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崎岖边缘生存电子书

趋势|Insight |解决方案

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硬件加速:EDGEBoost节点(介绍)

edgeboost节点引入


Premio EDGEBoost节点

工业4.0在崎岖的边缘推动了对更多智能的需求。 企业和组织想要更好的 访问 的实时见解,可以 使更好的业务 结果。 尤其是最新的 技术 收敛的计算,存储, 和无线连接在串联工作,工业计算 设计师 需要 评估  最好的设计好处和硬件要求可靠、低延迟性能。 

边缘计算通过处理更接近数据生成源的数据,为企业和组织带来了巨大的利益。例如,边缘计算减少了处理数据所需的 互联网带宽,与云计算相比,显著降低了延迟。此外,边缘计算支持需要极低延迟的新应用程序。 此外,将更多的资源分配到边缘可以为实时智能和自动化创造更好的工作负载利用率。 为此,Premio设计并构建了 加固边缘计算 解决方案,可以部署在移动、远程和不适合普通桌面计算机的恶劣环境中。 备用yabovip

当设计RCO-6100系列AI Edge推理计算机,工程师们走出了他们的舒适区,最终创建了一个计算解决方案,解决了关键的硬件需求 的电力效率 计算在边缘。  有数只- 6100系列 AI推理边缘 计算机    提供最大的加工性能,设计 访问超高速 NVMe SSD存储设备,和 高速有线和无线连接  边缘。

介绍Premio的 EDGEBoost 加固边缘计算节点

RCO-6100系列集成了先进的性能,包括英特尔9 一代核心处理器,GPU支持,可热插拔 NVMe SSD存储。强大的cpu与强大的gpu和超高速 NVMe SSD存储为组织提供了低延迟的数据处理和在具有挑战性的设置中运行复杂推理分析的能力。

RCO-6100系列OrditionStormstysto的Newtwo-earmodular设计促进了工业计算机的机器学习和深度学习推断分析的性能。EdgeBoostnodes轻松附加到RCO-6100系列的埃默省部分,提供了需要数据采集以进行实时洞察的数据采集。

Thetwo-ageModular DesignallyedPremio保持工业PCModulethat Housesthe CPU,主板和敏感电子产品的坚固性。底部模块通过NVME SSD和GPU提供性能加速度。 Each EDGEBoost Node uses powerful high-RPM active cooling in order to ensure reliability for powerful GPUs and NVMe SSD storage drives, preventing the system from overheating. As a result, system integrators can quickly scale edge deployments with the RCO-6100 AI Edge Inference computer with the necessary compute, storage, and connectivity requirements.

EDGEBoost 节点 通过 提供额外的高容量、高速 NVMe SSD存储和GPU性能加速,增强了 的RCO-6100系列的推理能力。 此外, NVMe SSD 和 的支持作为PCIe创3连接有效地提供了集成的CPU和GPU,具有数据卷,在边缘实现了更逆的推理分析。 

Premio在坚固边缘系统设计和 硬件制造方面的领导地位 为 引入了物联网集成和自动化能力的新领域,推动了 的根本性转变 在工业企业如何运营和竞争中。 

Premio的边缘计算解决方案提供强大的性能,同备用yabovip时保持坚固性,紧凑性和能源效率。 了解更多关于 的不同方法,你可以配置 全新 RCO-6100系列的AI边缘推理计算机 下面。

EDGEBoost 节点 是高度可配置的 性能增强器,设计为 以满足复杂应用程序的需求,这些应用程序需要 功能强大的 数据处理、高速数据存储和边缘推理能力。 EDGEBoost 节点附加到RCO-6100系列的下部,为复杂的边缘工作负载提供 NVMe 存储和GPU加速 。 EDGEBoost 节点将最新技术带入硬件现实, 为机器学习和智能自动化提供了 新的可能性。 以下是三个 不同的 EDGEBoost Nodes Premio提供:

EDGEBoost Node #1 - RCO-6141E-4U2C-2060S AI边缘推理计算机

有数只- 6141 e - 4 - u2c - 2060


第一个EDGEBoost节点连接到一个基础RCO-6100系列,并增加了一个热插拔 NVMe SSD罐,能够填充多达4x 可锁和 热插拔2.5 " U.2 NVMe SSD在7mm高度。EDGEBoost节点还增加了PCIe扩展插槽,使组织和系统集成商能够添加Nvidia 2060 Super GPU进行推理加速。

