01Planned enterprise setupUnder 2 days
We prepare dedicated virtual server capacity around your workload profile, access model, and rollout target. Standard setups are usually under 2 days, with complex deployments taking up to 7 days.
Cloud Infrastructure
VDS Hosting
Dedicated virtual server resources with predictable performance for production workloads.
Enterprise VDS stack
Everything you need for VDS hosting
Dedicated virtual resources, protected networking, and operational support for predictable enterprise workloads.
02Dedicated CPU and memoryDedicated allocation
Reserved compute and RAM give business-critical services more predictable performance under sustained load and traffic spikes.
03Performance NVMe storageLow latency
Fast storage supports databases, application servers, build systems, and data-heavy services that need consistent IO behavior.
04Enterprise DDoS protectionAlways on
Protected network paths and mitigation policies help preserve availability for customer-facing platforms and internal services.
05Root-level production controlProduction control
Your team controls the OS, security posture, deployment tooling, monitoring agents, backups, and service configuration.
06Enterprise support pathPriority help
We assist with deployment readiness, network questions, access problems, and operational blockers during rollout and beyond.
VDS FAQ
Before you choose VDS
VDS is for workloads where steadier resources reduce risk and operational stress.Fit
What makes VDS different from VPS?
VDS gives you dedicated virtual resources instead of a more shared VPS-style environment. That makes performance easier to reason about when your workload is sensitive to resource swings.
Who should use VDS?
Use VDS for production apps, databases, panels, APIs, and services where slowdowns create support issues, revenue loss, or player frustration.
Operations
Is VDS still flexible like a server?
Yes. You still manage your environment and stack, but with a stronger resource baseline than a standard VPS.
Why pay more for VDS?
You are paying to reduce uncertainty. If a workload needs steady behavior under load, dedicated virtual resources can be cheaper than dealing with surprise performance problems later.