惠普（HPE）正在将其AI驱动的网络自动化扩展至其混合云产品组合。此消息来自Rami Rahim，他曾是Juniper Networks的首席执行官，现任HPE网络业务总裁兼总经理，The在上周他访问澳大利亚期间与他会面。Rahim倡导HPE所称的“自动驾驶网络”——即AI辅助监控和自动修复，这是更广泛领域AIOps的一部分。这位网络业务负责人认为，AIOps将使人类网络管理员不久后无需再处理任何故障工单。
HPE is extending its AI-powered networking automation across its hybrid cloud portfolio. That news came from Rami Rahim, formerly CEO of Juniper Networks and now president and general manager of HPE's networking business, whom The met last week when he visited Australia. Rahim champions what HPE calls "self-driving networks" – AI-assisted monitoring and automated remediation, part of the broader field known as AIOps. The networking boss thinks AIOps will mean human network administrators soon won't need to work on any trouble tickets.
“我认为我们现在可能已经达到70%到80%的所有工单不需要人工干预，”Rahim表示。“在两到三年内，我们将不再有需要人工介入的问题。”他承认硬件更换将是这一规则的例外，但即使是这项工作，他也认为熟练的网络管理员不应参与其中。“技术应该在你不知情的情况下自动订购新零件。零件会通过邮寄送达，你不需要IT人员，只要一个实习生来拿这个东西，把它安装到故障设备的位置，其他一切就会自动完成。”为什么你会把职业交给机器？
"I think we're now at probably around 70 to 80 percent of all tickets don't require human intervention," Rahim said. "Within two to three years, we'll have no issues that require humans." He allows that hardware swaps will be the exception to that rule, but even for that job he thinks skilled network administrators shouldn't be involved. "The technology should, without your knowledge, order a new part. It comes in the mail and you don't need an IT person, just an intern can come and take this thing, attach it to where the failed device is, and everything else just happens automatically."
The询问为何网络管理员应该信任AIOps，鉴于遵循机器发布的错误建议不太可能提升任何人的职业前景。Rahim通过指出自动驾驶出租车在旧金山湾区已迅速获得广泛接受来作出回应，并指出首次乘客会依赖他们过去采用自动变速箱汽车、然后是定速巡航、车道保持辅助以及自动驾驶功能的经验。他指出，每一次自动化安全运行的体验都会赋予人们尝试新形式自动化的信心。
Why you'll trust your career to a machine The asked why net admins should trust AIOps, given that following bad advice issued by a machine is unlikely to improve anyone's career prospects. Rahim responded by pointing out that self-driving taxis have quickly become widely accepted in the Bay Area, and that first-time riders draw on their past experience of adopting cars with automatic transmissions, then cars with cruise control, lane assist, and self-driving capabilities. Each successive experience of automation working safely, he suggested, imparts confidence to try new forms of automation.
“因此，我们所做的就是赋予操作员逐功能、逐能力地启用自动操作的能力，”他说。“比如让AI重启交换机上的一个端口这样的简单工作，是一个很好的起点，”他建议道。
"And so what we do is we give the operators the ability to turn on actions, automated actions, feature by feature, and capability by capability," he said. Simple jobs like allowing AI to reboot a port on a switch is a fine place to start, he suggested.
他用来衡量自动化成功的指标是关于Wi-Fi性能不佳的工单数量以及这些工单被修复的速度。"我认为，如果你看一下典型企业环境中提交的第一类故障工单，那就是'Wi-Fi太差了'。""无论实际问题是什么——可能是某个应用程序宕机，或是广域网问题，或是云服务提供商问题——用户首先感受到的都是通过Wi-Fi的体验，因此问题归结起来就是'Wi-Fi太差了'。"
The metrics he uses to measure the success of automation are the number of tickets lodged about poor Wi-Fi performance and the speed with which they are fixed. "I think if you look at the number one trouble ticket that is filed in a typical enterprise environment, it is 'the Wi-Fi sucks.'" "Regardless of what the actual problem is – it could be an application going down, or a WAN issue, or a cloud provider issue – the experience is first felt through Wi-Fi and therefore it's as simple as 'The Wi-Fi sucks.'"
