - Electronics Maker<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AMD Unveils Purpose-Built,FPGA-Based Accelerator for Ultra-Low Latency Electronic Trading - Electronics Maker\" \/>\n<meta property=\"og:description\" content=\"New AMD Alveo fintechacceleratorcard provides trading firms and brokerages with breakthroughtrade execution performance at nanosecond speedandAI-enabled trading strategies Solution partners Alpha Data, Exegy and Hypertec add to growing ecosystem of ultra-low latency solutions for fintech market AMD\u00a0(NASDAQ: AMD) today announced theAMD Alveo™ UL3524 accelerator card, a newfintech accelerator designed for ultra-low latency electronic trading applications.Already […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading\" \/>\n<meta property=\"og:site_name\" content=\"Electronics Maker\" \/>\n<meta property=\"article:published_time\" content=\"2023-09-28T15:59:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-28T15:59:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/electronicsmaker.com\/wp-content\/uploads\/2023\/09\/Top-Down-UL3524-Fintech-Card-Top-Down_BLK_BG.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"287\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\">\n\t<meta name=\"twitter:data1\" content=\"Electronics Maker\">\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\">\n\t<meta name=\"twitter:data2\" content=\"3 minutes\">\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/electronicsmaker.com\/#website\",\"url\":\"https:\/\/electronicsmaker.com\/\",\"name\":\"Electronics Maker\",\"description\":\"Electronics Magazine\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":\"https:\/\/electronicsmaker.com\/?s={search_term_string}\",\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading#primaryimage\",\"inLanguage\":\"en-US\",\"url\":\"https:\/\/electronicsmaker.com\/wp-content\/uploads\/2023\/09\/Top-Down-UL3524-Fintech-Card-Top-Down_BLK_BG.jpg\",\"width\":600,\"height\":287},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading#webpage\",\"url\":\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading\",\"name\":\"AMD Unveils Purpose-Built,FPGA-Based Accelerator for Ultra-Low Latency Electronic Trading - Electronics Maker\",\"isPartOf\":{\"@id\":\"https:\/\/electronicsmaker.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading#primaryimage\"},\"datePublished\":\"2023-09-28T15:59:06+00:00\",\"dateModified\":\"2023-09-28T15:59:08+00:00\",\"author\":{\"@id\":\"https:\/\/electronicsmaker.com\/#\/schema\/person\/df9e9cfbf590f29e49716824dd7d81f9\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/electronicsmaker.com\/amd-unveils-purpose-builtfpga-based-accelerator-for-ultra-low-latency-electronic-trading\"]}]},{\"@type\":\"Person\",\"@id\":\"https:\/\/electronicsmaker.com\/#\/schema\/person\/df9e9cfbf590f29e49716824dd7d81f9\",\"name\":\"Electronics Maker\",\"image\":{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/electronicsmaker.com\/#personlogo\",\"inLanguage\":\"en-US\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/a4af77a4fcb00c5dfc7c1ca124a492b4?s=96&d=mm&r=g\",\"caption\":\"Electronics Maker\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","_links":{"self":[{"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/posts\/75688"}],"collection":[{"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/comments?post=75688"}],"version-history":[{"count":1,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/posts\/75688\/revisions"}],"predecessor-version":[{"id":75690,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/posts\/75688\/revisions\/75690"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/media\/75689"}],"wp:attachment":[{"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/media?parent=75688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/categories?post=75688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/electronicsmaker.com\/wp-json\/wp\/v2\/tags?post=75688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}