<p><strong>英偉達</strong>（NVDA 0.56%）在過去幾年中建立了一個人工智能（AI）芯片帝國。最初以為視頻遊戲市場提供芯片而聞名，英偉達轉向專注於人工智能，這已成為其關鍵業務。這被證明是一個明智的舉動，因為它為公司帶來了巨大的收入增長——例如，過去十年年收入增長了 2500%。</p>
<p>這家科技公司在其他公司之前進入市場，確保了其領導地位，而其持續的創新也保持了這一地位。然而，一些投資者擔心英偉達在未來幾年將面臨來自其他芯片設計師以及自身客户的競爭——一些客户，如 <strong>亞馬遜</strong>，已經開發了自己的芯片，並與其他芯片公司的產品一起使用和銷售。</p>
<p>你應該擔心英偉達在人工智能市場的領導地位嗎？英偉達首席執行官黃仁勳的以下 21 個字給出了一個非常明確的答案。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84NDU2MDAvZ2V0dHlpbWFnZXMtMTIwMzA0NDE1Ni5qcGcmdz0zODQw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="2309" height="1299" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84NDU2MDAvZ2V0dHlpbWFnZXMtMTIwMzA0NDE1Ni5qcGcmdz0zODQw"/></p>
<p>圖片來源：Getty Images。</p>
<h2>對人工智能的早期投資</h2>
<p>不過，在深入探討之前，讓我們快速回顧一下英偉達的成功故事和競爭的增長。如前所述，英偉達通過開發適合這一技術需求的 圖形處理單元（GPU）對人工智能芯片市場的潛力進行了早期投資。英偉達還擴大了其產品和服務的範圍。所有這些使得收入飆升至創紀錄的水平；例如，最新財年的收入超過了 1300 億美元。英偉達在銷售上也實現了高盈利，最近幾個季度的毛利率一般保持在 70% 以上。</p>
<p>但是，如前所述，英偉達並不是人工智能芯片市場上唯一的參與者。它面臨來自 <strong>超微半導體</strong> 和 <strong>博通</strong> 等芯片設計師的競爭，以及來自自身客户（如亞馬遜）的競爭。公司的亞馬遜網絡服務（AWS）部門開發了自己的芯片系列，為注重成本的客户提供了選擇。而 <strong>字母表</strong>（Alphabet），谷歌雲的擁有者，也是英偉達的客户，並開發了自己的芯片。這些參與者在最近的財報中都提到了來自人工智能客户對這些產品的高需求。</p>
<p>廣告</p>
<p>因此，顯然，隨着人工智能故事的發展，競爭可能是投資者擔心的一個問題。在我們聽取黃仁勳的評論之前，這裏有一個關於公司人工智能芯片使用的重要説明。</p>
<p>展開</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL05WREEucG5nJnc9MTI4?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="英偉達股票報價" width="80" height="80" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL05WREEucG5nJnc9MTI4"/></p>
<h2>NASDAQ: NVDA</h2>
<p>英偉達</p>
<p>今日變動</p>
<p>(-0.56%) $-1.03</p>
<p>當前價格</p>
<p>$182.35</p>
<h3>關鍵數據點</h3>
<p>市值</p>
<p>$4433B</p>
<p>日內區間</p>
<p>$180.92 - $184.65</p>
<p>52 周區間</p>
<p>$86.62 - $212.19</p>
<p>成交量</p>
<p>4.2M</p>
<p>平均成交量</p>
<p>190M</p>
<p>毛利率</p>
<p>70.05%</p>
<p>股息收益率</p>
<p>0.03%</p>
<h2>訓練大型語言模型</h2>
<p>最初，英偉達的 GPU 被用於 大型語言模型（LLMs）的訓練，使其獲得信息或知識，以便能夠回答問題或解決問題。現在仍然如此，但如今及未來，公司的高性能 GPU 也為 LLMs 提供了 “思考” 和 “推理” 所需的動力。這被稱為 推理過程，英偉達正在押注這將成為人工智能芯片的一個主要增長領域。</p>
<p>英偉達的 Blackwell GPU 在最近的推理性能測試中，展現了在各模型和使用案例中最強的性能和最低的總擁有成本。應用於 DeepSeek R1 模型，Blackwell 在每瓦特性能上產生了 10 倍的提升，每個 token 的成本則降低了 10 倍（token 是訓練和推理過程中處理的數據位）。這些測試由 AI 專家聯盟 MLCommons 設計。</p>
<h2>黃仁勳的發言</h2>
<p>黃仁勳關於該性能的信息非常明確：</p>
<p>“在有人能夠挑戰之前，這將需要很長時間，” 黃仁勳在上個月的 財報電話會議 中表示。“我們的領導地位無疑是多年的。”</p>
<p>因此，英偉達繼續為人工智能客户提供最強大的計算能力，這對許多希望快速實現目標並在成本節約和效率上獲得收益的參與者至關重要。當然，市場上還有很多空間供英偉達的競爭對手爭奪份額——某些客户可能不需要最強大的 GPU，甚至主要客户可能會在某些工作中更喜歡其他芯片，如博通的定製 AI 芯片。</p>
<p>但英偉達的芯片仍然是最強大的選擇，公司對創新的承諾應該會保持這一點。同樣重要的是，推理可能會變得非常重要，因為它涉及到為 LLMs 提供動力，使其執行任務。</p>
<p>讓我們回到我們的問題：你應該擔心英偉達的市場主導地位嗎？黃仁勳最近的評論給出了一個非常明確的答案——“不”。這家科技巨頭仍在軌道上，計劃在推理這一有前景的領域長期佔據市場主導地位。</p>

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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>根據首席執行官黃仁勳的説法，儘管面臨亞馬遜和谷歌等公司的競爭，英偉達在人工智能芯片領域的領導地位依然穩固。英偉達在人工智能芯片上的早期投資帶來了顯著的收入增長和市場主導地位。黃仁勳在一次財報電話會議上的聲明向投資者保證，英偉達在人工智能領域，特別是在推理過程中的多年來的領導地位，尤其是英偉達的 GPU 表現出色。儘管競爭對手可能會爭奪市場份額，但英偉達對創新的承諾和強大的 GPU 確保了其在人工智能芯片市場的持續主導地位</p>

