NVDA凭借高利润率和生态锁定占据主导市场地位,但面临竞争和估值风险;长期潜力存在,但需要有吸引力的入场价格。
逐段跳播
今天,我将谈谈 AMD、Broadcom、Amazon、Meta 和 Nvidia。
Today , I will talk about AMD, Broadcom, Amazon, Meta, and Nvidia.
Nvidia 主导着这个市场,但 Microsoft、Meta 和 OpenAI 这样的公司并不一定希望所有的计算需求都依赖单一供应商。
Nvidia dominates this market, but companies like Microsoft, Meta and OpenAI don't necessarily want to rely on a single supplier for all their computing needs.
Nvidia 拥有成熟的软件系统、庞大的客户关系,以及来自人工智能的规模大得多的收入。
Nvidia has a well-established software system, huge customer relationships, and much larger revenues from artificial intelligence.
让我们进入下一个箭头,“Nvidia”。Nvidia 是构建人工智能基础设施这一过程的中介,而且现在,许多人对 Nvidia 的估值感到担忧,这是可以理解的。它的市值已经相当于数万亿美元,自然的问题是:它实际上还能增长多少?
但仅凭市值并不能说明一只股票是否被高估。你应该将估值与公司的收入、利润、现金流和未来增长预测进行比较。Nvidia 在这三个方面都在赚取巨额资金。它最近公布的毛利率约为 75%。
其营业利润率约为 66%。这意味着 Nvidia 将收入中异常大的部分保留为营业利润。
Let's move on to the next arrow, "Nvidia". Nvidia is the company that mediates the process of building artificial intelligence infrastructure, and Now, many people are understandably concerned about Nvidia's rating.
Its value is already equivalent to trillions of dollars, and the natural question is: how much can it realistically grow? But market value alone does not tell you whether a stock is overpriced.
You should compare the valuation with the company's revenue, profits, cash flows, and future growth projections. Nvidia was making huge sums of money from all three of these elements.
The gross profit margin it recently announced was approximately 75%. Its operating profit margin was approximately 66%. This means that Nvidia retains an exceptionally large portion of its revenue as operating profit.
Nvidia 的业务中还有另一个非常重要的部分。那就是它的生态系统。企业多年来一直使用 Nvidia 的 CUDA 软件平台和硬件开发人工智能应用。切换到替代架构并不一定像买一块不同的芯片那么简单。
你需要考虑软件能力、性能、工程资源,以及支撑这些应用的现有基础设施。这带来了巨大的转换成本。这也是 Nvidia 在人工智能计算领域保持如此强势地位的原因之一。
There is another part of Nvidia's business that is very important. It's its ecosystem . Companies have spent years developing artificial intelligence applications using Nvidia's CUDA software platform and hardware.
Switching to an alternative architecture is not necessarily as simple as buying a different chip. You need to consider the software capabilities, performance, engineering resources, and existing infrastructure that supports those applications.
This creates significant conversion costs. This is one of the reasons why Nvidia has maintained such a strong position in artificial intelligence computing.
接下来是人工智能的下一个阶段,即人工智能代理。与其向聊天机器人提问并得到答案,不如想象一个 AI 代理替你完成整个任务。它可能是在研究一款产品、比较价格、分析财务信息、编写软件,或完成一笔商业交易。
这些任务所需的计算能力可能远高于与聊天机器人的简单交互。如果 AI 代理被广泛采用,这可能会为 Nvidia 的基础设施创造额外的需求。
Then there is the next stage of artificial intelligence, which is artificial intelligence agents . Instead of asking a chatbot a question and receiving an answer, imagine an AI agent performing an entire task on your behalf.
He might be researching a product, comparing prices, analyzing financial information, writing software, or completing a business transaction. Those tasks may require much more computing power than a simple interaction with a chatbot.
If AI agents are widely adopted, this could create additional demand for Nvidia's infrastructure.
现在,我不想忽视风险。Amazon、Google、Meta 和 Microsoft 都在投资专用 AI 芯片,这可能构成一个重大问题。此外,我已经提到过的 AMD 已成为一个重要得多的竞争对手。
随着市场成熟,Nvidia 异常高的利润率可能会变得更难维持。还有一个风险是,客户最终会建设超出自身需求的算力。
Now, I don't want to ignore the risks. Amazon, Google, Meta, and Microsoft are all investing in dedicated AI chips, and this could pose a significant problem. Also, AMD, which I already mentioned, has become a much more important competitor.
Nvidia’s exceptionally high profit margins may become more difficult to maintain as the market matures. There is also a risk that customers will end up building more computing capacity than they need.
因此,我将关注数据中心的增长、毛利率、来自专用芯片领域的竞争,以及 AI 基础设施的实际使用情况。Nvidia 在这个行业中拥有稳固的地位,但即便是一家卓越的公司,如果你为它付出过高的价格,也可能是一笔糟糕的投资。
Therefore, I will be monitoring the growth of data centers, gross profit margins, competition from dedicated segments, and the actual use of AI infrastructure. Nvidia has a well-established position in this industry, but even an exceptional company can be a bad investment if you pay too much for it.
我的五只股票:AMD、Broadcom、Amazon、Meta 和 Nvidia。这五家公司都能以不同方式利用人工智能,我相信它们具有巨大的长期潜力。当出现有吸引力的机会时,我会继续买入。
My five stocks: AMD, Broadcom, Amazon, Meta, and Nvidia. All five companies are in a position to leverage artificial intelligence in different ways, and I believe they have great long-term potential.
I will continue to buy when attractive opportunities arise .
观察点
这个频道对 $NVDA 的历次判断
Invest with Henry 在这只股票上共 7 条判断,这里只列相邻的几条。