Hetzner
Best overall value. Strong price/performance, especially in EU regions.
Use for: balanced long-term deployment.
GPU Cloud deployment guide
Which GPU should you use for GPU Cloud?
If you just want the short answer: start with a 4 vCPU / 8 GB RAM GPU. It is the best default for stable day-to-day GPU Cloud use.
Recommended server sizes
- Starter: 2 vCPU / 4 GB RAM / 60+ GB SSD (testing, light usage)
- Balanced (recommended): 4 vCPU / 8 GB RAM / 120+ GB SSD (most users)
- Performance: 8 vCPU / 16 GB RAM / 200+ GB SSD (heavier workflows)
Vultr
Best location coverage. Good when you care about broad region choices.
Use for: geo-diverse deployments.
RackNerd
Budget-friendly entry point. Good for low-cost start if workload is light.
Use for: low-cost testing and small projects.
Cherry Servers
Good engineering flexibility. Solid option if you want more infra control.
Use for: custom or technical setups.
V.PS
Cost-sensitive option. Useful for budget-conscious deployments.
Use for: price-first choices.
AlphaVPS
Niche value pick. Worth checking when comparing lower-cost plans.
Use for: secondary budget shortlist.
Kamatera
Flexible hourly cloud. Useful for burst workloads and quick resizing.
Use for: flexible scaling scenarios.
Fast decision path
- Pick your target region first (latency > tiny price differences).
- Choose at least 4 vCPU / 8 GB RAM for production-like use.
- Use Finder filters to shortlist by city, RAM, and price.
FAQ
What GPU size should I start with for GPU Cloud?
Start with 4 vCPU / 8 GB RAM for stable daily use.
Which providers are recommended in this guide?
Vultr, Hetzner, RackNerd, Cherry Servers, V.PS, and AlphaVPS, and Kamatera.
Can I filter only these promoted providers?
Yes. Use the Finder shortcut in this page and it preloads the featured provider filter.