<p><strong>Nvidia</strong>( NVDA 0.56%) has built an artificial intelligence (AI) chip empire over the past several years. Originally known for serving the video game market with chips, Nvidia pivoted to focus on AI, and that has emerged as its key business. This has proven to be a smart move as it's fueled enormous revenue growth for the company -- for example, annual revenue has increased by 2,500% over the past decade.</p>
<div class="lb-trans"><p><strong>英偉達</strong>（NVDA 0.56%）在過去幾年中建立了一個人工智能（AI）芯片帝國。最初以為視頻遊戲市場提供芯片而聞名，英偉達轉向專注於人工智能，這已成為其關鍵業務。這被證明是一個明智的舉動，因為它為公司帶來了巨大的收入增長——例如，過去十年年收入增長了 2500%。</p>
</div><p>The tech company's entry into the market ahead of others secured its leadership, and its ongoing innovation has kept that going. Still, some investors have worried about Nvidia facing competition in the coming years, from other chip designers as well as its own customers -- some, such as <strong>Amazon</strong>, have developed their own chips that they use and sell along with those of other chip companies.</p>
<div class="lb-trans"><p>這家科技公司在其他公司之前進入市場，確保了其領導地位，而其持續的創新也保持了這一地位。然而，一些投資者擔心英偉達在未來幾年將面臨來自其他芯片設計師以及自身客户的競爭——一些客户，如 <strong>亞馬遜</strong>，已經開發了自己的芯片，並與其他芯片公司的產品一起使用和銷售。</p>
</div><p>Should you worry about Nvidia's AI market leadership moving forward? The following 21 words from Nvidia chief Jensen Huang offer us a strikingly clear answer.</p>
<div class="lb-trans"><p>你應該擔心英偉達在人工智能市場的領導地位嗎？英偉達首席執行官黃仁勳的以下 21 個字給出了一個非常明確的答案。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84NDU2MDAvZ2V0dHlpbWFnZXMtMTIwMzA0NDE1Ni5qcGcmdz0zODQw" alt="An investor looks pensively at something on a laptop in a home office." original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F845600%2Fgettyimages-1203044156.jpg&amp;w=3840&amp;op=resize"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>圖片來源：Getty Images。</p>
</div><h2>An early bet on AI</h2>
<div class="lb-trans"><h2>對人工智能的早期投資</h2>
</div><p>Before diving in, though, let's take a quick look at the Nvidia success story and the growth of competition. As mentioned, Nvidia placed an early bet on the potential of the AI chip market by developing graphics processing units (GPUs) suited to the needs of this technology. And Nvidia has broadened its offerings to include a full range of products and services. All of this has resulted in revenue soaring to record levels; for example, revenue reached more than $130 billion in the latest fiscal year. And Nvidia also has reached high profitability on sales, generally maintaining gross margin above 70% in recent quarters.</p>
<div class="lb-trans"><p>不過，在深入探討之前，讓我們快速回顧一下英偉達的成功故事和競爭的增長。如前所述，英偉達通過開發適合這一技術需求的 圖形處理單元（GPU）對人工智能芯片市場的潛力進行了早期投資。英偉達還擴大了其產品和服務的範圍。所有這些使得收入飆升至創紀錄的水平；例如，最新財年的收入超過了 1300 億美元。英偉達在銷售上也實現了高盈利，最近幾個季度的毛利率一般保持在 70% 以上。</p>
</div><p>But, as mentioned, Nvidia isn't the only game in town when it comes to AI chips. It faces competition from chip designers such as <strong>Advanced Micro Devices</strong> and <strong>Broadcom,</strong> as well as its own customers, such as Amazon. The company's Amazon Web Services (AWS) unit has developed its own line of chips, offering an option to cost-conscious customers. And <strong>Alphabet</strong>, owner of Google Cloud, also is a Nvidia customer that's developed its own chips. These players, in recent earnings reports, each have spoken of high demand from AI customers for these products.</p>
