Highlights

① Nvidia’s investment layout shows a diversified trend, covering AI infrastructure, voice interaction, medical care Health and other fields reflect the deep penetration of AI technology in various industries.

② Most NVIDIA concept stocks are in a period of rapid growth. Although their current profitability is limited, they have unique technical advantages and commercialization potential in their respective segments. NVIDIA's investment not only brings financial support, but more importantly, technical cooperation and ecological empowerment, which will help accelerate the product launch and market expansion of these companies.

③ NVIDIA investment often represents the development direction of the industry, reflects the key areas of AI technology application, and hints at potential technological breakthrough points. Investors need to pay close attention to the commercialization progress, technological innovation capabilities and industry competition landscape of these companies, and discover emerging investment opportunities in advance by understanding NVIDIA's strategic layout.

In an article a few months ago, the RockFlow investment research team summarized the real moat of NVIDIA, a leading AI company, and why we believe that NVIDIA is not only A great company and an investment with a high potential rate of return.

But in fact, in addition to NVIDIA itself, the key tracks and companies it invests in and focuses on have also been repeatedly sought after by the US stock market. The market believes that Nvidia’s investment decisions are based on a deep understanding and forward-looking judgment of the development of AI technology, which often represents the development direction of the industry, and companies that receive its investment may enjoy multiple preferential treatment such as technical support, chip supply and ecological resources. Therefore, Nvidia concept stocks are expected to share the huge dividends of the AI ​​revolution and are particularly worthy of attention.

In this article, the RockFlow investment research team will provide you with an in-depth analysis of Nvidia’s concept stocks and help you understand its long-term investment value and feasible investment strategies (note : This article does not include ARM as a research subject. It is also one of Nvidia's positions, but its market value has already exceeded 100 billion US dollars, which does not fall into the range of hundreds of millions to billions studied in this article).

1. Serve Robotics (SERV), focusing on the development of automatic delivery robots

AI leader NVIDIA What do you have in common with Uber, the world’s largest ride-hailing platform? The answer is that they are collectively optimistic about an automatic companyDelivery robot company.

Uber is working with 14 different companies to develop its self-driving platform as it looks to move the mobility industry away from human drivers. Technologies such as autonomous driving and robotics are driven by AI, and Nvidia has developed its own autonomous driving platform. Together, the two chose to invest in SERV, a $600 million company that develops autonomous delivery robots. Together, the two own more than 20% of SERV's outstanding shares, suggesting they are bullish on the company's prospects.

In most cities in North America, existing last-mile delivery solutions are quite inefficient. Uber Eats and DoorDash, among others, rely on delivery drivers who often use cars to deliver food and other products to customers. SERV asked a thoughtful question: Why transport a two-pound burrito in a two-ton car?

Robots and drones may be a better solution. SERV said the hardware and software costs associated with developing AI and automation are falling rapidly, so robots are increasingly becoming a more economical option. It predicts that once robot adoption increases and operations scale, their cost per delivery will eventually be as low as $1.

SERV's robots have Level 4 autonomous driving capabilities, which means they can drive on sidewalks within designated areas without human intervention. Since the beginning of 2022, the company’s robots have delivered more than 50,000 orders to more than 400 restaurants in Los Angeles, and those deliveries are 99.94% reliable. SERV says this makes the robot 10 times more reliable than a human driver.

The company's latest Gen3 robot is the smartest and fastest yet, with a top speed of 11 miles per hour. Thanks to NVIDIA’s Jetson Orin technology, which includes the hardware and software required for advanced robotics and computer vision, Gen3 is five times more powerful than SERV’s previous generation of robots. It has a faster top speed, greater range and longer operating times, which all combine to mean a 50% reduction in operating costs.

Under the contract with Uber, SERV is working to deploy 2,000 new robots by the end of 2025, which will allow it to expand to other areas of California, as well as Germany. Dallas and Fort Worth, Texas. this pairIt's also a win for Uber, which, if the plan succeeds, will save money by reducing its use of human delivery drivers.

SERV was previously spun off from Postmates, which was acquired by Uber, and became an independent entity in 2021. However, Uber remains SERV's largest investor, with a 12% stake. Nvidia has invested in SERV since 2022 and currently holds a 10% stake.

