Podcast Summary: Motley Fool Money – "What Drives Nvidia’s Growth?"

Release Date: February 27, 2025

Hosts: Dylan Lewis, Ricky Mulvey, and Mary Long
Guest: Asit Sharma
Podcast Description: Motley Fool Money is a daily podcast tailored for stock investors, offering long-term perspectives on business news with The Motley Fool's investment analysts. Weekday episodes focus on business insights, while weekend shows feature investing classes and in-depth interviews.

Introduction

In the episode titled "What Drives Nvidia’s Growth?", host Ricky Mulvey engages in a deep dive discussion with guest Asit Sharma about Nvidia's remarkable year-over-year growth, primarily driven by its dominance in the data center sector. The conversation explores several facets of Nvidia's success, future prospects, and addresses current market valuations and challenges.

Nvidia's Growth Drivers

Rising Data Center Revenue

Nvidia has showcased an impressive sales growth of 78%, nearly reaching an 80% increase year-over-year, with the majority stemming from its data center revenue.

Ricky Mulvey (00:27): “On the surface, if we don't look at the stock reaction, it seems like Nvidia shot the lights out year over year. Sales growth of 78%, almost 80%.”

Sources of Data Center Growth

Asit Sharma elucidates the dual sources fueling this surge:

1. Hyperscalers:

   • Major companies like Microsoft (Azure) and Amazon (AWS) are acquiring Nvidia's GPUs, particularly the Blackwell GPU complexes, to enhance their AI service offerings.

2. Enterprise Adoption:

   • Fortune 500 and Fortune 1000 companies are increasingly integrating AI capabilities internally, investing in GPUs to support their own AI initiatives rather than solely relying on cloud services.

Asit Sharma (01:00): “They're buying GPUs for their own purposes. That's becoming a little bit bigger, bigger business over time than it was at the outset of the generative AI explosion a couple of years ago.”

Forces Affecting Nvidia: Compute Costs and AI Model Complexity

Balancing Cost Reduction with Increased Compute Demand

Ricky Mulvey highlights two significant forces impacting Nvidia:

1. Increased Compute Demand:
   Large language models (LLMs) are now required to perform more complex tasks, demanding greater computational power per inference.

2. Declining Inference Costs:
   The cost associated with performing inferences has decreased substantially, making advanced AI tasks more economically feasible.

Ricky Mulvey (02:58): “We've driven a 200x reduction in inference costs in just the last two years and also pointed out that the amount of tokens generated for an inference compute is already 100 times more than the one shot example.”

Asit Sharma's Insight: Scaling Laws and Nvidia's Strategy

Asit argues that these forces are complementary, not opposing. Nvidia's ability to scale its computational capabilities aligns with the growing demands of AI models. The company's focus on scaling compute ensures it remains at the forefront as AI applications become more sophisticated.

Asit Sharma (04:45): “Nvidia is winning on volume... architecting for more compute that will handle more and more of these scaling laws.”

Nvidia's Networking Revenue

Understanding the Networking Segment

While Nvidia's data center business thrives, its networking revenue has experienced a decline. This segment involves the efficient transmission of data across physical spaces, essential for AI networks.

Transition to New Networking Standards

Nvidia's acquisition of Mellanox introduced a competitive data transmission standard superior to traditional Ethernet in some AI applications. Currently, Nvidia is transitioning to NVLink72 combined with Spectrum X, enhancing networking capabilities to support next-generation GPUs, leading to a temporary dip in networking revenue.

Asit Sharma (05:37): “They have a transition quarter as they make their networking more capable for the next generations of Blackwell GPUs, they're going to see like a slight drop off in this networking revenue.”

Future Prospects

Nvidia anticipates a rebound in networking revenue as these new standards mature and support the increasing computational needs of advanced AI systems.

Jensen Huang's Vision: The Next AI Waves

Nvidia CEO Jensen Huang painted an ambitious future with three emerging AI waves:

1. Agentic AI for Enterprise:
   Empowering large companies to deploy AI agents internally, enhancing productivity and operational efficiency.

2. Physical AI for Robotics:
   Advancing robotics through AI, enabling machines to interact more effectively with the physical world.

3. Sovereign AI:
   Assisting governments in developing in-house AI capabilities to strengthen their own technological ecosystems.

Ricky Mulvey (07:50): “The next wave is coming. Agentic AI for enterprise, physical AI for robotics and sovereign AI... we can see them.”

