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Xilinx 推出 Kria 自适应系统模块产品组合,在边缘加速创新和 AI应用

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<p><em><span>可量产化</span><span>嵌入式板</span><span>卡</span><span>和低成本开发套件</span><span>可</span><span>加快设计周期,</span><span>从而</span><span>实现快速部署;</span><span>初</span><span>代</span><span>产品</span><span>面向</span><span>智慧</span><span>城市和</span><span>智能</span><span>工厂中的</span><span>视觉<span>&nbsp;</span></span>AI<span><span>&nbsp;</span></span><span>应用</span></em></p>

<p>赛灵思公司(&nbsp;NASDAQ: XLNX&nbsp;)今日宣布推出&nbsp;Kria™&nbsp;自适应系统模块(&nbsp;SOM&nbsp;)产品组合,这款可量产化的小尺寸嵌入式板卡可在基于边缘的应用中实现快速部署。Kria&nbsp;自适应&nbsp;SOM&nbsp;具备完整的软件堆栈与预构建的生产级加速应用,从而成为将自适应算力带向 AI&nbsp;和软件开发者的全新方式。</p>

<p><span>Kria SOM</span><span><span>&nbsp;</span></span><span>产品组合中的</span><span>首</span><span>款产品</span><span>是<span>&nbsp;</span></span><a href="https://china.xilinx.com/products/som/kria.html#portfolio"><span>Kria K26 SOM</span></a><span><span>&nbsp;</span>,其</span><span>专门</span><span>针对智慧</span><span>城市和</span><span>智能</span><span>工厂中的视觉</span><span><span>&nbsp;</span>AI</span><span><span>&nbsp;</span></span><span>应用</span><span>打造</span><span>。赛灵思</span><span>®</span><span><span>&nbsp;</span>SOM</span><span><span>&nbsp;</span></span><span>路线图</span><span>涵盖了全系列产品,</span><span>从</span><span>面向</span><span>尺寸</span><span>和成本受限</span><span>型</span><span>应用的成本</span><span>优化型</span><span><span>&nbsp;</span></span><span>SOM</span><span>,到</span><span>能够为开发者提供每瓦更高实时计算能力的高</span><span>性能模块。</span></p>

<p><img alt="赛灵思 Kria K26 SOM 专门面向智慧城市和智能工厂中的视觉 AI 应用" data-entity-type="file" data-entity-uuid="b20e3966-f978-4e7f-8832-509285ebfb77" src="http://new.eetrend.com/files/2021-04/wen_zhang_/100090259-177100-1.jpg&…; /></p>

<p><em><span>图:赛灵思</span><span><span>&nbsp;</span></span><span>Kria K26 SOM<span>&nbsp;</span></span><span>专门面向智</span><span>慧</span><span>城市和智能工厂中的视觉</span><span><span>&nbsp;</span>AI<span>&nbsp;</span></span><span>应用</span></em></p>

<p><span>赛灵思产品与平台市场营销副总裁 Kirk Saban 表示:</span><span>“赛灵思进军迅速崛起的<span>&nbsp;</span></span><span>SOM<span>&nbsp;</span></span><span>市场建立在我们不断超越芯片业务而演进的基础上。这一演进始于我们面</span><span>向数据中心推出 Alveo<span>&nbsp;</span></span><span>加速器</span><span>卡,继而</span><span>针对</span><span>嵌入式系统推出完整的板</span><span>卡</span><span>级解决方案</span><span>。</span><span>Kria SOM 产品组合</span><span>将</span><span>我们的市场</span><span>范围</span><span>延伸</span><span>至更丰富的</span><span>边缘应用,</span><span>并使得灵活应变硬件的强大功能可为</span><span>数以百万的软件和 AI 开发者</span><span>所使用</span><span>。</span><span>”</span></p>

<p><span>行业报告</span><span>显示</span><span>,</span><span>SOM<span>&nbsp;</span></span><span>市场正以每年约</span><span><span>&nbsp;</span></span><span>11%</span><span><span>&nbsp;</span></span><span>的速度增长,预计到</span><span><span>&nbsp;</span></span><span>2025</span><span>年</span><span>市场总收入将达到</span><span><span>&nbsp;</span></span><span>23</span><span><span>&nbsp;</span></span><span>亿美元</span><span>1</span><span>。</span></p>

