digitalocean GPU Cloud Provider
Paperspace is now part of DigitalOcean. GPU Cloud for high-performance computing and scaling AI applications. On-demand and dedicated GPU instances with multi-GPU support (2x, 4x, 8x). Premium support, SAML SSO, and consolidated billing. Free unlimited bandwidth.
Provider Overview
| Name | digitalocean |
| Total Instances | 8 |
| Minimum Price | $0.45/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
Paperspace is now part of DigitalOcean. GPU Cloud for high-performance computing and scaling AI applications. On-demand and dedicated GPU instances with multi-GPU support (2x, 4x, 8x). Premium support, SAML SSO, and consolidated billing. Free unlimited bandwidth.
Get Started with digitalocean
Ready to rent GPUs from digitalocean? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Regions
New York, Amsterdam, Singapore, San Francisco, London, Frankfurt, Toronto, Bangalore
GPU Models
8
Instances
8
Pricing Plans
On-Demand GPU
$0
Pay-as-you-go GPU cloud instances
Dedicated GPU
$0
Dedicated GPU resources
3-Year Commitment
$0
Reserved GPU pricing with significant discounts
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 | $5.95 | 80 GB | GPU | View GPU → |
| A800 80GB | $1.15 | 80 GB | GPU | View GPU → |
| RTX A4000 | $0.76 | 16 GB | GPU | View GPU → |
| A6000 | $1.89 | 48 GB | GPU | View GPU → |
| Tesla V100 | $2.30 | 16 GB | GPU | View GPU → |
| A5000 | $1.38 | 24 GB | GPU | View GPU → |
| RTX 5000 Ada | $0.82 | 32 GB | GPU | View GPU → |
| Quadro M4000 | $0.45 | 8 GB | GPU | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for digitalocean
Compare with Other Providers
Explore alternative GPU cloud providers and compare pricing
Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About digitalocean GPU Cloud
GPUvec currently tracks 8 digitalocean instance configurations across 8 GPU models. The lowest observed rate in the dataset is $0.45/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes A5000, A6000, A800 80GB, H100, Quadro M4000. GPUvec has location data for 8 regions: New York, Amsterdam, Singapore, San Francisco, London.
When evaluating digitalocean, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare digitalocean with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit digitalocean's website to create an account and start using their GPU instances.
Visit digitalocean →What You Need to Know About digitalocean
Complete Overview of digitalocean GPU Cloud Services and Pricing
Get detailed information about digitalocean's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish digitalocean from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Pricing per Hour for digitalocean GPU Instances
Review the pricing structure for digitalocean's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether digitalocean offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How digitalocean Compares to Other GPU Cloud Providers
See how digitalocean stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.