RockFlow's investment research team believes that its long-term investment value is mainly reflected in its leading technology, huge market potential, long-term cost advantages compared to manual delivery, and clear business model. Factors, as the demand for automation continues to grow in the future, SERV will have more application scenarios to expand.

2 .Nebius Group (NBIS), an emerging AI cloud computing service provider

Nebius is a cloud computing and AI infrastructure service provider. On December 2, 2024, the company announced the completion of a US$700 million round of financing, with the participation of venture capital firms Accel, NVIDIA, Orbis Investments and other institutions. The proceeds will be used to further build large-scale GPU clusters, expand cloud platforms, and develop Provide more tools and services to developers to fully support the innovative development of global AI pioneers.

NBIS’s AI services rely heavily on NVIDIA’s high-end GPUs. The financing will power NBIS to accelerate the construction of more advanced AI infrastructure and deepen its strategic partnership with NVIDIA. With NVIDIA's advanced technical support, NBIS can provide customers with a more efficient and powerful computing platform to enhance competitiveness in key areas such as cloud computing, big data analysis and AI development.

NVIDIA's technical advantages have significant strategic value to NBIS. By acquiring NVIDIA's latest GPU and AI acceleration hardware, NBIS can not only enhance the computing capabilities of its infrastructure, but also quickly adapt to the growth in global AI application demands and provide customers with efficient and scalable solutions.

In fact, NBIS has become an NVIDIA certified partner as early as Q3 of 2023. It has already deployed a large number of NVIDIA H100 GPUs for AI training, and the two parties have cooperated in depth to jointly develop enterprise-level AI solutions.

RockFlow investment research team believes that the long-term investment value of NBIS includes: AI The growth potential of the continued expansion of the cloud computing market, competitive technical strength in the field of AI infrastructure, high-quality enterprise customer base, NVIDIA's advanced technical support, and continued revenue generated by the subscription model are worthy of optimism. < /p>

3. SoundHound AI (SOUN), AI-powered voice brings strong growth

As a super bull stock in the AI ​​sector this year, SoundHound AI's stock price has soared more than 600% this year, beating Nvidia

SOUN disclosed record third-quarter revenue last month and raised its full-year revenue forecast, citing the company's successful expansion of its target market. CEO Keyvan Mohajer said in the third-quarter earnings statement: "We believe that voice is the application. Generative AI extremely attractive applications. ”

In the earnings call, SOUN updated the progress of its Polaris large-scale language model. Mohajer said that Polaris has improved the company's proprietary automatic speech recognition technology to New Levels. Polaris has learned from billions of real conversations and more than 1 million hours of audio in dozens of languages ​​that the company has accumulated over the years. Put into real-world applications, the results are outstanding. Accuracy is significantly improved while hosting costs are reduced. Polaris is said to currently handle approximately one-third of the AI ​​interactions handled by SOUN for customers in the restaurant industry.

In addition, NVIDIA is not only a shareholder of SOUN, but also a partner. Earlier this year, SOUN announced an in-car voice assistant that uses a large language model and is in use. NVIDIA's DRIVE technology works.

SOUN's outstanding performance has attracted the pursuit of many funds. Investors believe that its AI voice products have strong demand in various industries such as automobiles, catering, financial services, health care and insurance, and SOUN has the ability to continue to improve and solve The industry diversification of the solution.

RockFlow investment research team believes that in view of the rapid progress of SOUN's AI business, it will not only launch a new generation of speech recognition engine and develop multi-language real-time Translation system, its AI The assistant is already used to handle complex conversations, and will continue to expand vertical industry applications in the future, thereby bringing more revenue conversions.

4. Applied Digital (APLD), an AI cloud service company will benefit from the growth in computing power demand

APLD It designs, develops and operates digital infrastructure solutions and cloud services, high-performance computing and AI industries in North America. In September this year, the AI ​​cloud company received US$160 million in financing from investors including NVIDIA and related companies. According to statistics, NVIDIA's current total holdings in digital infrastructure solutions developer APLD are approximately 7.72 million shares, worth approximately US$63.66 million, equivalent to 3% of APLD's shares.

During the artificial intelligence boom, NVIDIA has been increasing investment to support companies that use its chips. For APLD, it has a close relationship with NVIDIA: it announced cooperation as early as July 2023 To build an AI supercomputing center, it not only purchased a large number of NVIDIA H100 GPUs, but also obtained NVIDIA technical support certification.

