How fast can I deploy a GPU instance on DigitalOcean?
💡 Answer
Deployment and developer tools at DigitalOcean:
Setup time: Minutes
Docker support: 1
SSH access: 1
Jupyter notebooks: 1
API / CLI: 1
Custom images: 1
A fast setup time combined with Docker and SSH support means you can go from sign-up to running your first training job in minutes. DigitalOcean provides the tools needed for both interactive development (via Jupyter) and automated pipelines (via API/CLI).
For step-by-step deployment tutorials and quickstart guides, visit DigitalOcean official website.
More FAQs about DigitalOcean
- What is DigitalOcean best for?
- What is the current Trustpilot rating and number of reviews for DigitalOcean?
- What machine learning frameworks does DigitalOcean support?
- Does DigitalOcean offer serverless GPU inference?
- Where are DigitalOcean data centers located?
- Does DigitalOcean support multi-GPU instances with NVLink or InfiniBand?
- Does DigitalOcean offer spot or preemptible GPU instances?
- Does DigitalOcean charge egress or data transfer fees?
- Does DigitalOcean offer free credits or a free trial?
- What GPU models does DigitalOcean offer?
- What is DigitalOcean pricing and how does billing work?
Guides Where DigitalOcean Is Featured
- Best Cloud GPU Providers with NVIDIA B200
- Best Cloud GPUs for Generative AI
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include DigitalOcean alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
DigitalOcean vs Vast.ai vs Latitude.sh - GPU Provider Comparison (April 2026)
Side-by-side comparison of DigitalOcean vs Vast.ai vs Latitude.sh. Quickly scan maximum funding, profit splits, risk rules, leverage, platforms, instruments, payout schedules, payment options, trading permissions and KYC restrictions to narrow down your prop trading firm shortlist. Data updated April 2026.
|
DigitalOcean
Simple, scalable GPU cloud for AI/ML
|
Vast.ai
Instant GPUs. Transparent Pricing.
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
|
|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 4.4 | 3.7 |
| Headquarters | United States | United States | Brazil |
| Provider Type | N/A | GPU Marketplace | Bare Metal |
| Best For | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | |||
| GPU Models | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 192 | 192 | 96 |
| Max GPUs/Instance | 8 | 8 | 8 |
| Interconnect | NVLink | NVLink, InfiniBand | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.76/hr | $0.06/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-second | Per-hour |
| Spot/Preemptible | 0 | 1 | 0 |
| Reserved Discounts | N/A | Up to 50% (1-6 month reserved) | N/A |
| Free Credits | $200 free credit for 60 days | Small test credit on signup | $200 via referral program |
| Egress Fees | None (included in plan) | Varies by host ($/TB) | None |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | Varies by host ($/GB/hr, charged while instance exists) | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo |
| Infrastructure | |||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 500+ locations, 40+ data centers | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | 99% | No formal SLA (host reliability scores visible) | 99.9% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA vLLM ComfyUI | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 1 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Seconds | Seconds |
| Kubernetes Support | 1 | 0 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | SOC 2 Type 2 HIPAA GDPR CCPA | Single-tenant isolation DPA available |
DigitalOcean
Vast.ai
Latitude.sh