关键好处

添加 NVMe SSD存储到边缘计算解决方案导致更多的自反AI推理能力,因为 NVM备用yabovipe SSD存储通过PCIe Gen 3提供了显著低于SATA SSD的延迟。 此外,这个 EDGEBoost 节点可以配置一个图形处理单元,启用GPU加速。gpu能够加速AI工作负载,比如机器学习推理和深度学习推理,因为比起仅仅依赖CPU来处理数据,gpu能够并行处理更多的数据。

EDGEBoost Node #2 - RCO-6141E-4U2C-HWR AI边缘推理计算机


第二个 EDGEBoost 节点关注 超高速 NVMe 存储,但支持 NVMe SSD存储介质在2.5“U.2 15mm的形式因素更高的容量。 此外,此 特定的 EDGEBoost 节点提供x4可锁和热插拔 NVMe ssd可在 硬件 RAID选项在0、1、5和10。

钥匙扣

DecondedgeBoostnode提供reflexiveai推广加法anddds densenvmessdstorage,包括需要高容量和超高速SSD存储的应用程序。例如,自主车辆和ADAS开发应用需要SSD存储TOSTOREHIGHT分辨率相机镜头和传感器数据的TERABYTES,使得这些数据可以在稍后的时间用于培训自动车辆和高级驾驶辅助系统算法。 

EDGEBoost Node #3 - RCO-6141E-8U2C-SWR  AI边缘推理计算机


第三个 EDGEBoost 节点重点是超高速 NVMe 存储。它为 用户提供了通过两个热插拔 NVMe SSD罐砖增加8倍可锁和热插拔2.5 " U.2 NVMe 7mm高度SSD的能力。罐的设计允许组织 快速、轻松地从系统中删除所有ssd ,将关键任务数据卸载到中央计算机系统。这允许一种简单而有效的方式将数据从边缘传输到一个位置 , 资源保留 用于训练机器学习和深度学习模型。

钥匙扣

对于需要最大数量的高速 NVMe 存储的应用程序,第三个 EDGEBoost 节点是理想的,因为它可以配置多达8 NVMe ssd,提供 高容量, 在崎岖的边缘超高速固态存储。

EDGEBoost Node #4 - RCO-6120-2060S AI边缘推理计算机


的GPU-only EDGEBoost 节点通过Nvidia RTX2060S图形处理单元为组织提供GPU加速。GPU舒适地坐落在PCIe Gen 3 x16插槽中,为组织提供了在崎岖边缘的快速GPU加速推断能力。  

关键好处

用GPU配置你的系统可以在崎岖的边缘提供推理分析加速。这是可能的,因为gpu比cpu更有能力执行推理分析。事实上,GPU可以大幅提高深度学习推理和机器学习推理的速度,因为它们可以并行执行大量的计算,这要归功于GPU内核的可用性。

 EDGEBoost 节点# 5 - 有数只- 6122 无风扇 工业计算机


Theriser OptizatedBoostNode.提供2个PCI/PCIe扩展插槽,为用户提供扩展插槽能力。扩展槽为系统集成商提供了为工业计算工作负载配置系统插件卡的能力。 EDGEBoost 节点提供了三个扩展选项:

选项1:1x PCIe x16和x1 PCI扩展插槽  

选项2:2x PCIe x8扩展插槽  

选项3:2x PCI扩展插槽 

关键好处

该展望欺诈的关键优势是它通过允许它们使用PCieorpci加载卡填充设备来提供组织扩展功能。例如,组织可以将捕获卡或任何其他PCIe / PCI扩展卡添加到可用插槽中。

前10名 必备  加固边缘部署要求 

虽然Premio的RCO-6100系列 AI 边缘推理计算机 提供了大量的性能 在边缘,Premio 了解 ,它的解决方案经常部署在不稳定的环境 不适合  常规台式电脑。备用yabovip因此,Premio已经加固了RCO-6100系列 ,提供 高性能 计算 的能力,同时承受 部署在世界上最具挑战性的环境。

边缘计算硬件要求

以下是Premio 工程师 在设计和构建坚固的边缘计算硬件时遵循的硬件要求 :

1.Edge电脑必须坚固耐用,无风扇

Premio的边缘计算硬件经过了加固,能够承受由于灰尘、碎片、冲击、振动、极端温度和其他具有挑战性的环境因素而不适用于普通台式电脑的恶劣环境。 Premio在边缘计算硬件中包含的最关键的设计元素,包括RCO-6100系列, 是 无风扇 设计,这消除了所有通风口和 开口 从系统,创造一个封闭的系统抵抗灰尘,碎片和其他小颗粒。

此外,消除风扇 创造了更可靠和持久的计算解决方案,因为风扇是电子产品的常见故障点,包括工业边缘个人电脑  备用yabovip

此外,边缘计算硬件具有宽的工作温度,范围为-40°C至85°C,从而在体验极端温度的环境中展开解决方案。例如,系统可以在夏季或南极洲在寒冷的冬季炎热的沙漠中作为莫哈韦沙漠部署的系统。 This is significantly different from regular desktop computers that can only withstand deployment in temperatures that range from 5°C to 35°C.  

