<p>自动驾驶汽车在更广泛的人工智能（AI）叙事中代表了一个关键章节。与聊天机器人或推荐算法不同，自动驾驶汽车展示了一种更为细致、复杂的协议交汇——感知处理、智能控制系统和动态逻辑汇聚成一个单一平台。</p>
<p>本质上，自驾车的兴起代表了从具有特定且有时有限应用的反应工具转变为与物理世界集成的全面智能机器人系统。</p>
<p>虽然 <strong>特斯拉</strong> 和 <strong>字母表</strong> 的 Waymo 在自动驾驶技术开发中获得了大量关注，但我认为 <strong>英伟达</strong>（NVDA 1.75%）是这个领域中最具潜力的公司。</p>
<p>让我们探讨英伟达在自动驾驶领域的低调角色，并详细说明这对芯片领域的王者来说是多么巨大的机会。</p>
<h2>英伟达如何融入自动驾驶的方程式？</h2>
<p>英伟达提供多种 AI 基础设施平台，可在自动驾驶汽车应用中部署。通过其 DGX 平台，软件开发人员可以训练神经网络，以更好地理解各种现实世界的驾驶场景。</p>
<p>从那里，这些模型可以通过英伟达的 Omniverse 平台进行压力测试，该平台允许开发人员构建详细的虚拟环境并创建生动的驾驶相关模拟。这是一项关键服务，因为它允许公司在将服务部署到现实世界之前调整和验证其自动驾驶汽车系统。</p>
<p>英伟达在其自动驾驶汽车生态系统中已经拥有多个战略合作伙伴，包括 <strong>通用汽车</strong>、<strong>Rivian 汽车</strong>、<strong>丰田</strong>、<strong>比亚迪</strong>、Nuro、<strong>Lucid 集团</strong>、<strong>Polestar</strong> 和 <strong>蔚来汽车</strong>。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvZ2V0dHlpbWFnZXMtNjk2ODY4MzY2LTQuanBnJnc9NzAw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="700" height="504" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvZ2V0dHlpbWFnZXMtNjk2ODY4MzY2LTQuanBnJnc9NzAw"/></p>
<p>图片来源：Getty Images。</p>
<h2>自动驾驶对英伟达来说是多大的机会？</h2>
<p>关于自动驾驶汽车的总可寻址市场（TAM）的估计差异很大。这是因为自动驾驶汽车有多种不同的使用案例，其中许多在当前的 AI 革命中尚未达到临界质量。</p>
<p>根据 Markets.us 的报告，全球自动驾驶汽车市场预计到 2032 年将以 41% 的复合年增长率（CAGR）扩张——到下个十年初达到 4.2 万亿美元的规模。</p>
<p>如果这听起来过于乐观，考虑到英伟达首席执行官黄仁勋甚至预测了机器人技术与汽车交汇处的数万亿美元机会。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvbnZpZGlhLWF1dG9tb3RpdmUtYnVzaW5lc3MuanBnJnc9NzAw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="700" height="361" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvbnZpZGlhLWF1dG9tb3RpdmUtYnVzaW5lc3MuanBnJnc9NzAw"/></p>
<p>图片来源：英伟达投资者关系。</p>
<p>根据上面的图表，英伟达的汽车部门与公司的数据中心业务相比仍然相当小，后者的年收入超过 1000 亿美元。</p>
<p>在过去一年中，汽车业务的销售额不足 20 亿美元，英伟达甚至没有占据自动驾驶汽车市场的 1%。然而，考虑到公司与众多领先汽车制造商的现有关系，我仍然乐观地认为，自动驾驶汽车的商业化和更广泛的采用将为英伟达的业务带来超越数据中心和芯片的变革性助力。</p>
<h2>英伟达股票值得购买吗？</h2>
<p>截至本文撰写时，英伟达的前瞻市盈率（P/E）为 40 倍。一方面，图表清楚地表明，这远低于英伟达之前所经历的水平。但另一方面，以 40 倍的前瞻性收益交易远非便宜。</p>
<p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/34f64e441082ea9e1bbc9fadbd105510.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="720" height="441" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/34f64e441082ea9e1bbc9fadbd105510.png"/></p>
<p>NVDA 市盈率（前瞻）数据来源于 YCharts</p>
<p>尽管如此，我倾向于认为投资者主要是基于英伟达在 AI 数据中心市场的主导地位来评估其价值。换句话说，我认为大多数投资者在考虑英伟达时并没有考虑到自动驾驶等长期机会。</p>
<p>在我看来，英伟达主要被视为芯片设计公司，而不是跨越众多机器学习应用的全栈软件和硬件生态系统。实际上，英伟达远比一家半导体公司更为多产和普遍。</p>
<p>虽然自动驾驶汽车尚未成为主流的 AI 应用，但随着技术的扩展，英伟达在增长方面具有独特的优势。此外，考虑到其对自动驾驶汽车系统的中立态度，我认为英伟达的风险低于押注于特斯拉或 Waymo 等单一公司的风险。</p>
<p>基于这些原因，我认为英伟达是一个对长期投资者来说不容错过的购买机会。</p>

