The Problem Isn't GPU Performance. It's GPU Utilization. A dedicated GPU running at 100% capacity can be a great investment.
18 Jun 2026, 08:00
The Problem Isn't GPU Performance. It's GPU Utilization!
A dedicated GPU running at 100% capacity can be a great investment. A dedicated GPU sitting idle is an expensive one.
That's the challenge many AI teams face.
Workloads aren't always predictable. Training demand changes. Projects evolve. Priorities shift.
Cloud infrastructure allows teams to match compute resources to actual demand instead of paying for capacity they aren't using.
When training requirements increase, additional GPUs can be provisioned in minutes. When workloads decrease, those resources can be released just as quickly.
The conversation shouldn't be cloud versus dedicated infrastructure. It should be whether your compute strategy matches the way your team actually works.