Compare GPU cloud pricing across every major provider. Understand what you're actually buying. Make better decisions — whether you're training a model or running inference at scale.
Sourced from public pricing pages. Last verified March 2026.
⚠️ Prices are on-demand list prices. Spot, reserved, and committed-use rates can be significantly lower. Always verify on the provider's pricing page before purchasing.
Deep dives on GPU pricing, provider economics, and what it all means for your budget.
The H100 is roughly 2–3× faster than the A100 for transformer training workloads. But it costs 60–80% more per hour. We break down when the upgrade actually pays off and when you're overpaying for specs you won't use.
Both are GPU-native neoclouds with strong H100 availability. But they serve different buyers in subtle ways. We compare reliability, pricing models, networking, and who actually belongs on each platform.
Most teams buy for training and then realize inference has completely different requirements. This guide walks through what changes — from GPU choice to networking to cost structure — when you move from training to production.
There's no shortage of GPU cloud comparison sites. Most are out of date, incomplete, or quietly sponsored. Ozmarx is different.
No providers pay to be ranked higher. No sponsored placements hidden in the data. Every comparison is made the same way.
A number without context is useless. Every price comes with an explanation of what it includes, what it doesn't, and when it makes sense.
SemiAnalysis-quality analysis, no subscription required. The AI compute market is complex enough — the information shouldn't be paywalled.
GPU pricing moves fast. We verify and update all pricing data weekly, and flag whenever a major provider changes their rates.
Whether you're an ML engineer or a procurement lead, we write for people who actually have to choose and buy — not industry observers.
Hyperscalers, neoclouds, and spot marketplaces — all in one place. No more visiting 12 different pricing pages to make a decision.