Reserved vs On-Demand Calculator
Find the break-even between paying on demand and committing to reserved capacity.
Provider profile
Oracle: AI GPU cloud profile
Oracle Cloud Infrastructure (OCI) rents NVIDIA GPU capacity in bare-metal and VM shapes for AI training and inference, often positioned on cluster networking and price-performance. ComputeTape tracks its public on-demand H100-class rate.
Oracle is one of the hyperscalers ComputeTape links to a public price page. This profile summarizes what is verified, the on-demand list rate we track, and where it fits — each figure tied to the public source.
H200 On DemandTracked offering
The configuration ComputeTape observes on the public price page.
What this is
What Oracle is
Oracle Cloud Infrastructure (OCI) rents NVIDIA GPU capacity in bare-metal and VM shapes for AI training and inference, often positioned on cluster networking and price-performance. ComputeTape tracks its public on-demand H100-class rate.
- A hyperscale cloud (OCI) offering NVIDIA GPU bare-metal and VM shapes for AI.
- Positioned on cluster networking and competitive price-performance for large GPU jobs.
Tracked offering
The offering ComputeTape tracks
ComputeTape tracks one public on-demand configuration per provider. The list rate is the published on-demand price observed on the provider price page. It is a starting point, not a quote; negotiated, committed, and reserved terms differ.
| Service | GPU | Mode | Region | On-demand list rate | Availability | Observed | Last checked | Source |
|---|---|---|---|---|---|---|---|---|
| OCI Compute | H200 | On Demand | us-ashburn-1 | $10.00 / GPU-hr | Listed as available (limited) | May 15, 2026 | May 28, 2026 | Oracle pricing page |
List rate is the public on-demand price, not a quote. Confirm the live figure on the source page before budgeting.
Where it fits
Where it fits
How ComputeTape reads this provider against the rest of the directory.
- Teams running large multi-GPU training that want bare-metal access and fast interconnect.
- Buyers comparing hyperscaler price-performance who are not locked to AWS or Azure.
Best-fit notes are ComputeTape interpretation, not provider guarantees.
Watch-outs
Watch-outs
Things to confirm for your own workload before you commit.
- Region and shape availability for the newest GPUs varies; confirm capacity for your region before committing.
- Published rates are a starting point; large allocations are usually arranged through committed contracts.
Committed capacity
On-demand vs committed capacity
ComputeTape tracks the public on-demand H100-class rate. Committed-use discounts and capacity reservations are negotiated separately and are not reflected in the list price above.
On-demand vs reserved vs spot GPU pricing
Compare access terms, savings, and interruption risk.
Sources and checks
Sources and checks
This profile renders only while the underlying row stays approved and within the 30-day recheck window. If a recheck lapses, the row and this profile drop from the directory until it is reviewed again.
Oracle public price page
The provider-published page the tracked rate is read from.
Evidence labels reference
The rights, freshness, and confidence labels applied to every row, defined and explained.
- Last checked: May 28, 2026.
- Price observed: May 15, 2026.
- Rights: links a public price page on the provider site.