Oracle Cloud
GPU.RTX-PRO-6000.1
x86 · gpuOracle Cloud RTX PRO 6000 ×1 · x86 · in 21 regions.
Specs & pricing
Total /mo $3,287/mo
Compute /mo $3,285/mo
40G disk $1.7/mo
per GPU/mo $3,285
vCPU—
Memory—
Archx86
GPURTX PRO 6000 ×1
40G diskSSD · +$1.7/mo
Regions21
Familygpu
Total · incl. 40G disk
| By billing type | Min/mo | Avg/mo | Max/mo | Regions |
|---|---|---|---|---|
| On-demand | $3,287 | $3,287 | $3,287 | 21 |
Same spec on other clouds
No same-spec instance found on other clouds.
Price by region · Total · incl. 40G disk
| 🇿🇦 Johannesburg af-johannesburg-1 | $3,287 | — | — | — |
| 🇮🇳 Mumbai ap-mumbai-1 | $3,287 | — | — | — |
| 🇯🇵 Osaka ap-osaka-1 | $3,287 | — | — | — |
| 🇰🇷 Seoul ap-seoul-1 | $3,287 | — | — | — |
| 🇸🇬 Singapore ap-singapore-1 | $3,287 | — | — | — |
| 🇦🇺 Sydney ap-sydney-1 | $3,287 | — | — | — |
| 🇯🇵 Tokyo ap-tokyo-1 | $3,287 | — | — | — |
| 🇨🇦 Toronto ca-toronto-1 | $3,287 | — | — | — |
| 🇳🇱 Amsterdam eu-amsterdam-1 | $3,287 | — | — | — |
| 🇩🇪 Frankfurt eu-frankfurt-1 | $3,287 | — | — | — |
| 🇪🇸 Madrid eu-madrid-1 | $3,287 | — | — | — |
| 🇮🇹 Milan eu-milan-1 | $3,287 | — | — | — |
| 🇫🇷 Paris eu-paris-1 | $3,287 | — | — | — |
| 🇨🇭 Zurich eu-zurich-1 | $3,287 | — | — | — |
| 🇦🇪 Dubai me-dubai-1 | $3,287 | — | — | — |
| 🇧🇷 Sao Paulo sa-saopaulo-1 | $3,287 | — | — | — |
| 🇬🇧 London uk-london-1 | $3,287 | — | — | — |
| 🇺🇸 N. Virginia us-ashburn-1 | $3,287 | — | — | — |
| 🇺🇸 Chicago us-chicago-1 | $3,287 | — | — | — |
| 🇺🇸 Phoenix us-phoenix-1 | $3,287 | — | — | — |
| 🇺🇸 Silicon Valley us-sanjose-1 | $3,287 | — | — | — |
All are the total monthly price = machine (effective hourly ×730) + a 40G system disk (~$1.7/mo, representative SSD estimate): the lowest total per billing type per region. Normalized to USD — verify on each cloud's official page.
FAQ
How much does GPU.RTX-PRO-6000.1 cost on Oracle Cloud?
GPU.RTX-PRO-6000.1 runs from about $3,287/mo (Linux on-demand + a 40G system disk), based on its cheapest of 21 regions.
Is GPU.RTX-PRO-6000.1 cheaper on another cloud?
No same-spec instance was found on other clouds in our dataset.