Cherry Servers vs DigitalOcean - GPU Provider Comparison (March 2026)

Head-to-head comparison of Cherry Servers and DigitalOcean. 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 March 2026.

Cherry Servers vs DigitalOcean - GPU Provider Comparison (March 2026)
Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
DigitalOcean
Simple, scalable GPU cloud for AI/ML
Overview
Trustpilot Rating 4.6 4.6
Headquarters Lithuania United States
Provider Type N/A N/A
Best For AI training inference fine-tuning rendering research HPC generative AI deep learning AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research
GPU Hardware
GPU Models A100 A40 A16 A10 A2 Tesla P4 RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200
Max VRAM (GB) 80 192
Max GPUs/Instance 2 8
Interconnect PCIe NVLink
Pricing
Starting Price ($/hr) $0.16/hr $0.76/hr
Billing Granularity Per-hour Per-second
Spot/Preemptible 0 0
Reserved Discounts N/A N/A
Free Credits None $200 free credit for 60 days
Egress Fees N/A None (included in plan)
Storage NVMe SSD, Elastic Block Storage ($0.071/GB/mo) 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo
Infrastructure
Regions Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3)
Uptime SLA 99.97% 99%
Developer Experience
Frameworks PyTorch TensorFlow CUDA (bare metal — full stack control) PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face
Docker Support 1 1
SSH Access 1 1
Jupyter Notebooks 0 1
API / CLI 1 1
Setup Time Minutes Minutes
Kubernetes Support 1 1
Business Terms
Min Commitment None None
Compliance ISO 27001 ISO 20000-1 GDPR PCI DSS SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1