内容来源：https://techcrunch.com/2026/05/20/jensen-huang-says-hes-found-a-brand-new-200b-market-for-nvidia/

内容总结：

英伟达CEO黄仁勋宣称发现“2000亿美元新市场”，AI代理芯片或成下一增长极

英伟达创始人兼CEO黄仁勋再次展现出其“企业首席宣传官”的非凡能力，在最新财报电话会上高调宣布，公司已开辟一个全新的、价值高达2000亿美元的市场。尽管华尔街一直担忧谁将撼动英伟达的霸主地位，但黄仁勋凭借连续多个季度的强劲业绩，让这种“画饼”具备了相当的信用。

在本周三的财报会议上，英伟达交出了816亿美元的又一破纪录季度营收，并给出910亿美元的下一季度指引。黄仁勋顺势将3月发布的CPU新品“Vera”推至台前，称其为潜在变革性产品，并已带来亮眼销售数据。

黄仁勋将Vera定位为“全球首款专为代理型AI（Agentic AI）打造的CPU”。他解释称，AI模型的“思考”部分依赖GPU，但AI代理执行任务主要依赖CPU。与云计算领域传统CPU追求多应用并发不同，Vera专为快速处理“令牌”（token）而设计。他认为，未来全球将拥有数十亿个AI代理，每个代理都需要类似PC的工具，这将产生巨大的CPU需求。

面对AWS等云计算巨头及众多初创公司自研AI芯片的竞争，黄仁勋用数据回应：今年至今，英伟达已售出价值200亿美元的独立Vera CPU，且这仅仅是开始。他强调，Vera既可单独售卖，也能与Rubin GPU捆绑销售，已获得所有主流云服务商和系统制造商的合作部署。

“Vera为英伟达带来了一个我们从未触及的、价值2000亿美元的全新市场，”黄仁勋在电话会上表示，“世界正在为代理型AI和机器人实体AI重建计算架构，而英伟达正处在这场变革的中心。”

中文翻译：

英伟达创始人兼首席执行官黄仁勋，或许是公司史上最杰出的"造势者"之一。在对其公司前景与营收的持续乐观态度上，他或许已超越Salesforce的马克·贝尼奥夫。

即便如此，他依然能一个季度接一个季度地兑现这些豪言壮语。

我并不建议你对其宣称的"为英伟达开辟了2000亿美元全新可触及市场"抱持怀疑，而是认为他值得获得一定的信任。

黄仁勋将这一庞大新市场归功于英伟达在今年3月推出的全新CPU产品Vera。在周三的财报电话会议上——继英伟达以816亿美元营收再创季度纪录，并预测下一季度达910亿美元之后——黄仁勋将Vera定位为一款可能带来变革的产品，且其销售数据已颇为可观。

但无论英伟达表现多么出色，华尔街始终担忧什么因素会将英伟达拉下神坛。

近来，这种担忧主要集中在CPU领域。英伟达是GPU领域的王者，而CPU市场历来由英特尔和AMD等公司主导。（当然，英伟达此前也生产过CPU，但这并非其核心业务。）

例如，上月亚马逊云服务高调宣布与Meta签署了一份价值数十亿美元的合同，采购数百万颗亚马逊自研的AI CPU。亚马逊CEO安迪·贾西明确表示，他认为AWS在AI芯片（包括GPU和CPU）领域能够至少做到与英伟达同样出色，甚至可能更胜一筹。

但现在，凭借可单独出售也可与Rubin GPU捆绑销售的Vera CPU，黄仁勋相信他已为英伟达解锁了"一个重大的新增长引擎"，因为Vera是"全球首款专为智能体AI设计的CPU"，他在电话会议上如此表示。

"Vera为英伟达开辟了一个全新的2000亿美元可触及市场，这是我们此前从未涉足的领域，所有主要超大规模数据中心和系统制造商都在与我们合作部署这一产品。世界正在为智能体AI和物理AI机器人重建计算架构，而英伟达正处于这些变革的中心，"这位造势大师说道。

