Google Directly Attacks Nvidia's Core Asset: Is the $4 Trillion Empire's Software Moat About to Collapse?

Google has just launched a direct attack on Nvidia's most valuable asset. This time, the battlefield isn't hardware chips but the software ecosystem that Nvidia relies on for survival. If this move succeeds, Nvidia's $4 trillion empire could face repricing.

Key Point: Secret Project "TorchTPU" Exposed
According to the latest reports, Google is developing a secret project called "TorchTPU." Its core goal is to enable PyTorch (currently the world's most widely used AI framework) to run seamlessly on Google's TPU chips instead of Nvidia's GPUs.

Why This Could Shake Nvidia's Foundation
For a long time, PyTorch has been built around Nvidia's CUDA software. Wall Street analysts call CUDA "Nvidia's strongest defensive wall," which has also created the so-called "software prison" phenomenon:

• High Switching Costs: If companies want to leave Nvidia, rewriting code could take months, with engineering costs often reaching millions of dollars.
• Forced Lock-in: Even if Nvidia raises prices or faces supply shortages, developers are forced to stay due to the reluctance to rewrite code.
• Ecosystem Premium: Nvidia's high valuation (50x P/E ratio) isn't just due to hardware but also this hard-to-replace software lock-in.

Google Is Building an "Escape Route"

Google's TPU chips offer superior performance at lower costs, but in the past, they only supported Google's proprietary JAX framework, deterring developers. TorchTPU changes this:

1. Native Support: PyTorch can run natively on Google hardware without code rewrites.
2. Powerful Collaboration: Google is working closely with Meta, the creator of PyTorch.
3. Open-Source Strategy: Google plans to open-source the technology, aiming to break Nvidia's ecosystem dominance with a free approach.

Profound Impact on the AI Industry and Market
This software attack will strip Nvidia of its "only choice" status:

• Pricing Power Evaporates: When giants like Oracle, Microsoft, and OpenAI have alternatives, Nvidia will lose its pricing leverage over chips.
• Hardware Democratization: Once switching costs are removed, Nvidia will face direct competition from custom chips like Amazon's Trainium and Microsoft's Maia.
• Revaluation: If the software moat disappears, Nvidia could degrade from a "platform company" to a "pure hardware company," drastically compressing its premium valuation.

Key Timeline and Future Outlook
Google estimates it will take 12 to 18 months for TorchTPU to reach production-ready status.

The market hasn't fully priced in this risk yet, with investors still viewing it as ordinary hardware competition. However, this is an attack on the very foundation of Nvidia's valuation framework. By 2026, when TorchTPU officially launches, the myth that "Nvidia is unshakable" will face its ultimate test.

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Investing from Scratch (Andy)
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