<p>自動駕駛汽車在更廣泛的人工智能（AI）敍事中代表了一個關鍵章節。與聊天機器人或推薦算法不同，自動駕駛汽車展示了一種更為細緻、複雜的協議交匯——感知處理、智能控制系統和動態邏輯匯聚成一個單一平台。</p>
<p>本質上，自駕車的興起代表了從具有特定且有時有限應用的反應工具轉變為與物理世界集成的全面智能機器人系統。</p>
<p>雖然 <strong>特斯拉</strong> 和 <strong>字母表</strong> 的 Waymo 在自動駕駛技術開發中獲得了大量關注，但我認為 <strong>英偉達</strong>（NVDA 1.75%）是這個領域中最具潛力的公司。</p>
<p>讓我們探討英偉達在自動駕駛領域的低調角色，並詳細説明這對芯片領域的王者來説是多麼巨大的機會。</p>
<h2>英偉達如何融入自動駕駛的方程式？</h2>
<p>英偉達提供多種 AI 基礎設施平台，可在自動駕駛汽車應用中部署。通過其 DGX 平台，軟件開發人員可以訓練神經網絡，以更好地理解各種現實世界的駕駛場景。</p>
<p>從那裏，這些模型可以通過英偉達的 Omniverse 平台進行壓力測試，該平台允許開發人員構建詳細的虛擬環境並創建生動的駕駛相關模擬。這是一項關鍵服務，因為它允許公司在將服務部署到現實世界之前調整和驗證其自動駕駛汽車系統。</p>
<p>英偉達在其自動駕駛汽車生態系統中已經擁有多個戰略合作伙伴，包括 <strong>通用汽車</strong>、<strong>Rivian 汽車</strong>、<strong>豐田</strong>、<strong>比亞迪</strong>、Nuro、<strong>Lucid 集團</strong>、<strong>Polestar</strong> 和 <strong>蔚來汽車</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>圖片來源：Getty Images。</p>
<h2>自動駕駛對英偉達來説是多大的機會？</h2>
<p>關於自動駕駛汽車的總可尋址市場（TAM）的估計差異很大。這是因為自動駕駛汽車有多種不同的使用案例，其中許多在當前的 AI 革命中尚未達到臨界質量。</p>
<p>根據 Markets.us 的報告，全球自動駕駛汽車市場預計到 2032 年將以 41% 的複合年增長率（CAGR）擴張——到下個十年初達到 4.2 萬億美元的規模。</p>
<p>如果這聽起來過於樂觀，考慮到英偉達首席執行官黃仁勳甚至預測了機器人技術與汽車交匯處的數萬億美元機會。</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>圖片來源：英偉達投資者關係。</p>
<p>根據上面的圖表，英偉達的汽車部門與公司的數據中心業務相比仍然相當小，後者的年收入超過 1000 億美元。</p>
<p>在過去一年中，汽車業務的銷售額不足 20 億美元，英偉達甚至沒有佔據自動駕駛汽車市場的 1%。然而，考慮到公司與眾多領先汽車製造商的現有關係，我仍然樂觀地認為，自動駕駛汽車的商業化和更廣泛的採用將為英偉達的業務帶來超越數據中心和芯片的變革性助力。</p>
<h2>英偉達股票值得購買嗎？</h2>
<p>截至本文撰寫時，英偉達的前瞻市盈率（P/E）為 40 倍。一方面，圖表清楚地表明，這遠低於英偉達之前所經歷的水平。但另一方面，以 40 倍的前瞻性收益交易遠非便宜。</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）數據來源於 YCharts</p>
<p>儘管如此，我傾向於認為投資者主要是基於英偉達在 AI 數據中心市場的主導地位來評估其價值。換句話説，我認為大多數投資者在考慮英偉達時並沒有考慮到自動駕駛等長期機會。</p>
<p>在我看來，英偉達主要被視為芯片設計公司，而不是跨越眾多機器學習應用的全棧軟件和硬件生態系統。實際上，英偉達遠比一家半導體公司更為多產和普遍。</p>
<p>雖然自動駕駛汽車尚未成為主流的 AI 應用，但隨着技術的擴展，英偉達在增長方面具有獨特的優勢。此外，考慮到其對自動駕駛汽車系統的中立態度，我認為英偉達的風險低於押注於特斯拉或 Waymo 等單一公司的風險。</p>
<p>基於這些原因，我認為英偉達是一個對長期投資者來説不容錯過的購買機會。</p>

