Legendary or Back to the Normal?

NVIDIA (NVDA) has been elevated to almost mythical status in the era of large language models (LLMs). The company’s GPUs powered the AI training boom, and its stock reflected the market’s belief that this dominance would persist indefinitely. For many, NVIDIA is nothing short of “legendary.”

But legends also face reality checks.

Why It’s Legendary

• Deep Moat in Training: NVIDIA’s CUDA ecosystem and GPU architecture remain unmatched for large-scale training. This software–hardware integration has created significant switching costs for customers.
• Catalyst of the AI Boom: The LLM hype cycle cemented NVIDIA as the default provider for AI infrastructure. Few companies in tech history have enjoyed this level of demand pull and pricing power.

The Normalization Risk

• Training Growth May Plateau: The extraordinary surge of GPU demand was front-loaded by the initial AI gold rush. Once hyperscalers build capacity, incremental growth in training may slow sharply.
• Inference May Not Be GPU-Centric: The bulk of AI’s long-term value lies in inference, and here NVIDIA’s grip is weaker. Custom chips from hyperscalers, specialized ASICs, and even CPU efficiency gains all threaten to shift workloads away from NVIDIA GPUs.
• Expectations Are Extreme: Current valuations price in perpetual hyper-growth. If training stalls and inference diversifies, NVDA could lose its “legendary” aura and re-rate back to more normal multiples.

Valuation Lens

Given these dynamics, a reasonable trading range might be between $70 and $140 per share.

• At the low end (~$70): markets reset NVIDIA as a highly profitable but maturing hardware provider, no longer enjoying runaway AI-fueled multiples.
• At the high end (~$140): NVIDIA retains its leadership in training while carving out meaningful share in inference and networking, justifying a premium but not the sky-high multiples of peak hype.

Bottom Line

NVIDIA has earned its legendary reputation through strong fundamentals and perfect timing. But as the AI market shifts from hype-driven capacity buildouts to sustainable deployment, the stock could just as easily retrace toward “normal” valuations as it could sustain its elevated status.