他解释说，虽然AI模型的"思考"部分使用GPU，但智能体主要在CPU上运行。它们利用CPU执行分配的任务，并且他预测，未来智能体将运行自己的、由CPU驱动的个人电脑。

Vera专为智能体设计，因为它专门针对以最快速度处理令牌（token）而优化。这与传统云架构CPU的设计理念不同，后者拥有多个"核心"，旨在尽可能快地运行多个应用实例。

这听起来合乎逻辑，但面对主要云服务提供商和初创公司都在积极开发AI芯片的现状，他凭什么认为英伟达会成为智能体CPU的首选供应商？

因为，黄仁勋表示，英伟达今年已售出价值200亿美元的独立Vera CPU，而这仅仅是个开始。

"全球有十亿用户，是活生生的人类。我的感觉是，未来全球将拥有数十亿个智能体，当然不是现在。我的意思是，我们会逐步发展到那个阶段，但我们将拥有数十亿个智能体，这些智能体都将使用工具。而这些工具就会像个人电脑一样，正如我们如今人类使用个人电脑一样，"他说道。

"我们将需要数量多得多的CPU，"他解释道。

英文来源：

Nvidia founder and CEO Jensen Huang is, perhaps, one of the greatest corporate hype men of all time when it comes to his company. He may even surpass Salesforce’s Marc Benioff when it comes to relentless optimism in his company’s future and revenues.
Even so, he delivers on the hype, quarter after quarter.
Instead of cautioning you to view the proclamation that he’s found a “brand new $200 billion TAM for Nvidia” with skepticism, I’d argue he’s earned a bit of trust.
Huang positioned this massive new market at the feet of Nvidia’s new CPU product, Vera, which was introduced in March. Speaking on Wednesday’s earnings call — after Nvidia posted another record-breaking quarter with $81.6 billion in revenue and forecast $91 billion for the next — Huang pitched Vera as a potentially transformative product. And one that already has promising sales figures.
But no matter how well Nvidia delivers, Wall Street harbors anxiety over what will knock Nvidia from its perch.
Lately, such fears have centered on the CPU. Nvidia is the king of the GPU, whereas historically the CPU markets were owned by companies like Intel and AMD. (Nvidia has made CPUs previously, of course, but that’s not its core business.)
For example, last month Amazon Web Services crowed about a giant contract it signed with Meta for millions of Amazon’s homegrown AI CPUs. Amazon CEO Andy Jassy has been clear that he thinks AWS can do AI chips, both GPUs and CPUs, at least as well, and possibly better than Nvidia.
But now, with the Vera CPU, which is sold alone and bundled with its Rubin GPU, Huang believes he’s unlocked “a major new growth driver” for his company because Vera is, he believes, “the world’s first CPU, purpose-built for agentic AI,” Huang said on the call.
“Vera opens a brand new $200 billion TAM for Nvidia, a market we have never addressed before, and every major hyperscaler and system maker is partnering with us to deploy it. The world is rebuilding computing for agentic AI and robotic physical AI. Nvidia sits at the center of these transitions,” hype man Huang said.
He explained that while the “thinking” part of an AI model uses GPUs, agents mostly run on CPUs. They use CPUs to do their assigned tasks and will, he predicts, run their own form of CPU-driven PCs.
Vera is for agents because it’s specifically designed to process tokens as fast as possible. This is opposed to classic cloud architecture CPUs designed with “cores,” or the ability to run multiple instances of apps as fast as possible.
That sounds logical, but with the major cloud providers as well as startups pursuing AI chip development, what makes him think that Nvidia will be the go-to source for agentic CPUs?
Because, Huang says, Nvidia has already sold $20 billion worth of standalone Vera CPUs this year and we’re only at the beginning.
“The world has a billion users, human users. My sense is that the world is going to have billions of agents, not today. I mean, we’re going to grow into it, but we’ll have billions of agents, and those billions of agents will all use tools. And those tools are going to be like PCs, just like us humans using using PCs today,” he said.
“We’re going to need a lot more CPUs,” he explained.