<div class="lb-trans"><p>但是，如前所述，英偉達並不是人工智能芯片市場上唯一的參與者。它面臨來自 <strong>超微半導體</strong> 和 <strong>博通</strong> 等芯片設計師的競爭，以及來自自身客户（如亞馬遜）的競爭。公司的亞馬遜網絡服務（AWS）部門開發了自己的芯片系列，為注重成本的客户提供了選擇。而 <strong>字母表</strong>（Alphabet），谷歌雲的擁有者，也是英偉達的客户，並開發了自己的芯片。這些參與者在最近的財報中都提到了來自人工智能客户對這些產品的高需求。</p>
</div><p>Advertisement</p>
<div class="lb-trans"><p>廣告</p>
</div><p>So, it's clear that competition could be something investors might worry about as this AI story develops. Before we get to the comment from Jensen Huang, here's one important note about the use of the company's AI chips.</p>
<div class="lb-trans"><p>因此，顯然，隨着人工智能故事的發展，競爭可能是投資者擔心的一個問題。在我們聽取黃仁勳的評論之前，這裏有一個關於公司人工智能芯片使用的重要説明。</p>
</div><p>Expand</p>
<div class="lb-trans"><p>展開</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL05WREEucG5nJnc9MTI4" alt="Nvidia Stock Quote" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Fart%2Fcompanylogos%2Fmark%2FNVDA.png&amp;w=128&amp;op=resize"/></p>
<h2>NASDAQ: NVDA</h2>
<div class="lb-trans"><h2>NASDAQ: NVDA</h2>
</div><p>Nvidia</p>
<div class="lb-trans"><p>英偉達</p>
</div><p>Today's Change</p>
<div class="lb-trans"><p>今日變動</p>
</div><p>(-0.56%) $-1.03</p>
<div class="lb-trans"><p>(-0.56%) $-1.03</p>
</div><p>Current Price</p>
<div class="lb-trans"><p>當前價格</p>
</div><p>$182.35</p>
<div class="lb-trans"><p>$182.35</p>
</div><h3>Key Data Points</h3>
<div class="lb-trans"><h3>關鍵數據點</h3>
</div><p>Market Cap</p>
<div class="lb-trans"><p>市值</p>
</div><p>$4433B</p>
<div class="lb-trans"><p>$4433B</p>
</div><p>Day's Range</p>
<div class="lb-trans"><p>日內區間</p>
</div><p>$180.92 - $184.65</p>
<div class="lb-trans"><p>$180.92 - $184.65</p>
</div><p>52wk Range</p>
<div class="lb-trans"><p>52 周區間</p>
</div><p>$86.62 - $212.19</p>
<div class="lb-trans"><p>$86.62 - $212.19</p>
</div><p>Volume</p>
<div class="lb-trans"><p>成交量</p>
</div><p>4.2M</p>
<div class="lb-trans"><p>4.2M</p>
</div><p>Avg Vol</p>
<div class="lb-trans"><p>平均成交量</p>
</div><p>190M</p>
<div class="lb-trans"><p>190M</p>
</div><p>Gross Margin</p>
<div class="lb-trans"><p>毛利率</p>
</div><p>70.05%</p>
<div class="lb-trans"><p>70.05%</p>
</div><p>Dividend Yield</p>
<div class="lb-trans"><p>股息收益率</p>
</div><p>0.03%</p>
<div class="lb-trans"><p>0.03%</p>
</div><h2>Training LLMs</h2>
<div class="lb-trans"><h2>訓練大型語言模型</h2>
</div><p>Initially, Nvidia's GPUs were used to power the training of large language models (LLMs), so that they would gain the information or knowledge to go on and answer questions or solve problems. This still is the case, but today and moving forward, the company's high-powered GPUs also serve as the power LLMs need to &#34;think&#34; and &#34;reason.&#34; This is called the inference process, and Nvidia is betting that it will be a major growth area for AI chips.</p>
