CPX32 cloud VPS 4 vCPU, 8 GB RAM
The CPX32 is a Linux cloud VPS with 4 vCPU, 8 GB RAM and 160 GB SSD (Shared AMD EPYC vCPU), from $0.074 per hour with a monthly cap of $46.00. It deploys in 4 regions (Falkenstein (DE), Helsinki (FI), Nuremberg (DE) and Singapore (SG)) with root SSH access on Ubuntu or Debian, is billed per minute while it exists, and shows its exact price in the configurator before you sign in.
Prices from the live catalog · billed per minute
CPX32 specs and pricing
CPX32 belongs to the CPX line of shared AMD EPYC servers, which offer higher per-core performance than the cost-optimized CX line and are available in more regions.
At $46.00 per month that works out to $11.50 per vCPU and $5.75 per GB of RAM. Price varies by region: Falkenstein (DE) is the cheapest at $46.00 per month and Singapore (SG) the most expensive at $63.28.
CPX32 price by region
Live prices. Servers bill per minute at the hourly rate, up to the monthly cap shown in the configurator.
| Region | Per hour | Monthly cap | |
|---|---|---|---|
| Falkenstein (DE) | $0.074 | $46.00 | Deploy |
| Helsinki (FI) | $0.074 | $46.00 | Deploy |
| Nuremberg (DE) | $0.074 | $46.00 | Deploy |
| Singapore (SG) | $0.102 | $63.28 | Deploy |
What a CPX32 costs over time
In Falkenstein (DE), the cheapest region for this plan.
| Duration | Cost |
|---|---|
| 1 hour | $0.074 |
| 1 day (24 hours) | $1.77 |
| 1 week (168 hours) | $12.40 |
| Full month | $46.00 |
What to run on a CPX32
- Docker Compose stacks with several services
- Medium web apps with a database
- Self-hosted tools such as GitLab Runner or Grafana
- Small game servers
Need AI inference? CPU servers are a poor fit for large language models. Use the pay-per-token inference API for hosted models, or rent a GPU pod billed per minute for custom models and fine-tuning. Single-tenant hardware is available as dedicated bare-metal servers.
CPX32 vs similar plans
Live lowest monthly cap across regions.
| Plan | vCPU | RAM | SSD | CPU type | From / mo |
|---|---|---|---|---|---|
| CPX32 (this page) | 4 | 8 GB | 160 GB | Shared AMD EPYC vCPU | $46.00 |
| CX33 | 4 | 8 GB | 80 GB | Shared x86 vCPU, cost-optimized | $11.44 |
| CPX21 | 3 | 4 GB | 80 GB | Shared AMD EPYC vCPU | $12.52 |
| CAX21 | 4 | 8 GB | 80 GB | Shared Arm64 vCPU, Ampere Altra | $14.14 |
| CPX31 | 4 | 8 GB | 160 GB | Shared AMD EPYC vCPU | $22.78 |
| CCX13 | 2 | 8 GB | 80 GB | Dedicated AMD EPYC vCPU | $55.18 |
| CCX23 | 4 | 16 GB | 160 GB | Dedicated AMD EPYC vCPU | $110 |
CPX32 VPS — frequently asked questions
How much does the CPX32 VPS cost?
From $0.074 per hour, capped at $46.00 per month in Falkenstein (DE). Prices by region range up to $63.28 per month. Billing is per minute while the server exists, and the configurator shows the hourly and monthly figures before you deploy.
What are the CPX32 specs?
4 vCPU (Shared AMD EPYC vCPU), 8 GB RAM and 160 GB of local SSD storage, with a public IPv4 address and root SSH access.
Where can I deploy a CPX32?
In Falkenstein (DE), Helsinki (FI), Nuremberg (DE) and Singapore (SG). Pick the region closest to your users; prices are listed per region on this page.
What can I run on a CPX32?
Typical workloads: Docker Compose stacks with several services; Medium web apps with a database; Self-hosted tools such as GitLab Runner or Grafana; Small game servers. Small quantized language models can run on CPU with llama.cpp, but for production LLM traffic a GPU pod or the pay-per-token inference API is far faster and usually cheaper.
Is the CPX32 shared or dedicated vCPU?
Shared. vCPUs share physical cores with other tenants, which keeps the price low and suits bursty workloads such as web apps, CI runners and development boxes. For sustained CPU-bound work choose a dedicated-vCPU CCX plan.
Which operating systems does the CPX32 support?
Ubuntu and Debian, deployed with root SSH access. Install Docker, a web stack or any Linux package after boot.
Deploy a CPX32 in minutes
Pick a region and OS, see the exact hourly and monthly price, and SSH in as root. Billed per minute, no commitment.