DigitalOcean vs RunPod - GPU Provider Comparison (Abril 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 Abril 2026.
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DigitalOcean
Simple, scalable GPU cloud para sa AI/ML
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RunPod
Ang ulap na ginawa para sa AI — mag-deploy at mag-scale ng GPU workloads mula sa serverless inference hanggang sa instant multi-node clusters ayon sa pangangailangan.
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| Pangkalahatang-ideya | ||
| Rating sa Trustpilot | 4.6 | 3.8 |
| Punong-tanggapan | United States | United States |
| Uri ng Provider | Hindi naaangkop | Nakatuon sa GPU |
| Pinakamainam Para sa | Pagsasanay ng AI inference fine-tuning deployment ng LLM serbisyo ng LLM computer vision mga startup generative AI pananaliksik | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | ||
| Mga Modelo ng GPU | 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/Bawat Instance | 8 | 8 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Simulang Presyo ($/oras) | $0.76/hr | $0.06/hr |
| Granularidad ng Pagsingil | Bawat segundo | Bawat segundo |
| Spot/Preemptible | 0 | 1 |
| Nakalaang Diskwento | Hindi naaangkop | 15-29% (mga plano mula 1 buwan hanggang 1 taon) |
| Libreng Kredito | $200 libreng credit para sa 60 araw | $5-$500 na bonus pagkatapos ng unang $10 na gastusin |
| Bayad sa Paglabas | Wala (kasama sa plano) | Wala (Libre) |
| Storage | 500-720 GiB NVMe boot (kasama), 5 TiB NVMe scratch sa mas malalaking configs, Volumes sa $0.10/GiB/buwan | Container/Volume ($0.10/GB/buwan), Idle Volume ($0.20/GB/buwan), Network Storage ($0.07/GB/buwan 1TB) |
| Infrastructure | ||
| Mga Rehiyon | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 31 global na rehiyon |
| Uptime SLA | 99% | 99.99% |
| Developer Experience | ||
| Mga Framework | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow JAX ONNX CUDA |
| Suporta sa Docker | 1 | 1 |
| SSH Access | 1 | 1 |
| Jupyter Notebooks | 1 | 1 |
| API / CLI | 1 | 1 |
| Oras ng Setup | Minuto | Agad-agad |
| Kubernetes Support | 1 | 0 |
| Business Terms | ||
| Minimum na Commitment | Wala | Wala |
| Pagsunod sa Batas | SOC 2 Type II SOC 3 HIPAA (kasama ang BAA) CSA STAR Level 1 | SOC 2 Type II |
DigitalOcean
RunPod