<h2>关键点</h2>
<ul>
<li>这家人工智能公司的技术极具吸引力。</li>
<li>它吸引了一些来自其他人工智能领军企业的大交易。</li>
<li>在投资之前需要考虑许多风险。</li>
<li>这 10 只股票可能会造就下一波百万富翁 ›</li>
</ul>
<p>2026 年将会有相当多的重磅首次公开募股（IPO）。OpenAI 和 Anthropic 预计将在今年公开上市，但另一家知名的人工智能（AI）公司可能会更早上市。</p>
<p>Cerebras 本月早些时候向证券交易委员会（SEC）提交了 S-1 注册声明，暗示其 IPO 可能即将到来。它还向投资者展示了其最近的财务结果，这家芯片制造商有很多值得关注的地方，旨在与 <strong>Nvidia</strong>（纳斯达克：NVDA）争夺人工智能计算的主导地位。不过，考虑到其近期的估值和潜在的 IPO 价格，业务中存在显著的风险和不确定性，投资者不能忽视。</p>
<p><em><strong>人工智能会创造出世界上第一个万亿富翁吗？</strong> 我们的团队刚刚发布了一份关于一家鲜为人知的公司报告，该公司被称为 “不可或缺的垄断”，提供 Nvidia 和 Intel 都需要的关键技术。<strong>继续 »</strong></em></p>
<p>以下是投资者在 Cerebras IPO 之前需要了解的事项。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-dXJsPWh0dHBzOi8vZy5mb29sY2RuLmNvbS9lZGl0b3JpYWwvaW1hZ2VzLzg2NzE1OC9nZXR0eWltYWdlcy1haS1hcnRpZmljaWFsLWludGVsbGlnZW5jZS1jaGlwLXNlbWljb25kdWN0b3ItY2lyY3VpdC5qcGVnFnc9NzAw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-dXJsPWh0dHBzOi8vZy5mb29sY2RuLmNvbS9lZGl0b3JpYWwvaW1hZ2VzLzg2NzE1OC9nZXR0eWltYWdlcy1haS1hcnRpZmljaWFsLWludGVsbGlnZW5jZS1jaGlwLXNlbWljb25kdWN0b3ItY2lyY3VpdC5qcGVnFnc9NzAw"/></p>
<p>图片来源：Getty Images。</p>
<h2>解锁更快的人工智能</h2>
<p>Cerebras 制造的 AI 芯片与市场上其他芯片截然不同。其晶圆级引擎架构使用整个硅晶圆，导致芯片的尺寸几乎是 Nvidia Blackwell B200 封装的 30 倍，每个芯片的晶体管数量是其 19 倍，依据该公司的 S-1 文件。</p>
<p>晶圆级芯片的优势在于它们可以以更低的功耗和更少的网络设备快速移动数据。当你有成千上万的图形处理单元（GPU）相互共享数据时，时间和成本会迅速增加。Cerebras 的芯片通过在单一硅片上放置更多的计算核心和内存，直接在芯片制造过程中将它们连接在一起，从而消除了芯片之间数据传输的大部分开销，而不是依赖外部网络或封装。</p>
<p>节省的成本可能是可观的，但在推理模型时代，节省的时间可能更为重要。随着推理模型迭代调用大型语言模型以细化答案，响应所需的时间可能会显著增加。Cerebras 表示，其晶圆级芯片在推理方面比领先的基于 GPU 的解决方案快多达 15 倍。</p>
