CloudGPU vs DigitalOcean: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

CloudGPU

DigitalOcean

Provider type

Specialist

Founded

2011

Headquarters

New York, NY

Billing model

On-demand (per-minute)

On-demand (per-second), 12-month Reserved, Spot

Min commitment

None

None (on-demand)

Support tier

Community

Basic → Premium

Regions

1 regions

3 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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DigitalOcean

DigitalOcean GPU Droplets offer NVIDIA HGX B300, HGX H200, HGX H100, AMD Instinct MI325X, MI350X, MI355X, RTX 6000 Ada, RTX 4000 Ada, and L40S instances with simple per-second billing (5-minute minimum). On-demand, 12-month reserved, and spot options available. Managed Agents Runtime Services (Private Preview). Inference Engine, Model Library, Evaluations. Paperspace (Gradient) integrated.

Strengths

HGX B300 (12-mo reserved) — competitive Blackwell pricing
AMD MI325X and MI300X — high-VRAM AMD options
Spot GPU Droplets: B300 and MI355X available
Full cloud ecosystem — Kubernetes, storage, databases, Inference Engine
Developer-friendly UX and simple per-second billing
Managed Agents Runtime Services (Private Preview)

Weaknesses

On-demand B300 not yet available (reserved/spot only)
Less ML-focused than specialist providers like CoreWeave
GPU catalog narrower than hyperscalers

Best For

Developers wanting simplicity and full cloud stackTeams already on DigitalOceanAMD GPU workloads (MI300X/MI325X/MI350X)Full-stack AI application development

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DigitalOcean Rating

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Live GPU Pricing

CloudGPU — Available GPUs

RTX 3090$0.29/hr

V100 32GB$0.35/hr

RTX 4090$0.39/hr

RTX 5090$0.69/hr

A100 40GB$0.79/hr

A100 80GB$1.59/hr

DigitalOcean — Available GPUs

RTX 4000 Ada$0.76/hr

RTX 6000 Ada$1.57/hr

L40S$1.57/hr

MI300X 192GB$1.99/hr

H100 80GB$3.44/hr

These providers do not share common GPU models in current live data. Prices shown are on-demand hourly rates.

Region Coverage

CloudGPU — 1 regions

Global

DigitalOcean — 3 regions

USEUAPAC

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Provider pages

CloudGPU pricing and specs DigitalOcean pricing and specs

Key differences

CloudGPU

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

DigitalOcean

HGX B300, H200, AMD MI325X, Spot B300

AttributeCloudGPUDigitalOcean

Provider typespecialistspecialist

Billing modelOn-demand (per-minute)On-demand (per-second), 12-month Reserved, Spot

Min commitmentNoneNone (on-demand)

Regions1 (Global)3 (US, EU, APAC)

Support tierCommunityBasic → Premium

Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsDevelopers wanting simplicity and full cloud stack, Teams already on DigitalOcean

Founded / HQ · 2011 · New York, NY