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X account @wujir0 stated that frontier models are not the true moats of OpenAI and Anthropic; the large-scale acquisition of NVIDIA hardware and its conversion into inference and enterprise AI capabilities are key.
Models have no moat.
Frontier models are what make OpenAI and Anthropic relevant and enable them to bring together talent and raise gargantuan amounts of money. But where does that money go? Compute to train more models?
The real moat is in access to frontier NVIDIA hardware in bulk and transition that into inference, or better yet enterprise AI solutions that are only possible with large scale hardware ownership.
Models have no moat.
Frontier models are what make OpenAI and Anthropic relevant and enable them to bring together talent and raise gargantuan amounts of money. But where does that money go? Compute to train more models?
The real moat is in access to frontier NVIDIA hardware in bulk and transition that into inference, or better yet enterprise AI solutions that are only possible with large scale hardware ownership.
The following is analysis, separate from reported facts. Verify important claims independently.
NVIDIA: This view holds that the large-scale acquisition and inference deployment of frontier GPU models are more competitively valuable than the models themselves. If validated by industry practice, it may support the narrative of demand for high-end AI hardware.
Entities to watch:NVIDIA. Observation period: medium term
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