<p>这项技术非常吸引人。实际上，OpenAI 与这家芯片制造商签署了一项价值 200 亿美元的协议，在 2026 年至 2028 年间购买 750 兆瓦的 AI 推理能力，并有可能在 2030 年底之前增加额外的 1.25 吉瓦的能力。此外，<strong>亚马逊</strong> 签署了一项协议，将其 CS-3 系统引入亚马逊网络服务（AWS），与其定制的 Trainium3 芯片集成进行推理。</p>
<p>凭借这两项交易，Cerebras 的资产负债表显示出 246 亿美元的剩余履约义务，这对于去年仅产生 5.1 亿美元收入的公司来说是绝对巨大的。但剩余履约义务并不是收入，投资之前需要考虑许多风险。</p>
<h2>公司面临的重大挑战和风险</h2>
<p>Cerebras 需要克服一些挑战，才能完全实现其订单积压。</p>
<p>Cerebras 必须大幅扩展其数据中心基础设施运营，以服务 OpenAI。它从未承担过如此规模的任务，这带来了重大的运营挑战。</p>
<p>更重要的是，它需要扩大生产，并完全依赖于 <strong>台积电</strong>（NYSE：TSM）来生产其晶圆级芯片。没有其他代工厂能够生产它们。同时，台积电正专注于将其用于 Cerebras 芯片的 5nm 工艺改造为其 3nm 工艺，该工艺被包括 Nvidia 在内的最大客户用于高端 AI 加速器。再加上晶圆级芯片的良率可能显著低于小型芯片（因为一个错误可能会毁掉整个晶圆），扩大生产可能会证明成本高昂且具有挑战性。</p>
<p>如果 Cerebras 未能按时交付产能或其硬件表现不佳，可能会导致 OpenAI 的承诺显著减少。这指向另一个关键风险：几乎所有的订单积压都与 OpenAI 的交易相关。降低这一风险的唯一方法是向潜在客户证明它能够成功扩大生产和数据中心运营。</p>
<p>当然，这类风险对于一家年轻公司首次公开上市并不罕见。然而，这些风险似乎并未反映在估值中。该公司据报道目标估值为 350 亿美元，尽管在 S-1 文件中未正式给出价格。这使其市盈率达到 70 倍的历史销售额，这对于该业务来说是一个巨大的溢价。虽然随着其履行 OpenAI 合同，预计将实现显著的收入增长，但这仍然是一个溢价估值。作为参考，Nvidia 的市盈率为 23 倍历史销售额和 13 倍 2026 年收入预期。尽管其增长速度不如 Cerebras 快，但在数据中心的主导地位相对稳固。</p>
<p>因此，尽管我喜欢 Cerebras 开发的技术，但价格和执行风险将使我无法参与其 IPO。不过，值得关注该公司如何执行，以及股票的风险/回报特征是否变得更具吸引力。</p>
<h2>现在投资 1000 美元的地方</h2>
<p>当我们的分析师团队有股票推荐时，倾听是值得的。毕竟，_Stock Advisor_的总平均回报率为 983%* — 相较于标普 500 的 200% 表现，超出市场表现。</p>
<p>他们刚刚揭示了他们认为目前投资者可以购买的 <strong>10 只最佳股票</strong>，<strong>加入_Stock Advisor_后可获得。</strong></p>
<p><strong>查看股票 »</strong></p>
<p><em>*Stock Advisor 截至 2026 年 4 月 27 日的回报。</em></p>
<p><em>Adam Levy 持有亚马逊和台湾半导体制造公司的股份。Motley Fool 持有并推荐亚马逊、英伟达和台湾半导体制造公司的股份。Motley Fool 有披露政策。</em></p>
<p>此处表达的观点和意见仅代表作者的观点和意见，并不一定反映纳斯达克公司的观点。</p>

