CloudGPU vs Oracle Cloud: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and Oracle Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

CloudGPU

Oracle Cloud

Provider type

Specialist

Hyperscaler

Founded

2016

Headquarters

Austin, TX

Billing model

On-demand (per-minute)

Pay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)

Min commitment

None

None (pay-as-you-go)

Support tier

Community

Basic → Premier

Regions

1 regions

5 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths

Per-minute billing — pay only for what you use
Root SSH access on every instance
Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
Wide consumer and data-center GPU selection

Weaknesses

Smaller provider — limited scale vs hyperscalers
No enterprise SLAs or compliance certifications
Region information not published per instance

Best For

Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning

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CloudGPU Rating

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Oracle Cloud

Oracle Cloud Infrastructure (OCI) offers a wide GPU catalog across hyperscaler and bare-metal tiers: NVIDIA GB200 Grace Blackwell Superchips in superclusters scaling to 131,072 GPUs, HGX B200, H200, H100, L40S, A100, A10, and AMD Instinct MI355X, MI300X, and MI325X. Bare-metal instances deliver full hardware performance with no virtualization overhead. RDMA cluster networking provides up to 3,200 Gbps bandwidth. NVIDIA DGX Cloud on OCI provides serverless AI training. OCI Supercluster delivers 20 exaflops aggregate. AMD MI355X available via try-before-you-buy program.

Strengths

GB200 NVL72 superclusters scaling to 131,072 GPUs
AMD MI355X — 192 GB VRAM for large-model inference
Bare-metal instances — no virtualization overhead
NVIDIA DGX Cloud on OCI for serverless AI training
3,200 Gbps RDMA cluster networking
AMD MI300X and MI325X available alongside NVIDIA catalog

Weaknesses

Smaller ecosystem and fewer ML tooling integrations vs AWS/GCP
Support quality inconsistent outside enterprise tiers
AMD GPU availability limited vs NVIDIA options

Best For

Hyperscale AI training on GB200 superclustersLarge-model inference on AMD MI300X/MI355X (192 GB VRAM)Oracle database workloads with AICost-sensitive enterprise teams comparing hyperscaler pricing

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Live GPU Pricing

GPU Model

CloudGPU /hr

Oracle Cloud /hr

A100 80GB

$1.59

$4.00

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

CloudGPU — 1 regions

Global

Oracle Cloud — 5 regions

us-ashburn-1us-phoenix-1eu-frankfurt-1ap-tokyo-1ap-sydney-1

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Provider pages

CloudGPU pricing and specs Oracle Cloud pricing and specs

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

Oracle Cloud

GB200 NVL72 superclusters up to 131,072 GPUs — NVIDIA and AMD GPU catalog across hyperscale and bare-metal

AttributeCloudGPUOracle Cloud

Provider typespecialisthyperscaler

Billing modelOn-demand (per-minute)Pay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)

Min commitmentNoneNone (pay-as-you-go)

Regions1 (Global)5 (us-ashburn-1, us-phoenix-1, eu-frankfurt-1, +2)

Support tierCommunityBasic → Premier

Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsHyperscale AI training on GB200 superclusters, Large-model inference on AMD MI300X/MI355X (192 GB VRAM)

Founded / HQ · 2016 · Austin, TX