APLD’s AI has been greatly improved in the past few quarters. Business development has been very successful. It not only built multiple AI computing clusters and provided AI model training infrastructure, but also developed sustainable energy AI computing solutions and continued to expand AI cloud services. In July 2023, it signed a huge contract with Character.AI. It is a well-known case. In December 2023, APLD officially announced that it had obtained a long-term contract (the customer was not disclosed), which further demonstrated the market’s confidence in its business.

RockFlow The investment research team believes that benefiting from the increased demand for AI computing powerIn the long run, APLD's share price will also provide surprises.

5 .Nano-X Imaging (NNOX), AI medical and auxiliary diagnosis is expected to play a greater value

The AI ​​medical company Nano-X Imaging has developed a digital X X-ray source of commercial-grade tomography equipment, providing teleradiology services and developing AI applications for real-world medical imaging applications.

More importantly, the company's Nanox. CLOUD can use a matching engine to match medical images with radiologists, providing an image storage library and diagnostic assistance. Connectivity, billing, and reporting for AI systems. Its MARKETPLACE platform can provide hospitals, health maintenance organizations, integrated medical networks, pharmaceutical companies and insurance companies with AI-based software imaging solutions designed to identify or predict unidentified medical imaging by mining data in existing computed tomography images. Diagnosed or underreported medical conditions such as osteoporosis and cardiovascular disease.

This company has received multiple investments from Foxconn and SK Telecom in 2020. Its relationship with NVIDIA can be traced back to last year. In Q4 of 2023, NNOX began to use the NVIDIA Clara platform, and its AI medical imaging analysis has also used NVIDIA GPUs for a long time. In addition, NNOX has already received support from the NVIDIA Medical AI Acceleration Program.

The RockFlow investment research team believes that NNOX’s current AI progress is mainly reflected in: developing AI-assisted diagnosis systems, launching cloud medical image analysis platforms, and screening many diseases with the help of AI algorithms for various diseases, and continue to expand the medical imaging database that can be used for AI analysis. As AI capabilities expand in the future, it will continue to play great value.

6 .Recursion(RXRX), AI-driven drug research and development will bring new changes

From drug research and developmentIt may take more than 15 years for the drug to be approved by the U.S. FDA and cost as much as $2.5 billion. The initial daunting task of drug development can take anywhere from several months to more than a year to complete. After spending millions of dollars, up to 90% of drug candidates often fail clinical trials.

RXRX accelerates the drug discovery process by leveraging AI, automated biology and high-throughput screening, and machine learning algorithms to identify and predict the efficacy of potential drug targets. Its vast proprietary chemical and biological database, called the Recursions Data Universe, exceeds 23 petabytes in size and includes data on proteins, genes and pathways associated with disease. Its Recursion Map contains hundreds of billions of searchable chemical and biological inferences, enabling millions of wet lab experiments every week.

RXRX can assess potential drug failures earlier, saving millions of dollars and bringing drugs to market faster and more efficiently. RXRX has partnerships with Bayer and Roche Holding AG.

In July 2023, NVIDIA invested $50 million in RXRX to help accelerate the development of its AI drug discovery model. In February 2024, NVIDIA officially announced that it held approximately US$76 million in RXRX stock. RXRX has long used the DGX SuperPOD system developed by Nvidia, and the two are also co-developing a digital bio platform.

The RockFlow investment research team believes that AI innovation still has great potential in medical applications and drug research and development, including building biological data mapping technology and AI-driven drug discovery RXRX is involved in platforms, machine learning to predict drug effects, and laboratory automation, and its future is still full of considerable value-added possibilities.

Conclusion

The RockFlow investment research team believes that tracking NVIDIA's holdings in concept stocks has important reference value. Investors can continue to pay attention to NVIDIA's increase in holdings of related concept stocks, AI Commercialization progress, revenue growth and gross profit margin changes, new product/service launches, changes in industry competition landscape, etc. Judging from past stock price fluctuations, NVIDIA’s new investments and technological breakthroughs haveNodes such as reports and confirmation of performance turning points are good entry opportunities.

However, it needs to be reminded that rational analysis is required when investing, focusing on the company's fundamentals and long-term development capabilities, and avoiding simply following the trend and hyping up. In addition, diversifying investments, setting stop losses, and regular rebalancing are also important strategies for risk control.