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<p>Cerebras，一家人工智能芯片制造商，计划在 2026 年推出首次公开募股（IPO），可能会在 OpenAI 和 Anthropic 之前上市。该公司已获得重大交易，包括与 OpenAI 达成的 200 亿美元协议。然而，它面临着巨大的风险，包括生产规模化和对台积电的依赖。该公司的目标估值为 350 亿美元，按其过去销售额的 70 倍定价，这引发了人们对其在运营挑战下估值的担忧</p>

<h2>Key Points</h2>
<div class="lb-trans"><h2>关键点</h2>
</div><ul>
<li>This AI company's technology is extremely compelling.</li>
<li>It's attracted some big deals from other AI leaders.</li>
<li>There are many risks to consider before investing.</li>
<li>These 10 stocks could mint the next wave of millionaires ›</li>
</ul>
<div class="lb-trans"><ul>
<li>这家人工智能公司的技术极具吸引力。</li>
<li>它吸引了一些来自其他人工智能领军企业的大交易。</li>
<li>在投资之前需要考虑许多风险。</li>
<li>这 10 只股票可能会造就下一波百万富翁 ›</li>
</ul>
</div><p>2026 is set to see quite a few blockbuster initial public offerings (IPOs). Both OpenAI and Anthropic are expected to make their public debuts this year, but another notable artificial intelligence (AI) company may beat them to the punch.</p>
<div class="lb-trans"><p>2026 年将会有相当多的重磅首次公开募股（IPO）。OpenAI 和 Anthropic 预计将在今年公开上市，但另一家知名的人工智能（AI）公司可能会更早上市。</p>
</div><p>Cerebras filed its S-1 registration statement with the Securities and Exchange Commission (SEC) earlier this month, suggesting its IPO could be imminent. It also gave investors a glimpse of its recent financial results, and there's a lot to like about the chipmaker, which aims to rival <strong>Nvidia</strong>(NASDAQ: NVDA) for AI compute dominance. That said, there's significant risk and uncertainty in the business that investors can't ignore, especially given its recent valuation and potential IPO price.</p>
<div class="lb-trans"><p>Cerebras 本月早些时候向证券交易委员会（SEC）提交了 S-1 注册声明，暗示其 IPO 可能即将到来。它还向投资者展示了其最近的财务结果，这家芯片制造商有很多值得关注的地方，旨在与 <strong>Nvidia</strong>（纳斯达克：NVDA）争夺人工智能计算的主导地位。不过，考虑到其近期的估值和潜在的 IPO 价格，业务中存在显著的风险和不确定性，投资者不能忽视。</p>
</div><p><em><strong>Will AI create the world's first trillionaire?</strong> Our team just released a report on the one little-known company, called an &#34;Indispensable Monopoly&#34; providing the critical technology Nvidia and Intel both need. <strong>Continue »</strong></em></p>
<div class="lb-trans"><p><em><strong>人工智能会创造出世界上第一个万亿富翁吗？</strong> 我们的团队刚刚发布了一份关于一家鲜为人知的公司报告，该公司被称为 “不可或缺的垄断”，提供 Nvidia 和 Intel 都需要的关键技术。<strong>继续 »</strong></em></p>
</div><p>Here's what investors should know before the Cerebras IPO.</p>
<div class="lb-trans"><p>以下是投资者在 Cerebras IPO 之前需要了解的事项。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-dXJsPWh0dHBzOi8vZy5mb29sY2RuLmNvbS9lZGl0b3JpYWwvaW1hZ2VzLzg2NzE1OC9nZXR0eWltYWdlcy1haS1hcnRpZmljaWFsLWludGVsbGlnZW5jZS1jaGlwLXNlbWljb25kdWN0b3ItY2lyY3VpdC5qcGVnJnc9NzAw" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F867158%2Fgettyimages-ai-artificial-intelligence-chip-semiconductor-circuit.jpeg&amp;w=700"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>图片来源：Getty Images。</p>
</div><h2>Unlocking faster artificial intelligence</h2>
<div class="lb-trans"><h2>解锁更快的人工智能</h2>
</div><p>Cerebras makes AI chips unlike any others in the market. Its wafer-scale engine architecture uses an entire silicon wafer, resulting in chips nearly 30 times the size of Nvidia's Blackwell B200 package, stuffing 19 times as many transistors per chip, according to the company's S-1 filing.</p>
<div class="lb-trans"><p>Cerebras 制造的 AI 芯片与市场上其他芯片截然不同。其晶圆级引擎架构使用整个硅晶圆，导致芯片的尺寸几乎是 Nvidia Blackwell B200 封装的 30 倍，每个芯片的晶体管数量是其 19 倍，依据该公司的 S-1 文件。</p>
