RamNode®
Premium Cloud VPS
When you want that extra snap, faster queries, quicker builds, higher encryption throughput. A premium cloud server for the applications and people that need to move a bit faster.
Premium VPS
High-performance virtual machines with faster CPUs and NVMe storage
Premium VPS – VPS Hosting
Experience high-speed NVMe compute instances with faster CPUs.
| Memory | CPU | NVMe | Bandwidth | Price, includes 1 IPv4 |
|---|---|---|---|---|
| 2GB | 2 Cores | 80GB | 4TB | $14/mo ($0.021/hr) |
| 4GB | 4 Cores | 120GB | 6TB | $24/mo ($0.036/hr) |
| 6GB | 4 Cores | 150GB | 8TB | $36/mo ($0.054/hr) |
| 8GB | 4 Cores | 200GB | 10TB | $48/mo ($0.071/hr) |
| 16GB | 8 Cores | 400GB | 12TB | $96/mo ($0.143/hr) |
| 32GB | 16 Cores | 600GB | 14TB | $192/mo ($0.286/hr) |
Standard VPS
- Great balance of price and performance
- Fully virtualized SSD instances
- Perfect for most workloads
Starting at $4/mo
Storage VPS
- Great for large storage applications
- Join multiple together for redundancy
Starting at $4/mo
Dedicated CPU VPS
Use Cases & Why It Fits
Perfect for applications that need that extra performance boost
✔ Benefit: Faster Docker image builds, faster app restarts, smoother scaling. On premium CPUs, deployment feels snappier.
2vCPU / 3GB: Fine for a few apps.
4vCPU / 8GB: Recommended if you're frequently building/redeploying or running many apps in parallel.
Control Panels
✔ Benefit: Web panels with PHP/Node backends and dashboards are more responsive with higher single-core speeds.
2vCPU / 3GB: Smooth management for a couple of sites.
4vCPU / 8GB: Best for agencies with many client sites or CI/CD tied into the panel.
✔ Benefit: High-frequency CPUs give much better responsiveness when running code interpreters, small model inference, or IDE-like features.
4vCPU / 8GB strongly preferred — AI-driven coding environments and background services eat CPU cycles.
Automation & AI
✔ Benefit: Complex automation workflows, especially parallel ones, run significantly faster. OpenWebUI benefits if hosting small models.
2vCPU / 3GB: For light personal workflows.
4vCPU / 8GB: If many workflows run concurrently or you expect heavier model integration.
Coding Systems
Claude Code, Codex CLI, OpenCode CLI, Gemini CLI, Cursor CLI
✔ Benefit: Code compilation, linting, and local inference (if integrated) scale with CPU frequency. Lower latency = smoother developer experience.
2vCPU / 3GB: Enough for personal CLI tools.
4vCPU / 8GB: If compiling frequently, running multiple dev tools in parallel, or sharing the VM across a team.
Docker & Containers
✔ Benefit: Premium CPUs speed up container builds and multi-service orchestration. Less waiting during docker build.
2vCPU / 3GB: Fine for dev/test stacks.
4vCPU / 8GB: If you host heavier stacks (GitLab, CI runners, multiple web apps).
Kubernetes
✔ Benefit: High-frequency cores improve cluster responsiveness (API server, scheduler) and pod start times.
4vCPU / 8GB minimum for real multi-service workloads; smaller nodes (2/4) only for learning labs.
✔ Benefit: Databases love higher CPU clock speeds — queries return faster, index rebuilds and backups complete quicker. RAM still matters, but modern CPUs reduce latency spikes.
2vCPU / 3GB: Good for small/medium DB workloads.
4vCPU / 8GB: For production DBs with many concurrent queries.
Content Management
✔ Benefit: PHP-based CMSs get noticeably snappier with faster CPUs, especially under traffic spikes. Page load times improve with high-frequency cores.
2vCPU / 3GB: Supports a few sites with caching.
4vCPU / 8GB: Better for multi-site hosting or when heavy plugins/themes are in play.
✔ Benefit: Encryption/decryption throughput scales directly with CPU frequency. WireGuard especially screams on high-frequency cores, handling much more bandwidth per vCPU.
2vCPU / 3GB: Great for personal/team VPNs.
4vCPU / 8GB: For site-to-site meshes, 100s of clients, or OpenVPN (heavier crypto).