拉希姆认为，人工智能能够比人类更快地找出Wi-Fi性能不佳的原因，并且能够利用智能体更快地修复问题。他指出，这些智能体使得自动化变得更加重要，因为它们代表了一类依赖网络的新型用户。"我们正快速进入一个领域，在这个领域里，每个企业中的智能体数量将远远超过人类员工的数量，而它们需要可靠的网络连接来完成工作。"
Rahim thinks AI will figure out why Wi-Fi isn't at its best quicker than a human can do the job and also use agents to fix it faster. Those agents, he suggested, make automation even more important because they represent a new class of users that are dependent on networks. "We're quickly approaching a realm in which every enterprise has way more agents working than humans working, and they need a reliable network connection to do their work," he said.
组织无法将人力团队扩大到足以快速解决所有这些连接问题的规模。而且由于智能体会产生巨大的流量，买家将需要增加更多的网络硬件，这将进一步使网络规模扩大到人类无法独自管理的程度。只有人工智能，拉希姆相信，才能使这一切成为可能。"一家网络公司？"当然他会这么说，毕竟他宣称HPE的网络产品组合和人工智能能力在2025年7月完成对Juniper的收购后已是无与伦比的。
Organizations can't scale their human teams to a size at which they solve problems fast enough to manage all those connections. And because agents make so much traffic, buyers will need to add more networking hardware, which will further scale networks to a size no human can hope to manage alone. Only AI, Rahim believes, will make it possible to use AI. A 'networking company'? Of course he would say that, given that he claims HPE's networking portfolio and AI capabilities are second to none since it closed the acquisition of Juniper in July 2025.
当时的报道曾以标题"HPE-Juniper交易完成，整合问题仍存"进行覆盖。拉希姆向我们保证，进展顺利，并指出HPE仍在销售最初由Aruba和Juniper开发的Wi-Fi接入点——但如今用户可以使用任一厂商的管理工具来驱动这些设备。
The covered that moment with the headline "HPE-Juniper deal closes, integration questions remain." Rahim assured us it's going swimmingly, pointing to the fact that HPE continues to sell Wi-Fi access points that started life as products from Aruba and Juniper – but that users can now drive them with management tools from either vendor.
他自豪地指出，在收购完成后的18个月内，这已经成为可能，随后他尖锐地提到某些其他供应商实现同样目标所需的时间要长得多。他提到了思科和梅拉基：拉希姆没有表现出任何不同意的迹象。当被问及HPE首席执行官安东尼奥·内里在公司上次财报电话会议上的表态——“我们正在成为一家以网络为核心的公司”时，拉希姆强调了网络在各种工作负载中的重要性。
He proudly pointed to that becoming possible within 18 months of the acquisition closing, then made a sharp reference to certain other vendors taking far longer to achieve the same thing. The mentioned Cisco and Meraki: Rahim didn't show any signs of disagreement. Asked about HPE CEO Antonio Neri's statement on the company's last earnings call that "we are at the core becoming a networking company," Rahim emphasized networking's importance across workloads.
“当你看AI数据中心时，它已经变得和计算问题一样，更像是一个网络问题。因此，我相信网络正在整个行业中变得越来越重要，而对于HPE作为一家公司来说，这一点尤其重要，”他说。这就是为什么HPE现在正将最初在Juniper诞生的自动驾驶网络技术引入到其整个产品组合中。“我们已经，例如，将我们的网络结构管理能力与OpsRamp集成，而OpsRamp是混合云栈的可观测性软件，”拉希姆说。“这已经是一个已经完成的例子。但越来越多的功能将陆续推出。”®
"When you look at the AI datacenter, it's become as much a networking problem as it is a compute problem. So I just believe that networking is becoming more important in general for the industry, and it's certainly becoming more important for HPE as a company," he said. Which is why HPE is now bringing the self-driving network tech that started life at Juniper to the rest of its portfolio. "We've already, for example, integrated our network fabric management capabilities with OpsRamp, which is the observability software for the hybrid cloud stack," Rahim said. "So that would be an example of something that's now done. But more and more pieces will come along the way." ®