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Compare GPU and LLM inference API pricing between DigitalOcean and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | DigitalOcean Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • DigitalOcean | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOcean | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.
Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.
GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.
Transparent per-hour pricing with no hidden fees or complex instance families.
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Sign up at digitalocean.com and verify your account.
Select GPU Droplets from the Create menu, choose your GPU type and configuration.
Select a pre-configured AI/ML image or a base OS image.
Launch your GPU Droplet and connect via SSH to start working.
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.