<div id="readability-page-1"><p>When it comes to semiconductor stocks, odds are that companies such as <strong>Nvidia</strong> <span>(NVDA<span> -3.00%</span>)</span> and <strong>Advanced Micro Devices</strong> <span>(AMD<span> -4.76%</span>)</span> are the first that come to mind. Both companies specialize in designing advanced chips called graphics processing units (GPUs), which are essential components for training generative AI models and machine learning.</p> <p>Over much of the last two years, Nvidia has emerged as the undisputed leader in the chip realm thanks to its long line of GPUs relative to what AMD has to offer. However, there is another part of Nvidia's computing and networking business that rarely gets spoken about -- and yet it's this very feature that has allowed Nvidia to remain in a market-leading position when it comes to data center GPUs.</p> <p>Below, I'm going to explain what makes Nvidia such a force, and I'll detail AMD's latest move as it seeks to compete more closely with its rival, and how the chip king is responding.</p>  <h2>Nvidia has a hidden gem in its business...</h2> <p>GPUs in data centers are constantly running sophisticated computations around the clock. But how do these chipsets work, and what's actually powering them?</p> <p>For Nvidia, the answer resides in its compute unified device architecture (CUDA), a software platform that layers on top of its GPUs. Although the company's chips can technically run on other platforms, developers are going to be limited in what they can accomplish. For this reason, using CUDA in conjunction with Nvidia GPUs is the optimal solution to take advantage of their large range of features.</p> <p>Building an end-to-end suite featuring tightly integrated hardware and software has helped Nvidia acquire a 90% share of the data center GPU market. Nevertheless, AMD appears to have a response up its sleeve, and it could just be the catalyst that leads to more accelerated growth for the Nvidia rival.</p> <div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDM1OTYvZ2V0dHlpbWFnZXMtMTU0NTMwODkwNy0xLmpwZyZ3PTcwMA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="700" height="466" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDM1OTYvZ2V0dHlpbWFnZXMtMTU0NTMwODkwNy0xLmpwZyZ3PTcwMA"/></p><p>Image source: Getty Images.</p> </div> <h2>...but AMD is raising the stakes</h2> <p>While Nvidia undoubtedly has an enormous lead over AMD, there are some subtle signs that the company may be losing its grip on market dominance. As I explained in another article, sales of Nvidia's data center GPUs are showing some notable signs of deceleration. And at the same time, AMD's GPU business has scaled up considerably -- now growing at a rate similar to that of Nvidia's operation.</p> <p>One reason for AMD's sudden surge is the overwhelming success of its MI300X accelerators, which have <strong>Microsoft</strong>, <strong>Oracle</strong>, and <strong>Meta Platforms</strong> as customers. Although each of these big tech companies is also a major Nvidia customer, it's notable that they are diversifying their GPU clusters and beginning to migrate toward lower-cost alternatives offered by AMD.</p> <p>In addition to AMD's accelerators, the company also offers a software platform called ROCm. While CUDA has been more widely adopted than ROCm to date, I think the differing trends between the data center operations offered by Nvidia and AMD could signal that ROCm is poised for a breakout move as AMD seeks to acquire incremental market share in GPUs.</p>  <h2>Nvidia's latest deal is a chess move for the ages</h2> <p>I don't think I'm the only one who has noticed AMD's rapid growth in the data center GPU market over the last year. In late December, Nvidia closed a $700 million acquisition of a company called Run:ai, a start-up based in Israel that describes its specialty as &#34;efficient cluster resource utilization for AI workloads.&#34;</p> <p>I see the Run:ai acquisition as an incredibly savvy decision, as it underscores Nvidia's approach to remain a tightly integrated ecosystem for its customers on which AI workloads are trained. As a result, I think it's going to become even more challenging for customers to migrate away to alternatives such as AMD's ROCm.</p> <p>While I remain bullish on AMD and believe the company is making a lot of important strategic moves, I do not think ROCm is a checkmate move against Nvidia. For now, Nvidia remains safely on the throne as the king of the GPU realm.</p>                                                                                             </div>

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<p>AMD is making strides in the GPU market, challenging Nvidia's dominance. While Nvidia holds a 90% share in data center GPUs, AMD's MI300X accelerators are gaining traction with major clients like Microsoft and Oracle. Despite Nvidia's recent acquisition of Run:ai to enhance its ecosystem, AMD's ROCm software platform shows potential for growth. However, Nvidia still maintains a strong position in the market, and while AMD is improving, it has not yet achieved a decisive advantage over Nvidia.</p>

- Nvidia and AMD are key players in the semiconductor industry, particularly in the GPU market essential for AI and machine learning.  
- Nvidia holds a 90% share of the data center GPU market, largely due to its CUDA software platform, while AMD is gaining traction with its MI300X accelerators and ROCm software.  
- Nvidia's recent $700 million acquisition of Run:ai aims to enhance its integrated ecosystem, reinforcing its market dominance despite AMD's competitive advancements.

Did AMD Just Say "Checkmate" to Nvidia?