u/Ill_Instruction_5070

Anyone else feeling like the AI space is turning into a “compute economy”?

Anyone else feeling like the AI space is turning into a “compute economy”?

A year ago everyone wanted to buy RTX 4090s. Now I see more devs just rent GPU instances for training and inference whenever they need them.

For AI workflows, it honestly makes sense:

• no massive upfront hardware cost

• instant scaling for bigger models

• access to H100/A100 hardware

• easier experimentation

But at the same time, cloud GPU pricing can get brutal fast.

Do you think the future of AI builders is owning local rigs or simply learning how to efficiently rent GPU power on demand?

▲ 4 r/cloudcomputing+1 crossposts

Is GPU-as-a-Service quietly becoming the new cloud gold rush?

With AI models getting larger every month, does it still make sense for startups and enterprises to buy expensive GPUs outright — or is on-demand GPU infrastructure the smarter move now?

Curious how teams are handling:

• multi-GPU scaling

• inference latency

• GPU underutilization

• rising NVIDIA costs

• vendor lock-in risks

Are we moving toward a future where computing is rented like electricity? Or will owning GPU clusters still be the competitive advantage?

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