NexiloHost
High-Frequency VDS

Dedicated Ryzen CPU cores for workloads that notice CPU contention.

Designed for game servers, latency-sensitive services, and compute-heavy applications. Every plan uses NVMe storage and a 2.5 Gbps network port.

Performance profileDedicated CPU

4–12 dedicated Ryzen CPU cores, 16–64 GB memory, 200–800 GB NVMe, and 2.5 Gbps networking.

DDoS protectionFirewallUsage visibility
Billing cycleAvailability can change; final stock is confirmed in the client area.
VDS plans

Scale CPU, memory, and NVMe together.

Each step increases dedicated CPU cores and memory while keeping the same 2.5 Gbps network profile.

5 plans · from $39.99/mo
Ryzen high-frequency

VDS H2

Availability at checkout

Larger game servers and compute-heavy apps

$59.99/moPay monthly
CPU6 dedicated cores
Memory24 GB
Storage300 GB NVMe
Network2.5 Gbps
High-performance networkDDoS protectionNetwork firewall
Choose VDS H2
Ryzen high-frequency

VDS H3

Availability at checkout

High-load applications and game fleets

$79.99/moPay monthly
CPU8 dedicated cores
Memory32 GB
Storage400 GB NVMe
Network2.5 Gbps
High-performance networkDDoS protectionNetwork firewall
Choose VDS H3
Ryzen high-frequency

VDS H4

Availability at checkout

Large compute and memory-heavy workloads

$119.99/moPay monthly
CPU10 dedicated cores
Memory48 GB
Storage600 GB NVMe
Network2.5 Gbps
High-performance networkDDoS protectionNetwork firewall
Choose VDS H4
Ryzen high-frequency

VDS H5

Availability at checkout

Largest performance-focused deployments

$159.99/moPay monthly
CPU12 dedicated cores
Memory64 GB
Storage800 GB NVMe
Network2.5 Gbps
High-performance networkDDoS protectionNetwork firewall
Choose VDS H5

Stock is intentionally not hard-coded on this marketing page because server availability changes. The client area confirms current availability before the order is completed.

Where VDS fits

Choose it for CPU consistency, not just a bigger number.

01

Game servers

Dedicated high-frequency CPU cores are a better fit when game simulation and tick consistency are sensitive to CPU scheduling.

02

CPU-heavy applications

Use dedicated cores for workloads where shared CPU contention would make latency or completion times less predictable.

03

Busy application stacks

Combine dedicated CPU with larger memory and NVMe allocations for multi-service production deployments.

04

Self-hosted platforms

Run deployment platforms, automation services, and application stacks when you want more CPU headroom.