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Compare GPU and LLM inference API pricing between DigitalOcean and Oblivus. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.53/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Oblivus Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanOblivus | 8x GPU | ↓$0.51(14.6%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 ★Best Price $3.50/hour Updated: 7/12/2026 Price Difference:↓$0.51(14.6%) | ||||
H200 141GB VRAM • DigitalOceanOblivus | ↓$0.55(13.8%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 ★Best Price $3.99/hour Updated: 7/12/2026 Price Difference:↓$0.55(13.8%) | ||||
L40 40GB VRAM • Oblivus | 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 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanOblivus | 8x GPU | ↓$0.51(14.6%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 ★Best Price $3.50/hour Updated: 7/12/2026 Price Difference:↓$0.51(14.6%) | ||||
H200 141GB VRAM • DigitalOceanOblivus | ↓$0.55(13.8%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 ★Best Price $3.99/hour Updated: 7/12/2026 Price Difference:↓$0.55(13.8%) | ||||
L40 40GB VRAM • Oblivus | 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 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | 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.
Per-GPU rates published for each instance type, with multi-GPU pricing scaling linearly
H100 SXM5, NVLink and PCIe SKUs published separately for tradeoffs in interconnect
Significant savings versus on-demand for longer-term commitments
Hourly billing with multi-GPU pricing scaling linearly from per-GPU rates
Discounted longer-term commitments, with savings around 25–50% versus on-demand depending on GPU
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 the Oblivus console
Choose an on-demand instance or request a reservation
Provision via console or API and connect over SSH
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Data centers across multiple regions
Documentation and ticket-based support