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Compare GPU and LLM inference API pricing between DigitalOcean and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.00/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Thunder Compute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanThunder Compute | 8x GPU | ↑+$1.00(+50.3%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$1.00(+50.3%) | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB 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 A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Thunder Compute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanThunder Compute | 8x GPU | ↑+$1.00(+50.3%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$1.00(+50.3%) | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB 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 A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 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.
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
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 for an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Available in the US and possibly other regions.
24/7 support via email and chat.