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Compare GPU and LLM inference API pricing between DigitalOcean and Theta EdgeCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.78/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Theta EdgeCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • DigitalOcean | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • DigitalOceanTheta EdgeCloud | ↑+$0.78(+21.1%) | |||
H200 141GB VRAM • $4.47/hour Updated: 9/13/2026 $3.69/hour Updated: 9/13/2026 ★Best Price Price Difference:↑+$0.78(+21.1%) | ||||
HGX B300 288GB VRAM • DigitalOcean | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • DigitalOcean | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • DigitalOcean | Not Available | — | ||
MI355X 288GB 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 • | ||||
Tesla T4 16GB VRAM • Theta EdgeCloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Theta EdgeCloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOcean | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • DigitalOceanTheta EdgeCloud | ↑+$0.78(+21.1%) | |||
H200 141GB VRAM • $4.47/hour Updated: 9/13/2026 $3.69/hour Updated: 9/13/2026 ★Best Price Price Difference:↑+$0.78(+21.1%) | ||||
HGX B300 288GB VRAM • DigitalOcean | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • DigitalOcean | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • DigitalOcean | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • DigitalOcean | Not Available | — | ||
MI355X 288GB 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 • | ||||
Tesla T4 16GB VRAM • Theta EdgeCloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Theta EdgeCloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | DigitalOcean | Theta EdgeCloud | Input Diff ↕ |
|---|---|---|---|
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $1.00 in $5.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $2.00 in $10.00 out | Not available | — |
DeepSeek | $0.250 in $0.800 out | Not available | — |
DeepSeek | $0.068 in $0.168 out | Not available | — |
DeepSeek | $0.870 in $1.74 out | Not available | — |
Google | $0.180 in $0.500 out | Not available | — |
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.
Combines traditional cloud GPUs via Google Cloud and AWS with 30,000+ community-operated edge nodes for flexible compute.
Supply-demand driven pricing where node operators set rates and users select GPUs based on availability and cost.
Routes heavy training jobs to cloud/datacenter GPUs and distributes parallelizable inference across edge nodes.
Reroutes jobs to healthy nodes if a community node goes offline mid-task, ensuring workload continuity.
Docker-based job execution with Jupyter Notebook and SSH access for flexible development environments.
On-demand model inference APIs and dedicated AI model serving with support for popular generative AI models.
On-demand GPU instances from distributed edge nodes and cloud partnerships.
AI-specific services and APIs for model deployment and inference.
Specialized video processing and streaming services.
Dynamic pricing set by node operators in a supply-demand GPU marketplace.
Hourly billing with no long-term commitments or contracts required.
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.
Sign up at thetaedgecloud.com to access the GPU marketplace dashboard.
Explore available H100, A100, 4090, and 3090 instances with marketplace pricing from node operators.
Choose a GPU instance and configure your containerized workload with Docker, Jupyter Notebook, or SSH access.
Launch your workload with automatic failover and monitor progress through the dashboard.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
30,000+ globally distributed edge nodes with cloud capacity via Google Cloud and AWS regions.
Documentation at docs.thetatoken.org, dashboard monitoring, and community support channels.