AI's Plummeting Prices Are a Software Story, Not a Hardware One
The article discusses the significant drop in AI inference costs, primarily driven by software advancements rather than hardware improvements. Local, open-weight models are becoming increasingly competitive with frontier models, allowing users to run sophisticated AI on older hardware. This shift has implications for pricing and accessibility in the AI landscape.
- ▪AI inference costs have dropped by 70-90% per year, a trend referred to as 'LLMflation'.
- ▪Local models on commodity hardware are now viable alternatives to more expensive frontier models.
- ▪The author experimented with an open-weight model on a consumer-grade GPU, achieving satisfactory results.
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AI's Plummeting Prices Are a Software Story, Not a Hardware OneThis has made local, open-weight models a real competitor to the frontierJames WangMay 19, 20263436ShareWhy is model inference getting cheaper? How did I drop a soon-to-be $2,000+/month bill for AI agents to next to nothing? And why are local models on commodity hardware potentially “good enough” for most people?There are two macro trends here that feed directly into each other.First, AI inference costs, as I’ve mentioned before, have been dropping 70-90% per year.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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