Cloud GPU Cost Calculator

Pick a GPU and describe your job — hours of training or millions of inference tokens — and see the total rental cost, plus a side-by-side of what every major cloud provider charges for that card. Find the cheapest place to run it.

🔒 100% in-browser — nothing you enter is uploaded

1. What are you running?

Cards running in parallel.
How long the job runs, per card.
You still pay for idle time; this scales the effective work, not the bill.

2. Which GPU & pricing tier?

Rates are representative on-demand marketplace prices, verified July 2026.
Your job — at the mid rate
$0
total for this run
  • GPU-hours billed0
  • Effective rate$0/hr
Cheapest provider
$0
—
  • You save vs priciest$0
  • Spread across providers—
Provider $/GPU-hr Job total vs cheapest

Rates are representative on-demand prices per GPU-hour, verified July 2026 — marketplace and spot rates move constantly, so confirm live at RunPod, Vast.ai, Lambda, and AWS. Marketplace tiers (Vast, RunPod Community) are cheapest but carry no uptime guarantee; managed and hyperscaler tiers cost more and add reliability, networking and support. This prices the rental only — storage, egress and setup time are extra.

Stop renting compute you already own the case for.

Every hour on a cloud GPU is a meter running. QADIR OS routes each job to the cheapest capable brain — your own hardware first, a rented GPU or a cloud API only when the work demands it — so you pay for the ceiling, not the floor.

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Renting GPU compute without overpaying

How much does it cost to rent an H100?

As of mid-2026 an NVIDIA H100 rents from roughly $1.99/hr on RunPod Community Cloud and about $2.39/hr on Secure Cloud, climbing to $2.99–$3.29/hr on Lambda, while marketplace hosts on Vast.ai can reach near $1.49/hr without an uptime guarantee. The calculator above multiplies whichever rate you pick by your job's GPU-hours and shows the cheapest provider for that card.

Should I rent a GPU or just call an LLM API?

For steady, bursty inference a per-token API is often simpler and cheaper because you pay nothing when idle. Renting a GPU wins for training and fine-tuning, for sustained batch inference where you keep the card busy, and whenever you need full control of the model weights and your data. Price the rental here, then compare it against a per-token API to see which side of the line your workload sits on.

What does spot or community pricing actually save?

Spot, community and interruptible instances typically cut the hourly rate by 40–70% versus on-demand, in exchange for the instance being reclaimable at short notice. They shine for checkpointed training and fault-tolerant batch jobs and are a poor fit for a live production endpoint. Toggle the spot discount above to see the effect on your total.

Why is the same GPU so much cheaper on one provider?

Marketplace platforms like Vast.ai and RunPod Community Cloud rent spare capacity from many hosts, so prices float low but reliability and support vary. Managed clouds and the big hyperscalers charge a premium for guaranteed uptime, fast interconnect, compliance and a support line. The table ranks every provider for your chosen GPU so the trade-off is explicit, not hidden.

Is my data sent anywhere?

No. This calculator runs entirely in your browser. Nothing you enter is uploaded, logged, or stored.