Cloud Servers

Production-grade compute for sustained load—consistent speed, clear costs, and simple scaling.

Infrastructure isn't just a tool; it's the foundation your business runs on, and that foundation must be rock solid. Our platform pairs dedicated resources with low-latency networking and a stable, production-proven stack, so your services stay fast and predictable under pressure.

Where we run

Built for real workloads

OLTP/OLAP databases & analytics pipelines

Databases live and die by I/O and replication speed. Our NVMe volumes deliver high IOPS and low latency for write-heavy OLTP, and strong sequential throughput for OLAP scans. Unmetered internal traffic helps with fast replication, shard rebalancing, and ETL jobs between nodes. Backups, point-in-time recovery, and clear DR patterns are part of the playbook, so maintenance, growth, and incidents don’t jeopardize data integrity.

E-commerce & payments

Checkout flows demand consistent latency and high availability, especially during peaks and campaigns. Dedicated resources and stable networking keep transaction times steady, while isolated networks and role-based access support secure segregation of payment services from the rest of the stack. Staged updates and canary rollouts reduce risk in production, and backups/DR plans are aligned with business RPO/RTO so you can meet operational and compliance expectations.

ML inference & feature stores

Inference pipelines depend on low-variance compute and fast access to features. Dedicated CPU keeps tail latency in check for CPU-bound models and pre/post-processing, while NVMe storage and high-speed internal links speed up feature lookups and cache warming. If you run GPUs on your own hardware, we can operate a hybrid model and integrate it into the same GitOps workflows and monitoring you use for the rest of the platform.

Game backends & matchmaking

Real-time gameplay needs stable tick rates and predictable RTT. With no oversubscription of compute and high-throughput internal networking, your state services, lobbies, and matchmakers communicate quickly and consistently. Fast storage helps with sessions, inventories, and leaderboards, while private networking limits attack surface. Telemetry and alerts around latency spikes, error codes, and queue depth keep ops teams ahead of player-visible issues.

Internal business apps with strict SLAs

Line-of-business systems require uptime, controlled access, and change discipline. We provide private networks, per-instance firewalls, and access controls that match team structures, plus observability that covers infrastructure, application health, and business KPIs. Git-driven change pipelines make updates auditable and reversible, and backup/restore routines are designed to meet defined SLAs without lengthy maintenance windows.

Operating models

1. Self-managed: you keep the keys; we supply the platform and the performance.
2. Managed by our team: we operate the stack for you—provisioning, updates, monitoring, backups, and incident response—on our hardware or yours.
3. Git-driven workflows: infrastructure as code and Git-based changes for predictable rollouts and fast recovery.

Reliability by design

Security essentials

Quick sizing guide (rule of thumb)

• 2 vCPU / 4-8 GB RAM - small web/API, staging, utility services.
• 4 vCPU / 16-32 GB RAM - production web/API, small DBs, Redis.
• 8 vCPU / 32-64 GB RAM - heavier DBs, analytics workers, queues.
• 16+ vCPU / 64+ GB RAM - high-load databases, stream processing, shard leaders.

Not sure how to size it?

Share your current CPU/RAM usage, peak RPS, storage footprint, and availability target—we’ll propose an instance shape and a growth path that keeps performance predictable and costs transparent.