</div><p>The advantage of wafer-scale chips is that they can move data quickly with lower power requirements and fewer networking devices. And when you have clusters of thousands of graphics processing units (GPUs) all sharing data with each other, the time and costs can add up. Cerbras' chips eliminate much of the overhead of data transfer between chips by placing more compute cores and memory on a single piece of silicon, connecting them directly to one another during chip fabrication rather than relying on external networking or packaging.</p>
<div class="lb-trans"><p>晶圆级芯片的优势在于它们可以以更低的功耗和更少的网络设备快速移动数据。当你有成千上万的图形处理单元（GPU）相互共享数据时，时间和成本会迅速增加。Cerebras 的芯片通过在单一硅片上放置更多的计算核心和内存，直接在芯片制造过程中将它们连接在一起，从而消除了芯片之间数据传输的大部分开销，而不是依赖外部网络或封装。</p>
</div><p>The savings can be substantial, but the time saved may be even more important in the age of reasoning models. With reasoning models that iteratively call a large language model to refine answers, the time it takes for a response can grow significantly. Cerebras says its wafer-scale chips are up to 15 times faster than the leading GPU-based solutions when it comes to inference.</p>
<div class="lb-trans"><p>节省的成本可能是可观的，但在推理模型时代，节省的时间可能更为重要。随着推理模型迭代调用大型语言模型以细化答案，响应所需的时间可能会显著增加。Cerebras 表示，其晶圆级芯片在推理方面比领先的基于 GPU 的解决方案快多达 15 倍。</p>
</div><p>The technology is compelling. So much so, in fact, that OpenAI signed a $20 billion deal with the chipmaker to purchase 750 megawatts worth of AI inference capacity between 2026 and 2028, with the potential to add an additional 1.25 gigawatts of capacity by the end of 2030. Additionally, <strong>Amazon</strong> signed a deal to bring its CS-3 system to Amazon Web Services (AWS) for inference integrated with its custom Trainium3 chips.</p>
<div class="lb-trans"><p>这项技术非常吸引人。实际上，OpenAI 与这家芯片制造商签署了一项价值 200 亿美元的协议，在 2026 年至 2028 年间购买 750 兆瓦的 AI 推理能力，并有可能在 2030 年底之前增加额外的 1.25 吉瓦的能力。此外，<strong>亚马逊</strong> 签署了一项协议，将其 CS-3 系统引入亚马逊网络服务（AWS），与其定制的 Trainium3 芯片集成进行推理。</p>
</div><p>With those two deals, Cerebras' balance sheet shows $24.6 billion in remaining performance obligations, which is absolutely massive for a company that generated just $510 million in revenue last year. But remaining performance obligations are not revenue, and there are a lot of risks to consider before investing.</p>
<div class="lb-trans"><p>凭借这两项交易，Cerebras 的资产负债表显示出 246 亿美元的剩余履约义务，这对于去年仅产生 5.1 亿美元收入的公司来说是绝对巨大的。但剩余履约义务并不是收入，投资之前需要考虑许多风险。</p>
</div><h2>The big challenges and risks facing the company</h2>
<div class="lb-trans"><h2>公司面临的重大挑战和风险</h2>
</div><p>There are a handful of challenges Cerebras will have to overcome before it can fully realize its backlog of orders.</p>
<div class="lb-trans"><p>Cerebras 需要克服一些挑战，才能完全实现其订单积压。</p>
</div><p>Cerebras will have to dramatically scale its data center infrastructure operations to service OpenAI. It's never taken on anything of this scale before, and it presents a significant operational challenge.</p>
<div class="lb-trans"><p>Cerebras 必须大幅扩展其数据中心基础设施运营，以服务 OpenAI。它从未承担过如此规模的任务，这带来了重大的运营挑战。</p>
</div><p>What's more, it'll need to scale production, and it's entirely reliant on <strong>Taiwan Semiconductor Manufacturing</strong>(NYSE: TSM) for its wafer-scale chips. No other foundry is capable of producing them. Meanwhile, TSMC is focused on retrofitting the 5nm process it uses for Cerbras' chips to its 3nm process, which is used by its biggest customers, including Nvidia, for high-end AI accelerators. Combined with the fact that yields on wafer-scale chips can be significantly lower than smaller chips (because a single mistake can ruin the entire wafer), and scaling its production could prove costly and challenging.</p>
<div class="lb-trans"><p>更重要的是，它需要扩大生产，并完全依赖于 <strong>台积电</strong>（NYSE：TSM）来生产其晶圆级芯片。没有其他代工厂能够生产它们。同时，台积电正专注于将其用于 Cerebras 芯片的 5nm 工艺改造为其 3nm 工艺，该工艺被包括 Nvidia 在内的最大客户用于高端 AI 加速器。再加上晶圆级芯片的良率可能显著低于小型芯片（因为一个错误可能会毁掉整个晶圆），扩大生产可能会证明成本高昂且具有挑战性。</p>