<p><span>更</span><span>快</span><span>的</span><span>部署</span><span>时间</span></p>

<p><span>Kria SOM</span><span><span>&nbsp;</span>充分</span><span>利用</span><span>了赛灵思灵活应变</span><span>硬件的</span><span>强大功能</span><span>、性能</span><span>及</span><span>灵活性优势,</span><span>作为量产</span><span>部署</span><span>型</span><span>自适应模块交付</span><span>。通过提供</span><span>带有</span><span>预</span><span>构建</span><span>软件</span><span>堆</span><span>栈的端到端板</span><span>卡</span><span>级解决方案,Kria SOM</span><span><span>&nbsp;</span></span><span>可</span><span>以实现快速</span><span>部署。与芯片</span><span>缩减</span><span>设计</span><span>(</span><span><span>&nbsp;</span>chip-down design<span>&nbsp;</span></span><span>)</span><span>相</span><span>比,Kria SOM</span><span><span>&nbsp;</span></span><span>允许开发者从设计周期中</span><span>更为成熟的节点入手</span><span>,</span><span>进而</span><span>将部署时间缩短</span><span>多达<span>&nbsp;</span></span><span>9</span><span><span>&nbsp;</span></span><span>个月。</span></p>

<p><span>Kria K26</span><span><span>&nbsp;</span></span><span>SOM</span><span><span>&nbsp;</span></span><span>构建在</span><span><span>&nbsp;</span></span><a href="https://china.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-m…®</span></a><a href="https://china.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-m… href="https://china.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-m…™</span></a><a href="https://china.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-m… href="https://china.xilinx.com/products/silicon-devices/soc/zynq-ultrascale-m…,该架构具有四核</span><span><span>&nbsp;</span></span><span>ARM®</span><span><span>&nbsp;</span></span><span>Cortex™</span><span><span>&nbsp;</span></span><span>A53</span><span><span>&nbsp;</span></span><span>处理器、超过</span><span><span>&nbsp;</span></span><span>25<span>&nbsp;</span></span><span>万</span><span>个逻辑单元和</span><span><span>&nbsp;</span></span><span>H.264/265</span><span><span>&nbsp;</span></span><span>视频编解码器。SOM 还具</span><span>备</span><span><span>&nbsp;</span></span><span>4GB DDR4</span><span><span>&nbsp;</span></span><span>内存</span><span>和</span><span><span>&nbsp;</span></span><span>245</span><span><span>&nbsp;</span></span><span>个</span><span><span>&nbsp;</span></span><span>IO,使其可以适应</span><span>几乎</span><span>任何传感器或接口。</span><span>与基于<span>&nbsp;</span></span><span>GPU<span>&nbsp;</span></span><span>的<span>&nbsp;</span></span><span>SOM<span>&nbsp;</span></span><span>相比,</span><span>凭借</span><span><span>&nbsp;</span></span><span>1.4</span><span><span>&nbsp;</span>T</span><span>OPS 的</span><span><span>&nbsp;</span></span><span>AI</span><span><span>&nbsp;</span></span><span>算</span><span>力</span><span>,Kria K26 SOM</span><span><span>&nbsp;</span></span><span>使开发者</span><span>可以</span><span>创建</span><span>能以更低时延和功耗提供 3 倍以上性能的视觉</span><span>AI</span><span><span>&nbsp;</span></span><span>应用</span><span>。</span><span>对于安全、交通</span><span>及</span><span>城市摄像头、零售分析、机器视觉和视觉引导机器人在内的智能视觉应用</span><span>而言,这一点</span><span>至关重要。</span></p>

<p><span>赋能</span><span>数百万软件开发者</span></p>

<p><span>赛灵思</span><span>在</span><span>自身</span><span>工具流</span><span>方面大力投入</span><span>,</span><span>使自适应计算更易于为不具备</span><span>硬件专业知识的</span><span><span>&nbsp;</span>AI<span>&nbsp;</span></span><span>和软件开发者</span><span>所</span><span>使用。</span><span>通过</span><span>将</span><span>硬件和软件</span><span>平台与</span><span>可量产化视觉</span><span>加速应用相结合,Kria SOM</span><span><span>&nbsp;</span></span><span>产品组合将这种易用性</span><span>推</span><span>升到</span><span>了更高</span><span>水平。这些交钥匙应用</span><span>免</span><span>除了所有</span><span><span>&nbsp;</span>FPGA<span>&nbsp;</span></span><span>硬件设计工作,只需软件开发者集成</span><span>其</span><span>定制</span><span><span>&nbsp;</span></span><span>AI</span><span><span>&nbsp;</span></span><span>模型、应用代码,并使用熟悉的设计环境,如</span><span><span>&nbsp;</span></span><span>TensorFlow、Pytorch</span><span><span>&nbsp;</span></span><span>或</span><span><span>&nbsp;</span></span><span>Caffe</span><span><span>&nbsp;</span></span><span>框架,以及</span><span><span>&nbsp;</span></span><span>C、C++、OpenCL</span><span>™</span><span><span>&nbsp;</span></span><span>和</span><span><span>&nbsp;</span></span><span>Python</span><span><span>&nbsp;</span>编程</span><span>语言,通过</span><span><span>&nbsp;</span></span><span>Vitis™</span><span><span>&nbsp;</span></span><span>统一软件开发平台和库</span><span>对</span><span>视觉</span><span>处理流</span><span>进行</span><span>选</span><span>择性</span><span>修改。</span></p>

