Say a two-person AI team is pricing one workstation this week.
Same card they scoped in January, same use case.
The quote comes back 84% higher and nobody on the team changed the plan.
That is the 5060 Ti 16GB, the card most small builds reach for.
The RTX 5080 now carries a 120% premium over its original MSRP.
The 5070 Ti and 5070 are up 67% and 64%.
The RTX 5090 sells above $9,000 in the US, 370% over launch, per Wccftech's read of TechSpot's price tracking.
Average US GPU prices rose 36% in a single month, driven by the component pricing squeeze underneath them.
So the decision that gates whether that project starts this quarter is where the compute comes from.
Renting it changes the arithmetic completely.
That is the part we sell.
RTX 3090 capacity on BHK Cloud runs at $0.15/hr.
A small team can stand up the model, run the benchmark on real weights, and ship the demo without tying capital to a single board.
Buy Now Pay Later means zero upfront and payment after one month, so the test does not touch cash flow before it proves anything.
Pricing is at https://ai.bhkcloud.com/?utm_source=linkedin&utm_medium=social&utm_campaign=bhk_social_2026w45&utm_content=morning What did your last GPU purchase cost, and which month did you buy it?
Originally posted on linkedin_personal