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CCX63 cloud VPS 48 vCPU, 192 GB RAM

The CCX63 is a Linux cloud VPS with 48 vCPU, 192 GB RAM and 960 GB SSD (Dedicated AMD EPYC vCPU), from $1.74 per hour with a monthly cap of $1,088. It deploys in 6 regions (Falkenstein (DE), Helsinki (FI), Nuremberg (DE), Ashburn, VA (US), Hillsboro, OR (US) 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.

From $1.74 / hr Capped at $1,088 / mo 960 GB SSD Dedicated vCPU

Prices from the live catalog · billed per minute

At a glance

CCX63 specs and pricing

vCPU
48
Dedicated AMD EPYC vCPU
Memory
192 GB
RAM
Storage
960 GB
local SSD
Hourly from
$1.74
billed per minute
Monthly cap
$1,088
$22.67 per vCPU
Regions
6
EU, US, Singapore

CCX63 belongs to the CCX line of dedicated-vCPU servers: every vCPU maps to a reserved physical core thread, so performance stays consistent under sustained load. That makes it the right choice for production databases, build servers, game servers and CPU-bound batch jobs.

At $1,088 per month that works out to $22.67 per vCPU and $5.67 per GB of RAM. Price varies by region: Falkenstein (DE) is the cheapest at $1,088 per month and Singapore (SG) the most expensive at $1,322.

Pricing

CCX63 price by region

Live prices. Servers bill per minute at the hourly rate, up to the monthly cap shown in the configurator.

CCX63 price per region
RegionPer hourMonthly cap
Falkenstein (DE) $1.74 $1,088 Deploy
Helsinki (FI) $1.74 $1,088 Deploy
Nuremberg (DE) $1.74 $1,088 Deploy
Ashburn, VA (US) $1.76 $1,096 Deploy
Hillsboro, OR (US) $1.76 $1,096 Deploy
Singapore (SG) $2.12 $1,322 Deploy

What a CCX63 costs over time

In Falkenstein (DE), the cheapest region for this plan.

CCX63 cost by duration
DurationCost
1 hour$1.74
1 day (24 hours)$41.86
1 week (168 hours)$293
Full month$1,088
Use cases

What to run on a CCX63

  • Sustained CPU-bound workloads
  • Large databases and caches
  • Analytics and search clusters
  • Kubernetes nodes for many pods
  • CPU inference of small quantized LLMs
  • Parallel builds and batch jobs

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.

Alternatives

CCX63 vs similar plans

Live lowest monthly cap across regions.

Cloud VPS plans similar to CCX63
PlanvCPURAMSSDCPU typeFrom / mo
CCX63 (this page) 48192 GB960 GBDedicated AMD EPYC vCPU$1,088
CX53 1632 GB320 GBShared x86 vCPU, cost-optimized$38.44
CAX41 1632 GB320 GBShared Arm64 vCPU, Ampere Altra$53.02
CPX51 1632 GB360 GBShared AMD EPYC vCPU$90.82
CPX62 1632 GB640 GBShared AMD EPYC vCPU$166
CCX43 1664 GB360 GBDedicated AMD EPYC vCPU$352
CCX53 32128 GB600 GBDedicated AMD EPYC vCPU$681
FAQ

CCX63 VPS — frequently asked questions

How much does the CCX63 VPS cost?

From $1.74 per hour, capped at $1,088 per month in Falkenstein (DE). Prices by region range up to $1,322 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 CCX63 specs?

48 vCPU (Dedicated AMD EPYC vCPU), 192 GB RAM and 960 GB of local SSD storage, with a public IPv4 address and root SSH access.

Where can I deploy a CCX63?

In Falkenstein (DE), Helsinki (FI), Nuremberg (DE), Ashburn, VA (US), Hillsboro, OR (US) and Singapore (SG). Pick the region closest to your users; prices are listed per region on this page.

What can I run on a CCX63?

Typical workloads: Sustained CPU-bound workloads; Large databases and caches; Analytics and search clusters; Kubernetes nodes for many pods. 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 CCX63 shared or dedicated vCPU?

Dedicated. Each vCPU is reserved for your server, so performance does not depend on other tenants. That suits sustained CPU-bound work.

Which operating systems does the CCX63 support?

Ubuntu and Debian, deployed with root SSH access. Install Docker, a web stack or any Linux package after boot.

Deploy a CCX63 in minutes

Pick a region and OS, see the exact hourly and monthly price, and SSH in as root. Billed per minute, no commitment.