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Compare GPU and LLM inference API pricing between DigitalOcean and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.79/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Zettabyte Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • DigitalOceanZettabyte | 8x GPU | ↑+$0.79(+35.9%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $2.20/hour Updated: 7/13/2026 ★Best Price Price Difference:↑+$0.79(+35.9%) | ||||
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 • | ||||
H100 SXM 80GB VRAM • DigitalOceanZettabyte | 8x GPU | ↑+$0.79(+35.9%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $2.20/hour Updated: 7/13/2026 ★Best Price Price Difference:↑+$0.79(+35.9%) | ||||
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 • | ||||
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.
Launch GPU instances quickly and scale to hundreds on-demand.
Designed for large-scale training with predictable capacity.
Custom clusters tailored for specific security and procurement needs.
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Ensures 99.9% uptime SLA with transparent incident reporting.
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.
Access the main platform to explore available services.
Select between on-demand, reserved clusters, or private cloud.
Provide necessary information to create a user account.
Fill in details for account management and payment.
Follow prompts to deploy your chosen compute resource.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.