NVIDIA forecasts revenue of $65B in fiscal 4Q

Key Concepts

• AI (Artificial Intelligence): A rapidly advancing technology with significant economic and societal implications.
• NVIDIA: A leading semiconductor company whose GPUs (Graphics Processing Units) are crucial for AI development and deployment.
• Cloud GPUs: Graphics Processing Units hosted in cloud data centers, essential for large-scale AI computations.
• Market Cap: The total market value of a company's outstanding shares.
• CAGR (Compound Annual Growth Rate): The average annual growth rate of an investment over a specified period.
• Monetization: The process of converting an asset or service into revenue.
• ROI (Return on Investment): A performance measure used to evaluate the efficiency of an investment.
• Hyperscalers: Large cloud computing providers like Amazon Web Services, Microsoft Azure, and Google Cloud.
• Networking: The infrastructure and technology that enables communication between devices and systems.
• Active Electric Cables: Specialized copper wiring used for high-speed networking in data centers.
• Rack Scale Architectures: Data center designs that scale computing resources at the rack level.

NVIDIA's Phenomenal Growth and Investor Sentiment

The transcript highlights the extraordinary performance of NVIDIA, with its earnings statements described as "phenomenal" and sales "off the charts." Cloud GPUs are reported as "sold out," indicating immense demand. Despite this, there's a prevailing narrative of "doom and gloom" from naysayers who label AI as an "existential threat" or an "economic and psychological threat." This skepticism is attributed, in part, to political influences.

Key Points:

• NVIDIA's Revenue Surge: Quarterly revenues for NVIDIA have dramatically increased from $7 billion in April 2022 to $57 billion in the most recent quarter. This represents an unfathomable growth rate.
• Investor Reaction: While AI's fundamental story is improving, investor sentiment has been volatile. Hedge funds reportedly went "extremely short" on NVIDIA, and financial media amplified fear, potentially setting the stage for a session where the stock was down before reporting, the "exact opposite" of its usual pre-earnings trend.
• Volatility and Shake-out: NVIDIA shares are typically volatile until about 30 days after earnings reports, a period where "they shake out" weaker investors.

Beth Kindig's Bullish Outlook on NVIDIA

Beth Kindig, Lead Tech Analyst at IO Fund, presents a strongly bullish perspective on NVIDIA, having been an early advocate for the stock. She emphasizes that the current concerns about an "AI bubble" are less significant than the "opportunity cost of not investing in AI."

Key Points:

• Surprising Performance: Kindig expresses continued surprise at NVIDIA's performance, citing expanding margins, large free cash flow margins, and a remarkable 25% sequential growth at its current scale.
• Buying Opportunity: When the market pulls back on strong earnings reports, Kindig views it as a "buying opportunity" due to the company's "extremely strong fundamentals" and a "picture perfect report." She contrasts this with jumping on a bandwagon, which she considers risky.
• AI's Early Stage: Kindig argues that AI is in its "early stage technology," much earlier than public markets are accustomed to. Monetization and profitability impacts are yet to be fully realized, suggesting that naysayers are "jumping in a little too early." Investors have an opportunity to get in before revenue and profits accelerate significantly.
• $20 Trillion Market Cap Prediction: Kindig predicts NVIDIA will reach a $20 trillion market cap by the end of the decade, representing a 36% CAGR over the next five years. She notes that NVIDIA's consistent quarterly growth, including 25% quarter-over-quarter growth and a guidance of 15%, supports this projection.

Big Tech Spending and ROI Concerns

The transcript touches upon significant spending by "big tech" companies like Micron and Meta on AI infrastructure. However, the market is questioning the sustainability and necessity of this spending, as the return on investment (ROI) is not yet clearly justified by revenue and profits.

Key Points:

• Hyperscaler Investments: Hyperscalers are investing "hundreds of billions of dollars" in AI.
• ROI Justification: The market is waiting for revenue and profits to justify this massive spend.
• Future Expectations: Kindig believes that the ROI will materialize, and by this time next year, some of these numbers will be moving in ways not currently estimated by analysts. She specifically advises keeping an eye on Meta's EPS growth over the next year.

Emerging Opportunities: Credo Technology

Beyond NVIDIA, the transcript highlights Credo Technology as a significant player in the AI ecosystem. Credo supplies NVIDIA with "active electric cables," which are crucial copper wiring for networking within large AI systems.

Key Points:

• Credo's Role: Credo provides essential networking components for AI infrastructure.
• Networking Growth: NVIDIA's networking segment experienced a substantial 162% growth.
• Networking as an Investment Spot: Networking is identified as a prime area for investment due to the growth of rack scale architectures, which present a "networking problem that must be solved."
• Credo's Performance: Credo has seen a "monster move" in its stock and is potentially just getting started, benefiting from the 162% growth in NVIDIA's networking segment.

Conclusion

The transcript presents a strong case for the continued growth and potential of AI, with NVIDIA at its forefront. Despite prevailing skepticism and market volatility, the underlying fundamentals of companies like NVIDIA are exceptionally strong. The early stage of AI development offers significant opportunities for investors to get in before widespread monetization and profit expansion. Furthermore, the critical role of networking infrastructure, exemplified by Credo Technology, points to other promising investment avenues within the AI revolution. The key takeaway is that while naysayers focus on potential threats, the immense opportunity cost of not participating in AI's advancement is a more pressing concern for forward-thinking investors.