Asit Sharma's Breakdown of the Vision

Asit delves deeper into each component:

• Agentic AI for Enterprise:
  Facilitates AI-driven workflows within large organizations, potentially transforming job functions and productivity.

• Physical AI for Robotics:
  Utilizes massive data sets and simulations to train robots for real-world applications, supported by Nvidia's Cosmos platform.

• Sovereign AI:
  Targets governmental bodies worldwide, offering end-to-end AI solutions that allow nations to develop and control their AI technologies independently.

Asit Sharma (09:10): “Agentic AI... Physical AI for robots... Sovereign AI... could be the transition market outside of these few big names that everyone knows.”

Nvidia's Valuation: Is the Dip a Buying Opportunity?

Current Valuation Concerns

Ricky Mulvey raises a critical question about Nvidia's valuation, noting its forward earnings multiple has decreased from 50x to 28x.

Ricky Mulvey (11:36): “28 times forward earnings seems awfully mature. Yes, it's a multi-trillion dollar business, but is this a dip worth buying?”

Asit Sharma's Perspective on Valuation

Asit acknowledges the challenge of justifying Nvidia's high valuation given its size but emphasizes the company's proven ability to anticipate and shape future technological trends. He highlights Nvidia's strategic positioning and continuous innovation as reasons the stock may still hold significant long-term value.

Asit Sharma (12:15): “This company has exhibited an uncanny knack for understanding what the future looks like... I wouldn't be surprised if a dormant company that people don't get excited about anymore, called Nvidia sometime in 2032, surprises the market again.”

Applovin's Story: From Success to Short Seller Allegations

Applovin's Rise in the Tech Market

Applovin has emerged as a notable success story in 2024, outperforming peers like Palantir. The company specializes in programmatic advertising for mobile games, effectively acting as a "Trade Desk for mobile gaming."

Ricky Mulvey (14:02): “Applovin... was the most successful tech company in the stock market of 2024.”

Short Seller Allegations

Despite its success, Applovin faces scrutiny from short sellers, particularly a firm named Fuzzy Panda, which has leveled serious allegations:

1. Data Misuse:
   Claims that Applovin is reverse engineering Meta's advertising data to optimize its own ad strategies.

2. Deceptive Advertising Practices:
   Accusations that ads mislead users into downloading games through deceptive UI elements.

3. Tracking Children:
   Allegations that Applovin's ads improperly track minors within mobile gaming platforms.

Ricky Mulvey (14:35): “...including... placing a little X above a game where you think you're closing out of the ad, but really you end up opening the app store to download the game... tracking children within these mobile gaming segments.”

Management's Response vs. Short Claims

Applovin's CEO, Adam Farogi, has publicly refuted these claims, asserting that every download results from explicit user choices and denying any malicious intent. Asit Sharma examines these conflicting narratives, suggesting that while some allegations may be overblown, aspects like user tracking warrant closer examination.

Asit Sharma (16:39): “Short sellers provide a service to the investment community in that they can point out what they think or allege is misunderstood by investors... I think it's probably going to be easily refuted by the company.”

Conclusion

The episode of Motley Fool Money offers a comprehensive analysis of Nvidia's impressive growth trajectory, driven by its strategic positioning in the data center and AI markets. Asit Sharma provides insightful perspectives on the company's future prospects, balanced against its current high valuation. Additionally, the discussion on Applovin highlights the complexities and challenges faced by tech companies amidst market scrutiny and short seller pressures. Investors are encouraged to consider these multifaceted insights when evaluating Nvidia and Applovin as potential investments.

Ricky Mulvey (22:51): “Don’t buy or sell stocks based solely on what you hear... Motley Fool only picks products that it would personally recommend to friends like you.”

Notable Quotes:

• Ricky Mulvey (00:27): “Sales growth of 78%, almost 80%.”
• Asit Sharma (01:00): “They're buying GPUs for their own purposes...”
• Ricky Mulvey (02:58): “200x reduction in inference costs...”
• Asit Sharma (05:37): “...they're going to see like a slight drop off in this networking revenue.”
• Ricky Mulvey (07:50): “The next wave is coming...”
• Asit Sharma (12:15): “I wouldn't be surprised if... called Nvidia sometime in 2032, surprises the market again.”
• Ricky Mulvey (14:35): “...tracking children within these mobile gaming segments.”
• Asit Sharma (16:39): “I think it's probably going to be easily refuted by the company.”

This summary encapsulates the critical discussions from the episode, providing a clear understanding of Nvidia's growth dynamics, future aspirations, valuation debates, and the emerging challenges faced by Applovin in the tech marketplace.