
Nvidia Scales Back Investment In OpenAI And Anthropic From $100 Billion To $30 Billion
Key Takeaways
- Jensen Huang said Nvidia will stop injecting tens of billions into LLM leaders.
- Nvidia scaled back its investment plans from $100 billion to a smaller final figure.
- Hardware suppliers' era of mega funding rounds for generative AI appears to be ending.
Nvidia scales back LLM support
Nvidia announced a substantial scaling back of a planned hardware-investment initiative for leading large language model (LLM) developers.
“The era of mega funding rounds for generative AI players by hardware suppliers appears to be coming to an end”
It reduced proposed support for OpenAI from an initial $100 billion concept to a final $30 billion commitment.

Jensen Huang framed the change at the Morgan Stanley TMT conference, saying the window to pour "tens of billions" into LLM leaders is closing.
ZDNet characterises this move as signalling that the era of mega funding rounds from hardware suppliers is ending.
Nvidia and LLM valuations
ZDNet links Nvidia's decision to the rapidly rising valuations of LLM startups, which make large equity stakes both extremely costly and less strategically necessary as those firms mature.
The article cites Reuters' reporting that OpenAI's potential IPO valuation could be as high as $1 trillion, illustrating why the economics of giant equity investments by chipmakers are becoming less attractive.

Nvidia diversifying customers
The move represents a strategic shift at Nvidia toward diversifying its customer base beyond its two largest AI customers and stepping away from concentrated, reciprocal investments.
“The era of mega funding rounds for generative AI players by hardware suppliers appears to be coming to an end”
ZDNet frames this as responsive to governance and market concerns about "circular" investments—where chipmakers fund startups that then buy their chips—and as raising broader questions about sector health and independence.
LLM business implications
ZDNet outlines business-model and user impacts.
It says LLM companies will face increased pressure to demonstrate financial viability without subsidies from hardware partners.

This could lead providers to pass compute costs more directly into subscription fees and moderate the industry’s emphasis on raw model scale.
Nvidia’s pullback is also presented as an implicit validation that firms like OpenAI and Anthropic are sufficiently mature to stand on their own and pursue public markets.
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