除了具有较宽的工作温度范围外,边缘计算解决方案还必须具有抗冲击和抗振动性能。备用yabovip由于 这个原因,Premio将冲击和振动抗性纳入其系统。例如,Premio的 RCO-6100系列具有 50g的抗冲击和5grm的抗振动符合MIL-STD-810G。 通过消除系统中的所有电缆,减少可能发生故障的活动部件的数量,并使用ssd(固态硬盘驱动器)代替hdd(硬盘驱动器)来实现抗冲击和振动。 

2.ERGGE计算机必须满足性能要求 

RCO-6100通过英特尔酷睿i3、i5和i7插槽处理器提供了大量的性能。Socket处理器倾向于 提供 比对应的SoC 更多的性能。 边缘计算解决方案必须能够执行的备用yabovip任务和工作负载 他们正在 被部署执行。


使用较低级别 CPU的低功耗系统可能会导致性能缓慢,在某些情况下,还会出现 系统过热和热节流。也就是说,为您的系统配备一个强大的处理器是一种浪费,因为您将 需要 确保系统有一个设计良好的 热解决方案,以防止 处理器 过热。

3. 边缘计算解决方案必须是紧凑和可备用yabovip安装的

边缘计算解决方案是紧凑的,因为备用yabovip它们通常部署在空间有限的环境中,对于全尺寸的桌面计算机来说太小 。 因此,edge pc被设计成占地面积小,允许部署在壁橱、橱柜、家具下,安装在墙壁、栏杆、天花板或其他小空间。

4.EDGE PC必须配备高速存储 

边缘计算 解决方案 ,更具体地备用yabovip说, AI边缘计算机通常部署在边缘。他们是 的任务是处理大量的数据,需要大容量,高速存储能力,以保持CPU 饱和 的数据。 可配置RCO-6100系列AI边缘计算机高速 NVMe SSD,提供 惊人的 数据传输速度,非常适合在边缘执行机器学习推理分析


此外,配备ssd(固态驱动器)的系统使整个系统更加坚固,因为ssd存储数据在硅NAND芯片上,而 是hdd(硬盘驱动器)用于存储数据的旋转金属盘片,使其更加坚固,能够应对冲击和振动。

5. 边缘计算方案必须有丰富的I/O

坚固的边缘计算解决方案备用yabovip包括RCO-6100系列在内, 配备了丰富的I/O端口,允许系统连接到新技术和旧技术。一些 标准 端口 你可以在 上找到 坚固的 边缘计算解决方案包括USB Type-A端口,串口,以太网端口(RJ4备用yabovip5/M12),和GPIO端口,允许系统容纳 一个广泛的 范围的外设,传感器,和设备。

6.Edge计算机必须具有丰富的有线和无线连接选项 

边缘计算机的硬件需求包括 有线和无线连接选项.因此,edge计算机配备了有线、无线和蜂窝连接选项。 Edge pc配备了两个RJ45 LAN端口,用于高速有线数据传输,范围从1 GbE 到 甚至 10GbE。此外,如果有线连接不可用,系统仍然可以连接到 网络 ,这得益于Wi-Fi - 6和4G、LTE和5G蜂窝网络连接。 边缘计算解决方案有双SIM卡插备用yabovip槽,允许双SIM卡插入 冗余蜂窝连接。

7. 边缘计算宽功率范围


边缘计算硬件必须具备较宽的功率范围,能够兼容  各种电源输入场景。 此外,边缘计算机配备 一些 电源保护功能,包括过压保护,过流保护,和反极性保护。

8. 边缘计算解决方案必须安全备用yabovip

边缘计算机通常部署在他们未监控的远程环境中,因此它们必须篡改篡改。出于这个原因,配备了边缘PCTPM 2.0(可信平台模块) that utilizes a cryptoprocessor that makes systems tamper-resistant by securing hardware through integrated cryptographic keys. This protects the system from brute force attacks and hardware theft.

