DigitalOcean vs RunPod - GPU Provider Comparison (April 2026)
Head-to-head comparison of DigitalOcean and RunPod. Check max funding, profit splits, daily and overall drawdown rules, leverage, tradable assets, payout frequency, payment and payout methods, trading permissions and KYC restrictions before you buy a challenge. Data refreshed April 2026.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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| Overview | ||
| Trustpilot Rating | 4.6 | 3.8 |
| Headquarters | United States | United States |
| Provider Type | N/A | GPU-Focused |
| 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 rendering research LLM serving generative AI |
| GPU Hardware | ||
| GPU Models | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 192 | 288 |
| Max GPUs/Instance | 8 | 8 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.76/hr | $0.06/hr |
| Billing Granularity | Per-second | Per-second |
| Spot/Preemptible | 0 | 1 |
| Reserved Discounts | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | $200 free credit for 60 days | $5-$500 bonus after first $10 spend |
| Egress Fees | None (included in plan) | None (Free) |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | ||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 31 global regions |
| Uptime SLA | 99% | 99.99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | 1 | 1 |
| SSH Access | 1 | 1 |
| Jupyter Notebooks | 1 | 1 |
| API / CLI | 1 | 1 |
| Setup Time | Minutes | Instant |
| Kubernetes Support | 1 | 0 |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | SOC 2 Type II |
DigitalOcean
RunPod