</div><p>If Cerebras fails to deliver capacity on time or its hardware underperforms, it could result in a significant reduction in OpenAI's commitment. And that points to another key risk: Practically all of its backlog is tied to the OpenAI deal. The only way to mitigate that risk is to prove to potential customers that it can successfully scale its production and data center operations.</p>
<div class="lb-trans"><p>如果 Cerebras 未能按时交付产能或其硬件表现不佳，可能会导致 OpenAI 的承诺显著减少。这指向另一个关键风险：几乎所有的订单积压都与 OpenAI 的交易相关。降低这一风险的唯一方法是向潜在客户证明它能够成功扩大生产和数据中心运营。</p>
</div><p>Granted, those kinds of risks aren't uncommon for a young company making its public debut. However, they don't appear to be priced into the valuation. The company is reportedly targeting a $35 billion valuation, although it refrained from putting an official price in the S-1 filing. That puts it at 70 times trailing sales, which is a huge premium to pay for the business. While it's set for significant revenue growth as it delivers on the OpenAI contract, it's still a premium valuation. For reference, Nvidia trades for 23 times trailing sales and 13 times 2026 revenue expectations. And while it's not growing as quickly, its dominant position in data centers is fairly secure.</p>
<div class="lb-trans"><p>当然，这类风险对于一家年轻公司首次公开上市并不罕见。然而，这些风险似乎并未反映在估值中。该公司据报道目标估值为 350 亿美元，尽管在 S-1 文件中未正式给出价格。这使其市盈率达到 70 倍的历史销售额，这对于该业务来说是一个巨大的溢价。虽然随着其履行 OpenAI 合同，预计将实现显著的收入增长，但这仍然是一个溢价估值。作为参考，Nvidia 的市盈率为 23 倍历史销售额和 13 倍 2026 年收入预期。尽管其增长速度不如 Cerebras 快，但在数据中心的主导地位相对稳固。</p>
</div><p>So, while I like the technology Cerebras has developed, the price and execution risk will keep me from buying into the IPO. That said, it'll be worth keeping an eye on the company to see how well it executes and whether the stock's risk/return profile becomes more appealing.</p>
<div class="lb-trans"><p>因此，尽管我喜欢 Cerebras 开发的技术，但价格和执行风险将使我无法参与其 IPO。不过，值得关注该公司如何执行，以及股票的风险/回报特征是否变得更具吸引力。</p>
</div><h2>Where to invest $1,000 right now</h2>
<div class="lb-trans"><h2>现在投资 1000 美元的地方</h2>
</div><p>When our analyst team has a stock tip, it can pay to listen. After all, <em>Stock Advisor’s</em> total average return is 983%* — a market-crushing outperformance compared to 200% for the S&amp;P 500.</p>
<div class="lb-trans"><p>当我们的分析师团队有股票推荐时，倾听是值得的。毕竟，_Stock Advisor_的总平均回报率为 983%* — 相较于标普 500 的 200% 表现，超出市场表现。</p>
</div><p>They just revealed what they believe are the <strong>10 best stocks</strong> for investors to buy right now, <strong>available when you join_Stock Advisor._</strong></p>
<div class="lb-trans"><p>他们刚刚揭示了他们认为目前投资者可以购买的 <strong>10 只最佳股票</strong>，<strong>加入_Stock Advisor_后可获得。</strong></p>
</div><p><strong>See the stocks »</strong></p>
<div class="lb-trans"><p><strong>查看股票 »</strong></p>
</div><p><em>*Stock Advisor returns as of April 27, 2026.</em></p>
<div class="lb-trans"><p><em>*Stock Advisor 截至 2026 年 4 月 27 日的回报。</em></p>
</div><p><em>Adam Levy has positions in Amazon and Taiwan Semiconductor Manufacturing. The Motley Fool has positions in and recommends Amazon, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool has a disclosure policy.</em></p>
<div class="lb-trans"><p><em>Adam Levy 持有亚马逊和台湾半导体制造公司的股份。Motley Fool 持有并推荐亚马逊、英伟达和台湾半导体制造公司的股份。Motley Fool 有披露政策。</em></p>
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The First Blockbuster Artificial Intelligence IPO of 2026 Is Almost Here. Here's Why I'm Staying Away.

nasdaq

英伟达

英特尔

亚马逊

台积电

NVIDIA Corporation

2026 年首个重磅人工智能 IPO 即将来临。这就是我选择避开的原因