When engineers compare GPU clouds, the conversation usually starts with three familiar numbers:
GPU model
Hourly price
Those numbers matter.
But they do not always tell us whether a workload will actually finish efficiently.
What engineers actually consider when choosing GPU infrastructure, beyond hourly price and VRAM.
When engineers compare GPU clouds, the conversation usually starts with three familiar numbers:
GPU model
Hourly price
Those numbers matter.
But they do not always tell us whether a workload will actually finish efficiently.

The GPU hourly rate is the number everyone compares. It is also the number that tells you the least...

There are big variations among the same chips in AI clouds

Soaring demand for a limited supply of memory chips and other components has quickly pushed up prices for the Nvidia AI servers…

Which hardware should run this model? Most teams answer that question with habit instead of arithmetic. The model card says GPU.…

A 1024px diffusion render looks free in a demo notebook. In production the bill is cold starts, VRAM you rent by the hour, and…

GPU capacity is the tightest it has been in a while. Amazon just crossed three trillion dollars...