英伟达

2 倍做多英伟达 ETF - GraniteShares

南方两倍做多英伟达

南方两倍做空英伟达

英伟达期权收益策略 ETF - YieldMax

1 倍做空英伟达 ETF - Direxion

2 倍做多 NVDA ETF - T-Rex

2 倍做空 NVDA ETF - T-Rex

半导体 3 倍做多 - Direxion

<p>这篇文章讨论了英伟达作为自动驾驶市场的领先者，强调了其支持自驾技术发展的人工智能基础设施平台。凭借与主要汽车制造商的战略合作关系以及预计 41% 的年复合增长率，英伟达的汽车部门有望实现显著扩张。尽管目前销售额不足 20 亿美元，但英伟达独特的市场地位和多样化的产品提供使其成为一个引人注目的投资机会，尤其是在自动驾驶市场不断发展的背景下</p>

<p>Autonomous vehicles represent a critical chapter in the broader artificial intelligence (AI) narrative. Unlike chatbots or recommendation algorithms, autonomous vehicles portray a confluence of more nuanced, sophisticated protocols -- sensory processing, smart control systems, and dynamic logic converging into a single platform.</p>
<div class="lb-trans"><p>自动驾驶汽车在更广泛的人工智能（AI）叙事中代表了一个关键章节。与聊天机器人或推荐算法不同，自动驾驶汽车展示了一种更为细致、复杂的协议交汇——感知处理、智能控制系统和动态逻辑汇聚成一个单一平台。</p>
</div><p>In essence, the rise of self-driving vehicles represents a shift from reactive tools with specific -- and sometimes limited -- applications to full-blown intelligent robotics systems integrated with the physical world.</p>
<div class="lb-trans"><p>本质上，自驾车的兴起代表了从具有特定且有时有限应用的反应工具转变为与物理世界集成的全面智能机器人系统。</p>
</div><p>While <strong>Tesla</strong> and <strong>Alphabet</strong>'s Waymo receive much of the attention in autonomous vehicle technology development, I see <strong>Nvidia</strong>(NVDA 1.75%) as the company with the most upside in this space.</p>
<div class="lb-trans"><p>虽然 <strong>特斯拉</strong> 和 <strong>字母表</strong> 的 Waymo 在自动驾驶技术开发中获得了大量关注，但我认为 <strong>英伟达</strong>（NVDA 1.75%）是这个领域中最具潜力的公司。</p>
</div><p>Let's explore how Nvidia is quietly playing a role in the autonomous driving landscape, and detail just how big of an opportunity this is for the king of the chip realm.</p>
<div class="lb-trans"><p>让我们探讨英伟达在自动驾驶领域的低调角色，并详细说明这对芯片领域的王者来说是多么巨大的机会。</p>
</div><h2>How does Nvidia fit into the autonomous driving equation?</h2>
<div class="lb-trans"><h2>英伟达如何融入自动驾驶的方程式？</h2>
</div><p>Nvidia offers a variety of AI infrastructure platforms that can be deployed across autonomous vehicle applications. Through its DGX platform, software developers can train neural networks to better understand a variety of real-world driving scenarios.</p>
<div class="lb-trans"><p>英伟达提供多种 AI 基础设施平台，可在自动驾驶汽车应用中部署。通过其 DGX 平台，软件开发人员可以训练神经网络，以更好地理解各种现实世界的驾驶场景。</p>
</div><p>From there, these models can be stress tested through Nvidia's Omniverse platform, which allows developers to build detailed virtual environments and create vivid driving-related simulations. This is a critical service, as it allows companies to tweak and validate their autonomous vehicle systems prior to deploying services in the real world.</p>
<div class="lb-trans"><p>从那里，这些模型可以通过英伟达的 Omniverse 平台进行压力测试，该平台允许开发人员构建详细的虚拟环境并创建生动的驾驶相关模拟。这是一项关键服务，因为它允许公司在将服务部署到现实世界之前调整和验证其自动驾驶汽车系统。</p>
