Picture a startup that just shipped its first agent product.
Four people, a rented GPU pool, a launch thread.
Two weeks later the renewal lands and the finance lead asks why the AI line is bigger than the plan said.
As of this month, that answer has two parts.
At GTC Berlin on October 22, Jensen Huang described Nvidia's software licensing at about $2,000 per GPU per year to run the software that runs agents on AI factories.
Nvidia's existing AI Enterprise platform is listed at $4,500 per GPU for a one year subscription.
Tom's Hardware flags the gap in disclosure: Nvidia has not confirmed which GPUs the figure covers, which products sit inside it, or whether it overlaps with AI Enterprise.
It is a direction, not a confirmed price cut.
Which makes the planning harder.
A team can forecast a GPU hour.
A software line that scales with GPU count is tough to model, and it tends to show up after the model is already serving traffic.
The most controllable line is still the hardware hour.
Our RTX 3090s rent at $0.15/hr.
Buy Now Pay Later means zero upfront, then payment after one month, so a small team can push the agents through a real workload before the first invoice lands.
When your team scoped its last agent build, did the software cost come into the first budget conversation, or only after the invoice arrived?
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Originally posted on linkedin_personal