<p><span>借助</span><span>这</span><span>一</span><span>面向</span><span>基于软件设计的加速应用新范例,</span><span>赛灵思</span><span>宣布推出首个</span><a href="https://china.xilinx.com/products/app-store/kria.html"><span>针对</span><… href="https://china.xilinx.com/products/app-store/kria.html"><span>边缘应用的嵌入式应用…;。除了面向数据中心</span><span>的<span>&nbsp;</span></span><span>Alveo</span><span><span>&nbsp;</span></span><span>应用目录,</span><a href="https://china.xilinx.com/products/app-store.html"><span>赛灵思应用商店</span><… SOM 应用选择。</span><span>赛灵思所提供的</span><span>是开源加速应用,不仅免费提供,而且</span><span>涵盖范围</span><span>从智能摄像头跟踪和人脸检测到具</span><span>备</span><span>智能视觉的自然语言处理。</span></p>

<p><span>通过支持</span><span>标准的基于</span><span><span>&nbsp;</span></span><span>Yocto</span><span><span>&nbsp;</span></span><span>的</span><span><span>&nbsp;</span></span><span>PetaLinux,</span><span>Kria SOM</span><span><span>&nbsp;</span>还能助力</span><span>嵌入式开发者实现定制和优化</span><span>。赛灵思有史以来</span><span>首次宣布</span><span>将</span><span>与</span><span><span>&nbsp;</span></span><span>Canonical</span><span><span>&nbsp;</span></span><span>合作</span><span>支持</span><span>Ubuntu Linux</span><span>,这个</span><span><span>&nbsp;</span>L</span><span>inux</span><span><span>&nbsp;</span></span><span>发行版深受欢迎且广为<span>&nbsp;</span></span><span>AI<span>&nbsp;</span></span><span>开发者使用。这也为<span>&nbsp;</span></span><span>AI</span><span><span>&nbsp;</span></span><span>开发者</span><span>提供了广泛的</span><span>熟悉</span><span>度,以及</span><span>与</span><span>现有应用</span><span>之间的</span><span>互操作性。客户可以在任</span><span>何</span><span>一</span><span>个</span><span>环境中进行开发,也可以</span><span>选</span><span>用任</span><span>何</span><span>一</span><span>种</span><span>方</span><span>式</span><span>进行生产。两</span><span>种</span><span>环境都预</span><span>构建了</span><span>软件基础设施和实用工具。</span></p>

<p><span>Canonical/Ubuntu 市场营销副总裁 Thibaut Rouffineau 表示:</span><span>“</span><span>对于智能视觉应用</span><span>而言</span><span>,开发者和创新者</span><span>们</span><span>希望从云端到桌面都能</span><span>获得</span><span>熟悉的 Ubuntu 体验。</span><span>通过</span><span>与赛灵思</span><span>合作</span><span>,我们很高兴</span><span>能</span><span>为 Kria SOM 客户提供开箱即用的生产力、从开发到投产的</span><span>无缝</span><span>过渡</span><span>,以及</span><span>有保</span><span>障</span><span>的现场稳定性和安全性。</span><span>”</span></p>

<p><span>开箱即用的低成本开发套件</span></p>

<p><a href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… KV260</span></a><a href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm…;,完全开箱即用。</span><span>该套件专为支持</span><span>赛灵思</span><span>应用商店中提供的加速视觉应用而</span><span>打造。与此同时,作为一种绝佳途径,这款套件即便在</span><span>不了解</span><span><span>&nbsp;</span></span><span>FPGA</span><span><span>&nbsp;</span></span><span>或</span><span><span>&nbsp;</span></span><span>FPGA</span><span><span>&nbsp;</span></span><span>工具的情况下,</span><span>也能</span><span>在一小时内启动和运行。</span></p>

<p><img alt="赛灵思Kria KV260 视觉 AI 入门套件" data-entity-type="file" data-entity-uuid="ee99df4d-fca2-4bab-a82c-b683a8a1dbe4" src="http://new.eetrend.com/files/2021-04/wen_zhang_/100090259-177101-2.jpg&…; /></p>