</div><p>Nvidia already has a number of strategic partnerships in its autonomous vehicle ecosystem, including <strong>General Motors</strong>, <strong>Rivian Automotive</strong>, <strong>Toyota</strong>, <strong>BYD</strong>, Nuro, <strong>Lucid Group</strong>, <strong>Polestar</strong>, and <strong>Nio</strong>.</p>
<div class="lb-trans"><p>英伟达在其自动驾驶汽车生态系统中已经拥有多个战略合作伙伴，包括 <strong>通用汽车</strong>、<strong>Rivian 汽车</strong>、<strong>丰田</strong>、<strong>比亚迪</strong>、Nuro、<strong>Lucid 集团</strong>、<strong>Polestar</strong> 和 <strong>蔚来汽车</strong>。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvZ2V0dHlpbWFnZXMtNjk2ODY4MzY2LTQuanBnJnc9NzAw" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F825858%2Fgettyimages-696868366-4.jpg&amp;op=resize&amp;w=700"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>图片来源：Getty Images。</p>
</div><h2>How big of an opportunity is autonomous driving for Nvidia?</h2>
<div class="lb-trans"><h2>自动驾驶对英伟达来说是多大的机会？</h2>
</div><p>Estimates surrounding the total addressable market (TAM) for autonomous vehicles vary greatly. This is due to the fact that autonomous vehicles have a variety of different use cases, many of which are yet to reach a critical mass at this point in the AI revolution.</p>
<div class="lb-trans"><p>关于自动驾驶汽车的总可寻址市场（TAM）的估计差异很大。这是因为自动驾驶汽车有多种不同的使用案例，其中许多在当前的 AI 革命中尚未达到临界质量。</p>
</div><p>According to Markets.us, the global autonomous vehicle market is expected to expand at a compound annual growth rate (CAGR) of 41% through 2032 -- reaching a size of $4.2 trillion by early next decade.</p>
<div class="lb-trans"><p>根据 Markets.us 的报告，全球自动驾驶汽车市场预计到 2032 年将以 41% 的复合年增长率（CAGR）扩张——到下个十年初达到 4.2 万亿美元的规模。</p>
</div><p>If that sounds overzealous, consider that Nvidia CEO Jensen Huang has even projected a multitrillion-dollar opportunity at the intersection of robotics and automobiles.</p>
<div class="lb-trans"><p>如果这听起来过于乐观，考虑到英伟达首席执行官黄仁勋甚至预测了机器人技术与汽车交汇处的数万亿美元机会。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjU4NTgvbnZpZGlhLWF1dG9tb3RpdmUtYnVzaW5lc3MuanBnJnc9NzAw" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F825858%2Fnvidia-automotive-business.jpg&amp;op=resize&amp;w=700"/></p>
<p>Image source: Nvidia Investor Relations.</p>
<div class="lb-trans"><p>图片来源：英伟达投资者关系。</p>
</div><p>Per the chart above, Nvidia's automotive segment is still quite small compared to the company's data center business, which generates well in excess of $100 billion in annual revenue.</p>
<div class="lb-trans"><p>根据上面的图表，英伟达的汽车部门与公司的数据中心业务相比仍然相当小，后者的年收入超过 1000 亿美元。</p>
</div><p>With the automotive business generating less than $2 billion in sales over the last year, Nvidia hasn't even captured 1% of the autonomous vehicle market. And yet, given the company's existing relationships with so many leading automobile manufacturers, I remain optimistic that the commercialization and wider adoption of autonomous vehicles will represent a transformative tailwind for Nvidia's business beyond data centers and chips.</p>
