Scenario: two engineers run an agent product from a rented office.
The demo works, traffic arrives in bursts, and the GPU bill is the one line on the sheet that grows every month regardless of what they ship.
They plan the next two quarters and read the vendor roadmap.
Nvidia's DSX POD reference design puts seven Vera Rubin NVL72 racks inside an intermodal container, rated at 25 EFLOPs of AI inference at a time.
It leaves the factory assembled and tested, and still needs power, networking and a larger cooling system before it serves a request.
That container is the smallest unit of new capacity on the roadmap.
Neither engineer can fill it.
So they stop shopping for hardware and start buying hours.
RTX 3090 capacity at $0.15/hr, storage at $2.49/TB per month, brought up when traffic spikes and released when it drops.
The next experiment runs this week instead of next quarter, and the whole decision stays cheap to reverse.
Buy Now Pay Later, zero upfront, pay after 1 month.
When you size capacity, what is your smallest useful step that still counts as scaling?
https://ai.bhkcloud.com/?utm_source=linkedin&utm_medium=social&utm_campaign=bhk_social_2026w43&utm_content=evening
Originally posted on linkedin_personal