<p><em><span>图:赛灵思Kria KV260<span>&nbsp;</span></span><span>视觉<span>&nbsp;</span></span><span>AI<span>&nbsp;</span></span><span>入门</span><span>套件</span></em></p>

<p><span>K</span><span>ria</span><span><span>&nbsp;</span>开发经验的一部分是借助</span><span>大量在线资源</span><span>进行</span><span>探索、设计和最终生产部署</span><span>的自助路径</span><span>。</span><span>凭借</span><span>教程视频、培训课程以及加速应用、设计服务等</span><span>服务提供</span><span>商</span><span>构</span><span>成的庞大生态系统</span><span>,</span><span>业余爱好者、制造商和商业开发者</span><span>皆</span><span>可加速设计周期的每个阶段。</span></p>

<p><span>定价和供</span><span>货</span><span>情况</span></p>

<p><a href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… KV260<span>&nbsp;</span></span></a><a href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm… href="https://china.xilinx.com/products/som/kria/kv260-vision-starter-kit.htm…。</span><span>一旦准备就绪可以进行部署</span><span>,客户可以无缝过渡到</span><span><span>&nbsp;</span></span><span>Kria K26</span><span><span>&nbsp;</span></span><span><span>量产版</span></span><span><span>&nbsp;</span></span><span>SOM,包</span><span>含定价</span><span>为</span><span><span>&nbsp;</span></span><span>250</span><span><span>&nbsp;</span></span><span>美元</span><span>的</span><a href="https://china.xilinx.com/products/som/kria/k26c-commercial.html"><span>… href="https://china.xilinx.com/products/som/kria/k26i-industrial.html"><span>… href="https://china.xilinx.com/products/som/kria/k26i-industrial.html"><span>…;。</span></p>

<p><span>Kria K26 SOM</span><span><span>&nbsp;</span></span><span>和</span><span><span>&nbsp;</span></span><span>KV260<span>&nbsp;</span></span><span>视觉</span><span><span>&nbsp;</span>AI</span><span><span>&nbsp;</span>入门</span><span>套件可即</span><span>刻</span><span>从</span><span>赛灵思</span><span>及其全球分销商网络</span><span>处</span><span>订购。KV260<span>&nbsp;</span></span><span>视觉入门</span><span>套件即将上市</span><span>;</span><span>商业级</span><span><span>&nbsp;</span></span><span>Kria K26 SOM</span><span><span>&nbsp;</span></span><span>将于</span><span><span>&nbsp;</span></span><span>2021</span><span><span>&nbsp;</span></span><span>年</span><span><span>&nbsp;</span></span><span>5</span><span><span>&nbsp;</span></span><span>月</span><span>出</span><span>货,工业级</span><span><span>&nbsp;</span></span><span>K26 SOM</span><span><span>&nbsp;</span></span><span>将于今年夏天</span><span>出货</span><span>。</span><span>基于<span>&nbsp;</span></span><span>Kria K26 SOM</span><span><span>&nbsp;</span></span><span>的</span><span><span>&nbsp;</span></span><span>Ubuntu Linux 预计将于</span><span><span>&nbsp;</span>2</span><span>021<span>&nbsp;</span></span><span>年</span><span><span>&nbsp;</span></span><span>7</span><span><span>&nbsp;</span></span><span>月</span><span>问世</span><span>。</span><span>欲了解更多信息,请访问</span><a href="https://www.xilinx.com/products/som/kria.html?utm_source=businesswire&a… href="https://www.xilinx.com/products/som/kria.html?utm_source=businesswire&a…;。</span></p>

<p><span>关于赛灵思</span></p>

<p><span>赛灵思开发了高度灵活和自适应的处理平台,加速了从云端到边缘再到端点各种不同技术的快速创新。赛灵思是</span><span><span>&nbsp;</span>FPGA<span>&nbsp;</span></span><span>和自适应</span><span><span>&nbsp;</span>SoC</span><span>(包括自适应计算加速平台或</span><span><span>&nbsp;</span>ACAP</span><span>)的发明者,旨在提供业界最具活力的计算技术。我们与我们的客户紧密合作,携手创建可扩展的、差异化的智能解决方案,致力于打造灵活应变、万物智能和互联互通的的未来世界。如需了解更多信息,敬请访问赛灵思中文网站:</span><span>china.xilinx.com</span><span>。</span></p>

<p><span>1.</span><span>数据来源</span><span>:</span><span>QYR</span><span>电子研究中心</span><span>,</span><span>“</span><span>Global System on Module SOM Market Report, History and Forecast 2014-2025</span><span>”</span><span>,</span><span>2019</span><span><span>&nbsp;</span>年 7 月</span><span>。</span></p>