Does DigitalOcean offer free credits or a free trial?
💡 Answer
DigitalOcean offers the following free credits or trial options for new users:
$200 free credit for 60 days
With GPU instances starting at $0.76/hr, even a modest free credit can provide meaningful hands-on time to evaluate the platform, test your workloads, and benchmark performance before committing to paid usage.
Check current free credit offers and sign-up bonuses at 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?
- How fast can I deploy a GPU instance on DigitalOcean?
- 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?
- 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 RTX 3090
- Best Cloud GPUs for AI Model Training
- 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 Massed Compute vs Latitude.sh - GPU Provider Comparison (April 2026)
Side-by-side comparison of DigitalOcean vs Massed Compute 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.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
|
Massed Compute
GPU cloud with direct engineer support
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
|
|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 0 | 3.7 |
| Headquarters | United States | United States | Brazil |
| Provider Type | N/A | GPU-Focused | Bare Metal |
| Best For | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion research | 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 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 192 | 141 | 96 |
| Max GPUs/Instance | 8 | 8 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.76/hr | $0.35/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-minute | Per-hour |
| Spot/Preemptible | 0 | 0 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | $200 free credit for 60 days | None | $200 via referral program |
| Egress Fees | None (included in plan) | None | None |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | Local NVMe included with instances | 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) | United States (Tier III data centers) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | 99% | Tier III (99.98% design) | 99.9% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 1 | 0 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Minutes | 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 II HIPAA | Single-tenant isolation DPA available |
DigitalOcean
Massed Compute
Latitude.sh