DeepSeek costs OpenCode Go user $1.14/day; dual DGX breaks even in 24 years

A discussion on Hacker News compares the cost-efficiency of using cloud-based AI models like DeepSeek versus running local hardware setups. Users argue that for most applications, the high upfront cost of enterprise-grade hardware makes local hosting economically unviable compared to low-cost API fees.
Why it matters
It illustrates the shifting economics of AI deployment, where cloud-based inference is currently significantly cheaper than self-hosting for many developers.
dax on X: "the average OpenCode Go user spent $1.14 per day on deepseek flash v4 this past week
the dual DGX setup people are running to do the same costs $10,000
it takes 24 years to break even at 10x the usage it takes 2.4 years" / X
the average OpenCode Go user spent $1.14 per day on deepseek flash v4 this past week
it takes 24 years to break even at 10x the usage it takes 2.4 years
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