RamNode®
Dedicated CPU VPS – Virtual Dedicated Servers
When you want that predictable performance, closer to bare metal feel, and high performance. Sensitive applications shine, all applications run a bit smoother and more predictably.
Dedicated CPU VPS
True dedicated CPU cores with NVMe storage for predictable, high-performance computing
VDS Hosting (Virtual Dedicated Servers)
Simplify your experience with virtual server simplicity and dedicated CPU cores.
| Memory | CPU | NVMe | Bandwidth | Price |
|---|---|---|---|---|
| 8GB | 2 Dedicated Cores | 200GB | 10TB | $50/mo ($0.074/hr) |
| 16GB | 4 Dedicated Cores | 400GB | 20TB | $90/mo ($0.134/hr) |
| 32GB | 8 Dedicated Cores | 800GB | 40TB | $170/mo ($0.253/hr) |
| 64GB | 16 Dedicated Cores | 1600GB | 60TB | $320/mo ($0.476/hr) |
Standard VPS
- Great value with generous disk and egress + IPv4 included
- Previous generation CPUs and drives, but still fast
- Lower cost/good performance
Starting at $4/mo
Storage VPS
- Great for large storage applications
- Join multiple together for redundancy
Starting at $4/mo
Premium VPS
- Top speeds, low price, generous disk and egress + IPv4 included
- Latest Xeon, DDR4 and NVMe Drives, fastest
- Balanced cost/higher performance
Starting at $14/mo
Use Cases & Why It Fits
Dedicated CPU cores deliver predictable, high-performance computing for demanding workloads
✔ Benefit: Docker builds are CPU and RAM intensive and can freeze shared systems; dedicated CPUs provide consistent build performance and prevent resource contention during deployments.
• 3CPU / 6GB: solid for a few production apps
• 4CPU / 16GB: recommended for frequent builds, CI/CD, or 10+ services
Control Panels
✔ Benefit: PHP control panels rely on single-core performance; dedicated CPUs provide responsive dashboard operations without performance degradation from noisy neighbors.
• 3CPU / 6GB: smooth for 20-50 sites
• 4CPU / 16GB: ideal for agencies with 100+ client sites
Automation & AI
✔ Benefit: Complex workflows with parallel execution and code nodes scale with CPU availability; dedicated CPUs handle concurrent workflow runs more reliably.
• 2CPU / 4GB: personal automation workflows
• 4CPU / 8GB: heavy workflows, 50+ daily executions, or small model hosting
Coding Systems
Claude Code, Codex CLI, OpenCode CLI, Gemini CLI, Cursor CLI
✔ Benefit: Compilation, linting, and local inference are CPU-bound; dedicated cores provide faster build times and more responsive development workflows.
• 2CPU / 4GB: solo developers
• 4CPU / 16GB: large codebases, multiple dev servers, or team environments
Docker & Containers
✔ Benefit: Multi-stage builds and BuildKit operations are CPU-intensive; dedicated CPUs reduce docker build times and provide consistent multi-service orchestration performance.
• 2CPU / 4GB: dev/test stacks
• 4CPU / 16GB: GitLab, CI runners, or production multi-container apps
Kubernetes
✔ Benefit: K8s control plane components and pod scheduling are CPU-sensitive; dedicated CPUs provide more predictable performance and reduce pod scheduling latency.
• 4CPU / 8GB: minimum for real workloads
• 8CPU / 16GB+: production clusters with latency-sensitive services
✔ Benefit: Database queries benefit from consistent CPU availability; dedicated CPUs provide more predictable query response times and handle concurrent connections better.
• 2CPU / 4GB: small databases under 10GB
• 4CPU / 16GB: production with 100+ concurrent connections
Cache Systems
Valkey, Redis, Memcache
✔ Benefit: Command execution is single-threaded and CPU-dependent; dedicated CPUs provide consistent throughput without performance variability from shared resources.
• 2CPU / 4GB: moderate workloads
• 4CPU / 16GB: high-throughput caching or session stores
CMS Applications
✔ Benefit: PHP execution is single-core dependent; dedicated CPUs provide more consistent page generation times and stable performance during traffic increases.
• 2CPU / 4GB: 2-3 sites with caching
• 4CPU / 8GB: WooCommerce, multisite, or 5+ sites with heavy plugins
✔ Benefit: Encryption throughput scales with CPU availability; dedicated CPUs provide more consistent VPN performance and higher maximum throughput.
• 2CPU / 4GB: personal/team VPNs (10-20 clients)
• 4CPU / 8GB: site-to-site meshes, 100+ clients, or OpenVPN