9. 边缘计算机 必须提供支持  性能加速器

边缘计算机非常适合在边缘收集,存储,处理和分析数据; however, edge computers should be equipped with性能加速器用于实时处理和决策 用于复杂的工业负载。 新的计算和存储设计 使 的性能尽可能接近数据。以下是一些最流行的性能 加速器 用于边缘计算解决方案,因为更多的处理能力转移到边缘。 备用yabovip

A.多核cpu 多核处理器,提供比 单核 cpu更多的处理能力,因为它们类似于在一个芯片上有多个处理器。 多核顺序处理允许处理器利用多个核处理数据, 每个核作为一个单独的处理设备,允许多个任务同时运行(同时运行多个任务)。CPU中的内核越多, 系统的性能就越好,比如 ,因为它能够同时处理多个进程。

b . gpu - 图形处理单元通常安装在工业计算解决方案中,以加速机器学习和深度学习等人工智能工作负载。备用yabovip随着计算能力向边缘转移,性能加速器的作用不断增加。 部署在边缘的性能加速器 可以 以低延迟实时处理关键任务数据 ,因为边缘pc部署在离数据生成源很近的地方。 此外, gpu是极其有效的实时处理和 推理 分析自  使用 大量的 核心   并行  CPU和顺序

C. vpus-可以添加视觉处理单元以加速机器视觉算法。VPU非常适用于机器视觉应用,因为它们是针对机器视觉,机器学习,面部识别,高端视力处理进行了优化的。 

d . FPGA - 现场可编程门阵列(FPGA) 是一个性能 加速器,使用 优化嵌入式系统的特定工作负载。亚博欧冠注册 fpga 能够 加速推理分析、人工智能等工作负载,并对大量 数据进行分析,用于机器学习。在某些情况下,高端fpga可以在执行某些任务时胜过gpu,同时比gpu使用更少的功率和产生更少的热量。 

E. NVMe 计算存储- NVMe 计算存储通过在存储驱动器上进行数据存储和处理来加速计算。这意味着数据不必将 从SSD 中移出进行处理,从而实现低延迟数据处理。

10.Edge Computing S备用yabovipolutions必须是CertifiedTopassteleMetryto云

边缘计算机 的最终硬件要求是 必须通过认证,将 数据遥测传输到云。 由Premio公司提供的边缘计算硬件已经通过认证,可以将数据遥测传输到云AWS(亚马逊网络服务)物联网Greengrass 微软Azure物联网

 应用  边缘计算解决方案备用yabovip

1。ag亚博网站


Edge计算机通常部署在 工厂和制造设施 ,用于工业自动化和控制目的。边缘计算硬件用于实现传感器、工厂机械和其他设备之间的通信。此外,边缘计算机通过将多个操作分组到单个系统来合并工作负载 ,减少了必须管理和维护  的系统数量。此外,边缘pc机执行 计量和缺陷检测。 此外,边缘计算解决方案 可以从多个传感器收备用yabovip集 数据,用于计量目的和缺陷检测。他们在检测缺陷方面比人类更快, 更准确 ,从而提高效率和产品质量  

2. 自动车辆数据采集和商业车队远程信息处理


自动驾驶车辆和配备了先进驾驶辅助系统(ADAS)的车辆 严重依赖边缘计算硬件 收集和存储数据,用于 训练 引导车辆的人工智能模型。训练自动驾驶 车辆 和车辆ADAS需要收集 大量的 数据来训练深度学习和机器学习算法,以辅助车辆 驾驶,避开障碍物,避免事故。 训练这样的系统通常需要 一个 强大的计算机 能够捕获和存储真实世界的数据 到 训练 算法 之后。 由于这个原因, 强大的边缘计算解决方案被用来连接传感器,收集数据,并存储,以便日后备用yabovip训练 模型 。 此外,加固边缘车辆计算机通常部署在车队中,将数据遥测传输到云。Edge计算机提供 CANBus 支持,集成到车辆的 CANBus 网络,将丰富的车辆数据传递到云,以实现对车队的远程监控 

3. 地表及地下采矿设备


坚固边工业pc经常集成到采矿设施,设备, 和车辆,以将操作人员从危险的情况。此外,边缘计算机正在取代人类 执行 平凡的任务,这些任务可以通过工业计算解决方案更有效地完成。备用yabovip 例如,自动化 采矿任务使采矿操作人员远离危险,而是将他们转移到安全的地下控制室 远程 控制采矿车辆和设备。

4. 智能监控


边缘计算硬件通常部署到 管理 智能监测系统在对普通台式电脑不友好的挑战性环境中。Edge计算机用于 收集、处理和分析视频素材,只将触发 特定 触发器的素材发送到云端进行远程监控和分析。这减少了所需的互联网带宽,因为不是所有的视频片段都必须发送到云;只有 特定剪辑 的触发器 发送 到云 进行额外的分析和检查。这与传统模式( )不同,在传统模式中,所有视频片段都被发送到云端进行远程监控和分析。部署 edge pc 来管理智能监控系统,对于那些使用 支付 数据 的计量数据计划的人尤其有益。