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Compare GPU and LLM inference API pricing between DigitalOcean and Latitude.sh. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.08/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Latitude.sh Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanLatitude.sh | 8x GPU | ↑+$1.33(+80.1%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$1.33(+80.1%) | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanLatitude.sh | ↑+$0.83(+112.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 7/16/2026 $0.74/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.83(+112.2%) | ||||
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 • Latitude.sh | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanLatitude.sh | 8x GPU | ↑+$1.33(+80.1%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 7/16/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$1.33(+80.1%) | ||||
H200 141GB VRAM • DigitalOcean | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanLatitude.sh | ↑+$0.83(+112.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 7/16/2026 $0.74/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.83(+112.2%) | ||||
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 • Latitude.sh | 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.
Provision servers with user data, RAID, and SSH over a documented REST API.
RTX 6000 Ada, H100, and L40S capacity with dual 100 Gbps networking on multi-GPU nodes.
25 locations spanning the US, Europe, Latin America, and Asia-Pacific.
Hourly and monthly rates published for GPU and CPU bare metal.
Beyond compute: managed databases, storage, networking, and Kubernetes services.
Dedicated GPU servers tuned for AI training and inference.
Virtualized GPU plans for quick starts and cost-effective deployment.
General-purpose dedicated servers with high core counts and NVMe.
Hourly billing for dedicated GPU servers including RTX 6000 Ada configurations with transparent published pricing.
Cost-effective virtualized GPU options with H100 and L40S available in select regions.
Hourly and monthly billing options for CPU-focused bare metal servers with regional pricing variations.
Published hourly rates for all GPU and CPU plans with pricing that varies by region (US, Brazil, Europe, APAC).
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.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
25 locations across Dallas, Los Angeles, New York, Chicago, Ashburn, Miami, London (2), Frankfurt (2), Amsterdam, Sao Paulo (2), Mexico City, Buenos Aires, Bogota, Santiago, Singapore, Tokyo (2), and Sydney (2).
API reference, contact sales, and a trust center; platform tooling exposes SSH, RAID, and user-data options on provision.