Compute economics tool

When Does AI Compute Spend Exceed Payroll?

Nvidia's Bryan Catanzaro said his applied deep learning team now spends more on compute than on the employees using it. Use this calculator to test when that crossover happens for your team, and whether the productivity uplift pays back the compute bill.

Annual payroll
Annual compute
Compute vs payroll
Uplift value / yr
ROI on compute
Break-even
Net annual value (uplift minus compute)Your current compute spendBreak-even line

How the math works

Annual payroll = headcount times fully loaded salary. Annual compute = 12 times monthly compute. Uplift value = headcount times revenue per employee times productivity uplift. ROI = (uplift value minus annual compute) divided by annual compute. Break-even is the number of months of uplift needed to cover a year of compute spend.

Verified fact: Bryan Catanzaro, Nvidia's VP of applied deep learning, publicly stated that his team's compute costs now far exceed employee costs (reported by Forbes, via Unusual Whales).

Illustrative estimates: the default values here — a 40 person team, $280k fully loaded salary, $1.2M/month compute, 25% uplift, $900k revenue per employee — are plausible enterprise AI figures, not disclosed Nvidia numbers.

Results are educational only and not financial advice.

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