<div class="lb-trans"><p>最初，英偉達的 GPU 被用於 大型語言模型（LLMs）的訓練，使其獲得信息或知識，以便能夠回答問題或解決問題。現在仍然如此，但如今及未來，公司的高性能 GPU 也為 LLMs 提供了 “思考” 和 “推理” 所需的動力。這被稱為 推理過程，英偉達正在押注這將成為人工智能芯片的一個主要增長領域。</p>
</div><p>Nvidia's Blackwell GPUs, in a recent test of their strength in inferencing, delivered the strongest performance and lowest total cost of ownership across models and use cases. Applied to the DeepSeek R1 model, Blackwell generated a 10 times higher performance per watt and 10 times lower cost per token compared to Nvidia's Hopper-driven chips. (Tokens are bits of data handled during training and inferencing.) These tests are designed by MLCommons, a consortium of AI experts.</p>
<div class="lb-trans"><p>英偉達的 Blackwell GPU 在最近的推理性能測試中，展現了在各模型和使用案例中最強的性能和最低的總擁有成本。應用於 DeepSeek R1 模型，Blackwell 在每瓦特性能上產生了 10 倍的提升，每個 token 的成本則降低了 10 倍（token 是訓練和推理過程中處理的數據位）。這些測試由 AI 專家聯盟 MLCommons 設計。</p>
</div><h2>Words from Jensen Huang</h2>
<div class="lb-trans"><h2>黃仁勳的發言</h2>
</div><p>Jensen Huang's message regarding that performance is clear:</p>
<div class="lb-trans"><p>黃仁勳關於該性能的信息非常明確：</p>
</div><p>&#34;It's gonna take a long time before somebody is able to take that on,&#34; Huang said during the company's earnings call last month. &#34;And our leadership there is surely multiyear.&#34;</p>
<div class="lb-trans"><p>“在有人能夠挑戰之前，這將需要很長時間，” 黃仁勳在上個月的 財報電話會議 中表示。“我們的領導地位無疑是多年的。”</p>
</div><p>So, Nvidia continues to offer AI customers the most powerful compute, and that matters to many players that aim to reach their goals fast -- and gain in cost savings and efficiency over time. Of course, there is plenty of room in the market for Nvidia competitors to carve out share -- certain customers may not require the most powerful GPU, and even major customers might prefer other chips, such as Broadcom's custom AI chips, for certain jobs.</p>
<div class="lb-trans"><p>因此，英偉達繼續為人工智能客户提供最強大的計算能力，這對許多希望快速實現目標並在成本節約和效率上獲得收益的參與者至關重要。當然，市場上還有很多空間供英偉達的競爭對手爭奪份額——某些客户可能不需要最強大的 GPU，甚至主要客户可能會在某些工作中更喜歡其他芯片，如博通的定製 AI 芯片。</p>
</div><p>But Nvidia chips continue to stand out as the most powerful option, and the company's commitment to innovation should keep that going. It's also important to note that inferencing could be big, since it involves the powering of LLMs as they carry out their tasks.</p>
<div class="lb-trans"><p>但英偉達的芯片仍然是最強大的選擇，公司對創新的承諾應該會保持這一點。同樣重要的是，推理可能會變得非常重要，因為它涉及到為 LLMs 提供動力，使其執行任務。</p>
</div><p>Let's get back to our question: Should you worry about Nvidia's market dominance? Huang's recent comment leads us to a strikingly clear answer -- &#34;no.&#34; The tech giant remains on track to dominate the market and win in the promising area of inferencing over the long term.</p>
<div class="lb-trans"><p>讓我們回到我們的問題：你應該擔心英偉達的市場主導地位嗎？黃仁勳最近的評論給出了一個非常明確的答案——“不”。這家科技巨頭仍在軌道上，計劃在推理這一有前景的領域長期佔據市場主導地位。</p>
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Should You Worry About Nvidia's AI Market Leadership? 21 Words From Jensen Huang Offer a Strikingly Clear Answer.

- Nvidia 在人工智能芯片市場取得顯著成功，年收入增長 2,500%。  
- 競爭對手如亞馬遜和谷歌雲也在開發自有芯片，可能影響市場格局。  
- Jensen Huang 表示，Nvidia 的市場領導地位將持續多年。  

你是否應該擔心英偉達在 AI 市場的領導地位？黃仁勳的 21 個字給出了一個非常清晰的答案