Loading Comparison
Fetching pricing data and provider information...
Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between DigitalOcean and Koyeb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.43/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Koyeb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Koyeb | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanKoyeb | 8x GPU | ↑+$0.49(+19.6%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $2.50/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.49(+19.6%) | ||||
H200 141GB VRAM • DigitalOceanKoyeb | ↑+$0.44(+14.7%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 $3.00/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.44(+14.7%) | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanKoyeb | ↑+$0.37(+30.8%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 7/16/2026 $1.20/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.37(+30.8%) | ||||
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 • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Koyeb | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanKoyeb | 8x GPU | ↑+$0.49(+19.6%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $2.50/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.49(+19.6%) | ||||
H200 141GB VRAM • DigitalOceanKoyeb | ↑+$0.44(+14.7%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 $3.00/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.44(+14.7%) | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanKoyeb | ↑+$0.37(+30.8%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 7/16/2026 $1.20/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.37(+30.8%) | ||||
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 • Koyeb | 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-second billing with scale-to-zero across the GPU catalog
From RTX-4000-SFF-ADA and L4 through L40S, A100, H100, H200 and B200
Deploy applications close to users across multiple regions from a single push
Charged per second of GPU runtime, with scale-to-zero when idle
Pre-configured 2x, 4x and 8x GPU instances for larger workloads
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 via the Koyeb console using email or GitHub
Select an instance type from the GPU catalog and configure your service
Push from a GitHub repo or Docker image and Koyeb handles the rest
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers