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Compare GPU and LLM inference API pricing between DigitalOcean and fal.ai. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.22/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | fal.ai Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanfal.ai | 8x GPU | ↑+$1.10(+58.2%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.89/hour Updated: 7/5/2026 ★Best Price Price Difference:↑+$1.10(+58.2%) | ||||
H200 141GB VRAM • DigitalOceanfal.ai | ↑+$1.34(+63.8%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 $2.10/hour Updated: 7/5/2026 ★Best Price Price Difference:↑+$1.34(+63.8%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB 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 PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanfal.ai | 8x GPU | ↑+$1.10(+58.2%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.89/hour Updated: 7/5/2026 ★Best Price Price Difference:↑+$1.10(+58.2%) | ||||
H200 141GB VRAM • DigitalOceanfal.ai | ↑+$1.34(+63.8%) | |||
H200 141GB VRAM • $3.44/hour Updated: 7/16/2026 $2.10/hour Updated: 7/5/2026 ★Best Price Price Difference:↑+$1.34(+63.8%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB 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 PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB 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.
Production endpoints for image, video and audio models billed per call or per second
Run private models on dedicated NVIDIA GPUs with autoscaling and scale-to-zero
Inference engines tuned for diffusion and audio workloads
Hosted model endpoints billed per request or per generated unit
Custom deployments billed per second of GPU runtime, with scale-to-zero
Volume commitments and dedicated capacity for high-throughput customers
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 and generate an API key
Choose from the catalog or define a custom GPU-backed deployment
Invoke endpoints from any language using the REST or SDK clients
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers