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
digitalocean is a leading GPU cloud provider offering 8 instances across 8 different GPU models. With pricing starting at $0.45/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 8 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including A5000, A6000, A800 80GB, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing digitalocean for your GPU cloud needs, consider factors like pricing, regional availability, and supported GPU models. Their platform integrates with popular ML frameworks like PyTorch, TensorFlow, and JAX, making it straightforward to migrate existing workloads or start new projects.
For cost optimization, compare digitalocean's pricing with other providers using our cost estimator tool. Many users find that digitalocean offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.
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 →