英偉達

2 倍做多英偉達 ETF - GraniteShares

南方兩倍做多英偉達

南方兩倍做空英偉達

英偉達期權收益策略 ETF - YieldMax

1 倍做空英偉達 ETF - Direxion

2 倍做多 NVDA ETF - T-Rex

2 倍做空 NVDA ETF - T-Rex

半導體 3 倍做多 - Direxion

<p>這篇文章討論了英偉達作為自動駕駛市場的領先者，強調了其支持自駕技術發展的人工智能基礎設施平台。憑藉與主要汽車製造商的戰略合作關係以及預計 41% 的年複合增長率，英偉達的汽車部門有望實現顯著擴張。儘管目前銷售額不足 20 億美元，但英偉達獨特的市場地位和多樣化的產品提供使其成為一個引人注目的投資機會，尤其是在自動駕駛市場不斷發展的背景下</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>自動駕駛汽車在更廣泛的人工智能（AI）敍事中代表了一個關鍵章節。與聊天機器人或推薦算法不同，自動駕駛汽車展示了一種更為細緻、複雜的協議交匯——感知處理、智能控制系統和動態邏輯匯聚成一個單一平台。</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>本質上，自駕車的興起代表了從具有特定且有時有限應用的反應工具轉變為與物理世界集成的全面智能機器人系統。</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>雖然 <strong>特斯拉</strong> 和 <strong>字母表</strong> 的 Waymo 在自動駕駛技術開發中獲得了大量關注，但我認為 <strong>英偉達</strong>（NVDA 1.75%）是這個領域中最具潛力的公司。</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>讓我們探討英偉達在自動駕駛領域的低調角色，並詳細説明這對芯片領域的王者來説是多麼巨大的機會。</p>
</div><h2>How does Nvidia fit into the autonomous driving equation?</h2>
<div class="lb-trans"><h2>英偉達如何融入自動駕駛的方程式？</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>英偉達提供多種 AI 基礎設施平台，可在自動駕駛汽車應用中部署。通過其 DGX 平台，軟件開發人員可以訓練神經網絡，以更好地理解各種現實世界的駕駛場景。</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>從那裏，這些模型可以通過英偉達的 Omniverse 平台進行壓力測試，該平台允許開發人員構建詳細的虛擬環境並創建生動的駕駛相關模擬。這是一項關鍵服務，因為它允許公司在將服務部署到現實世界之前調整和驗證其自動駕駛汽車系統。</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>英偉達在其自動駕駛汽車生態系統中已經擁有多個戰略合作伙伴，包括 <strong>通用汽車</strong>、<strong>Rivian 汽車</strong>、<strong>豐田</strong>、<strong>比亞迪</strong>、Nuro、<strong>Lucid 集團</strong>、<strong>Polestar</strong> 和 <strong>蔚來汽車</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>圖片來源：Getty Images。</p>
</div><h2>How big of an opportunity is autonomous driving for Nvidia?</h2>
<div class="lb-trans"><h2>自動駕駛對英偉達來説是多大的機會？</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>關於自動駕駛汽車的總可尋址市場（TAM）的估計差異很大。這是因為自動駕駛汽車有多種不同的使用案例，其中許多在當前的 AI 革命中尚未達到臨界質量。</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>根據 Markets.us 的報告，全球自動駕駛汽車市場預計到 2032 年將以 41% 的複合年增長率（CAGR）擴張——到下個十年初達到 4.2 萬億美元的規模。</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>如果這聽起來過於樂觀，考慮到英偉達首席執行官黃仁勳甚至預測了機器人技術與汽車交匯處的數萬億美元機會。</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>圖片來源：英偉達投資者關係。</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>根據上面的圖表，英偉達的汽車部門與公司的數據中心業務相比仍然相當小，後者的年收入超過 1000 億美元。</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>在過去一年中，汽車業務的銷售額不足 20 億美元，英偉達甚至沒有佔據自動駕駛汽車市場的 1%。然而，考慮到公司與眾多領先汽車製造商的現有關係，我仍然樂觀地認為，自動駕駛汽車的商業化和更廣泛的採用將為英偉達的業務帶來超越數據中心和芯片的變革性助力。</p>
</div><h2>Is Nvidia stock a buy?</h2>
<div class="lb-trans"><h2>英偉達股票值得購買嗎？</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>截至本文撰寫時，英偉達的前瞻市盈率（P/E）為 40 倍。一方面，圖表清楚地表明，這遠低於英偉達之前所經歷的水平。但另一方面，以 40 倍的前瞻性收益交易遠非便宜。</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）數據來源於 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>儘管如此，我傾向於認為投資者主要是基於英偉達在 AI 數據中心市場的主導地位來評估其價值。換句話説，我認為大多數投資者在考慮英偉達時並沒有考慮到自動駕駛等長期機會。</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>在我看來，英偉達主要被視為芯片設計公司，而不是跨越眾多機器學習應用的全棧軟件和硬件生態系統。實際上，英偉達遠比一家半導體公司更為多產和普遍。</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>雖然自動駕駛汽車尚未成為主流的 AI 應用，但隨着技術的擴展，英偉達在增長方面具有獨特的優勢。此外，考慮到其對自動駕駛汽車系統的中立態度，我認為英偉達的風險低於押注於特斯拉或 Waymo 等單一公司的風險。</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>基於這些原因，我認為英偉達是一個對長期投資者來説不容錯過的購買機會。</p>
</div>

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

- 自動駕駛汽車是人工智能領域的重要組成部分，涉及複雜的感知和控制系統。  
- Nvidia 在自動駕駛市場中扮演關鍵角色，提供 AI 基礎設施和戰略合作伙伴關係。  
- 預計到 2032 年，全球自動駕駛市場將達到 4.2 萬億美元，Nvidia 有望受益。

如果我只能選擇購買一隻自動駕駛汽車的股票，那將是這隻（提示：不是特斯拉）