AI compute market signals and learning

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 the public on-demand configurations published on the provider price page — one row per GPU. The list rate is the published on-demand price observed there. It is a starting point, not a quote; negotiated, committed, and reserved terms differ.

ServiceGPUModeRegionOn-demand list rateAvailabilityNo change inLast checkedConfidenceSource
OCI ComputeH200On Demandus-ashburn-1$10.00 / GPU-hrListed as available (limited)63 daysJul 17, 2026HighOracle 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

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

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.

Reserved vs On-Demand Calculator

Find the break-even between paying on demand and committing to reserved capacity.

On-demand vs reserved vs spot GPU pricing

Compare access terms, savings, and interruption risk.

Sources and checks

This profile renders only while the underlying row stays reviewed for display 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.

Evidence labels reference

The rights, freshness, and confidence labels applied to every row, defined and explained.

  • Last checked: Jul 17, 2026.
  • No change in: 63 days (how long the current H200 list price has held in our records).
  • Source confidence: High.
  • Rights: links a public price page on the provider site.