DigitalOcean vs RunPod

Compare GPU pricing, features, and specifications between DigitalOcean and RunPod cloud providers. Find the best deals for AI training, inference, and ML workloads.

DigitalOcean logo

DigitalOcean

Provider 1

7
GPUs Available
Visit Website
RunPod logo

RunPod

Provider 2

31
GPUs Available
Visit Website

Comparison Overview

32
Total GPU Models
DigitalOcean logo
7
DigitalOcean GPUs
RunPod logo
31
RunPod GPUs
6
Direct Comparisons

Average Price Difference: $0.97/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 32Both available: 6DigitalOcean: 7RunPod: 31
Showing 15 of 32 GPUs
Last updated: 3/27/2026, 5:09:15 AM
A100 PCIE
40GB VRAM •
Not Available
RunPodRunPod
$0.60/hour
Updated: 3/27/2026
Best Price
A100 SXM
80GB VRAM •
Not Available
RunPodRunPod
$0.79/hour
Updated: 3/27/2026
Best Price
A2
16GB VRAM •
Not Available
RunPodRunPod
$0.06/hour
Updated: 3/26/2026
Best Price
A30
24GB VRAM •
Not Available
RunPodRunPod
$0.11/hour
Updated: 3/11/2026
Best Price
A40
48GB VRAM •
Not Available
RunPodRunPod
$0.40/hour
Updated: 6/3/2025
Best Price
B200
192GB VRAM •
Not Available
RunPodRunPod
$5.98/hour
Updated: 3/27/2026
Best Price
H100
80GB VRAM •
Not Available
RunPodRunPod
$1.50/hour
Updated: 3/14/2026
Best Price
H100 NVL
94GB VRAM •
Not Available
RunPodRunPod
$1.40/hour
Updated: 3/27/2026
Best Price
H100 PCIe
80GB VRAM •
Not Available
RunPodRunPod
$1.35/hour
Updated: 3/27/2026
Best Price
H100 SXM
80GB VRAM •
DigitalOceanDigitalOcean
$2.99/hour
8x GPU configuration
Updated: 3/27/2026
RunPodRunPod
$1.50/hour
Updated: 3/27/2026
Best Price
Price Difference:+$1.49(+99.3%)
H200
141GB VRAM •
DigitalOceanDigitalOcean
$3.44/hour
Updated: 3/27/2026
Best Price
RunPodRunPod
$3.59/hour
Updated: 3/27/2026
Price Difference:$0.15(4.2%)
HGX B300
288GB VRAM •
Not Available
RunPodRunPod
$6.19/hour
Updated: 3/27/2026
Best Price
L40
40GB VRAM •
Not Available
RunPodRunPod
$0.43/hour
Updated: 6/3/2025
Best Price
L40S
48GB VRAM •
DigitalOceanDigitalOcean
$1.57/hour
Updated: 3/27/2026
RunPodRunPod
$0.40/hour
Updated: 3/27/2026
Best Price
Price Difference:+$1.17(+292.5%)
MI300X
192GB VRAM •
DigitalOceanDigitalOcean
$1.99/hour
Updated: 3/27/2026
Best Price
Not Available

Features Comparison

DigitalOcean

  • GPU Droplets

    On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.

  • One-Click ML Frameworks

    Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.

  • Integrated Platform

    GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.

  • Simple Pricing

    Transparent per-hour pricing with no hidden fees or complex instance families.

RunPod

  • Secure Cloud GPUs

    Access to a wide range of GPU types with enterprise-grade security

  • Pay-as-you-go

    Only pay for the compute time you actually use

  • API Access

    Programmatically manage your GPU instances via REST API

  • Fast cold-starts

    Pods typically ready in 20-30 s

  • Hot-reload dev loop

    SSH & VS Code tunnels built-in

  • Spot-to-on-demand fallback

    Automatic migration on pre-empt

Pros & Cons

DigitalOcean

Advantages
  • Simple, transparent pricing with no surprises
  • Wide GPU selection including H100, H200, L40s, and AMD MI300X
  • No long-term commitments required
  • Well-known developer platform with strong community
Considerations
  • Newer to GPU cloud compared to specialized providers
  • Some high-end SKUs (MI325X, B300) require sales contact
  • Limited GPU data center regions

RunPod

Advantages
  • Competitive pricing with pay-per-second billing
  • Wide variety of GPU options
  • Simple and intuitive interface
Considerations
  • GPU availability can vary by region
  • Some features require technical knowledge

Compute Services

DigitalOcean

RunPod

Pods

On‑demand single‑node GPU instances with flexible templates and storage.

Instant Clusters

Spin up multi‑node GPU clusters in minutes with auto networking.

Pricing Options

DigitalOcean

RunPod

Getting Started

DigitalOcean

Get Started
  1. 1
    Create an Account

    Sign up at digitalocean.com and verify your account.

  2. 2
    Create a GPU Droplet

    Select GPU Droplets from the Create menu, choose your GPU type and configuration.

  3. 3
    Choose an Image

    Select a pre-configured AI/ML image or a base OS image.

  4. 4
    Launch and Connect

    Launch your GPU Droplet and connect via SSH to start working.

  1. 1
    Create an account

    Sign up for RunPod using your email or GitHub account

  2. 2
    Add payment method

    Add a credit card or cryptocurrency payment method

  3. 3
    Launch your first pod

    Select a template and GPU type to launch your first instance

Support & Global Availability

DigitalOcean

Global Regions

GPU Droplets are available in select US data centers with expansion planned.

Support

24/7 support via ticket system, extensive documentation, and active community forums.

RunPod