<div class="lb-trans"><p>在过去一年中，汽车业务的销售额不足 20 亿美元，英伟达甚至没有占据自动驾驶汽车市场的 1%。然而，考虑到公司与众多领先汽车制造商的现有关系，我仍然乐观地认为，自动驾驶汽车的商业化和更广泛的采用将为英伟达的业务带来超越数据中心和芯片的变革性助力。</p>
</div><h2>Is Nvidia stock a buy?</h2>
<div class="lb-trans"><h2>英伟达股票值得购买吗？</h2>
</div><p>As of this writing, Nvidia trades for a forward price-to-earnings (P/E) multiple of 40. On the one hand, the chart clearly illustrates that this is well below the levels that Nvidia has previously witnessed. But on the other hand, trading at 40 times forward earnings is far from cheap.</p>
<div class="lb-trans"><p>截至本文撰写时，英伟达的前瞻市盈率（P/E）为 40 倍。一方面，图表清楚地表明，这远低于英伟达之前所经历的水平。但另一方面，以 40 倍的前瞻性收益交易远非便宜。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/34f64e441082ea9e1bbc9fadbd105510.png" alt="" original-src="https://media.ycharts.com/charts/34f64e441082ea9e1bbc9fadbd105510.png"/></p>
<p>NVDA PE Ratio (Forward) data by YCharts</p>
<div class="lb-trans"><p>NVDA 市盈率（前瞻）数据来源于 YCharts</p>
</div><p>Nevertheless, I tend to think that investors are largely valuing Nvidia based on its dominance in the AI data center market. In other words, I think that most investors are not accounting for long-term opportunities such as autonomous driving when it comes to Nvidia.</p>
<div class="lb-trans"><p>尽管如此，我倾向于认为投资者主要是基于英伟达在 AI 数据中心市场的主导地位来评估其价值。换句话说，我认为大多数投资者在考虑英伟达时并没有考虑到自动驾驶等长期机会。</p>
</div><p>In my eyes, Nvidia is largely viewed as a chip designer and less as a full-stack software and hardware ecosystem spanning across myriad machine learning applications. In reality, Nvidia is far more prolific and ubiquitous than a semiconductor business.</p>
<div class="lb-trans"><p>在我看来，英伟达主要被视为芯片设计公司，而不是跨越众多机器学习应用的全栈软件和硬件生态系统。实际上，英伟达远比一家半导体公司更为多产和普遍。</p>
</div><p>While autonomous vehicles are not yet a mainstream AI application, Nvidia is uniquely positioned for growth as the technology scales. Moreover, given its agnostic approach to autonomous vehicle systems, I see Nvidia as less risky than betting on one horse, such as Tesla or Waymo, to win the race.</p>
<div class="lb-trans"><p>虽然自动驾驶汽车尚未成为主流的 AI 应用，但随着技术的扩展，英伟达在增长方面具有独特的优势。此外，考虑到其对自动驾驶汽车系统的中立态度，我认为英伟达的风险低于押注于特斯拉或 Waymo 等单一公司的风险。</p>
</div><p>For these reasons, I think Nvidia is a no-brainer buying opportunity for investors with a long-term time horizon.</p>
<div class="lb-trans"><p>基于这些原因，我认为英伟达是一个对长期投资者来说不容错过的购买机会。</p>
</div>

If I Could Only Buy 1 Autonomous Vehicle Stock, This Would Be It (Hint: It's Not Tesla)

- 自动驾驶汽车是人工智能领域的重要组成部分，涉及复杂的感知和控制系统。  
- Nvidia 在自动驾驶市场中扮演关键角色，提供 AI 基础设施和战略合作伙伴关系。  
- 预计到 2032 年，全球自动驾驶市场将达到 4.2 万亿美元，Nvidia 有望受益。

如果我只能选择购买一只自动驾驶汽车的股票，那将是这只（提示：不是特斯拉）