Fair value estimate raised 50% for ChatGPT chip maker Nvidia
We're raising our fair value estimate on Nvidia to $300, following the company's artificial intelligence-led acceleration.
Mentioned: NVIDIA Corp (NVDA)
Nvidia at a glance
Nvidia (NVDA) is the top designer of discrete graphics processing units (GPU) that enhance the visual experience on computing platforms. The firm's chips are used in a variety of end markets, including PC gaming and data centers.
Nvidia has experienced success in focusing its GPUs in burgeoning markets such as artificial intelligence (deep learning) and self-driving vehicles. Hyperscale cloud vendors have leveraged GPUs in training neural networks for uses such as image and speech recognition, large language models (ChatGPT), and other forms of generative AI.
- Fair Value Estimate: $300;
- Morningstar Uncertainty Rating: High;
- Morningstar Economic Moat Rating: Wide.
Nvidia earnings update
Wide-moat Nvidia reported first-quarter sales ahead of management’s guidance, while providing guidance for the second quarter significantly above our prior estimates.
Management expects second-quarter revenue to be at a midpoint of $11 billion, which would be up 64% year over year and 53% sequentially. Yesterday shares in the company leapt from around $305 to $386 on the news.
We are raising our fair value estimate on Nvidia stock to $300 per share from $200 per share, as we raise our forecast for Nvidia’s data center segment revenue to grow at a 30% compound annual growth rate over the next five years (up from 19% previously).
AI drives demand for Nvidia chips
The uplift is primarily driven by unsatiated demand for Nvidia’s latest H100 data center GPU.
Relative to its predecessor, the H100 is nine times faster in artificial intelligence training and up to 30 times faster in AI inferencing for transformer-based large language models such as Open AI’s ChatGPT (generative pretrained transformer). We believe AI models such as ChatGPT use thousands of GPUs to be trained, with competition between Microsoft, Google, and others supporting our updated growth projections.
First-quarter sales declined 13% year over year and grew 19% sequentially to $7.2 billion. Gaming sales fell 38% year over year to $2.2 billion as the firm continues to recover from elevated channel inventories. Management believes the channel inventory correction for gaming GPUs is largely in the rearview mirror, which we agree with.
Data center sales grew 14% year over year to $4.3 billion, with strength across cloud service providers, consumer internet, and enterprise customers that are all pursuing various generative AI models. Gross margins rose 130 basis points sequentially to 64.6% thanks to a richer mix led by data center.
Nvidia’s outlook boosted by data center demand
We believe the data center segment will be the primary driver of management’s rosy second-quarter revenue outlook of $11 billion. Specifically, we think the robust demand for its H100 GPUs will drive second-quarter data center revenue to $7.6 billion, which would be up 100% year over year.
Furthermore, we think Nvidia will be able to maintain this level of data center sales into the second half of the year thanks to improved supply at TSMC. We now expect Nvidia to double fiscal 2023 data center revenue of $15 billion by fiscal 2025 (calendar 2024) versus our prior estimate of fiscal 2027.
Although we see Nvidia has being the dominant force in AI training and inference for generative AI, the GPU leader’s success is likely to attract intensified competition from AMD, Intel, chip startups, as well as large data center customers themselves that are increasingly designing their own chips to handle AI workloads.