Managed Dedicated Servers

Security updates, system package updates, service management (Nginx, PHP, MariaDB, Postfix, etc.), SSH hardening, firewall, service monitoring, and OS-level troubleshooting. Does not include code development or content management.

Absolutely. You get full SSH at the user level — allowing you to run scripts, Cron jobs, Composer, Git hooks, and background processes. Need a special system component installed? Open a support ticket and we'll handle it.

Yes. DirectAdmin admin allows you to create multiple hosting accounts on the same server — each with its own domain, SSL, and database. A dedicated server is essentially a large VPS: you can host hundreds of sites on it, capacity permitting.

We monitor servers continuously. In the event of a hardware failure — disk, memory, network — we respond proactively. Critical issues are handled with high priority. Open an urgent support ticket for anything affecting site availability.

Yes. If you outgrow your current server, we can migrate to a larger model. Migration is coordinated in advance to minimize downtime — typically involving a data transfer and DNS update. Contact support to explore your options.

ECC (Error-Correcting Code) memory detects and corrects single-bit memory errors in real time, with no impact on server operation. In standard (non-ECC) memory, such errors can cause process crashes, data corruption, or kernel panics. For production servers — especially under DB or compute loads — ECC is an essential standard, not an optional extra.

The GTX 1080 is a Pascal-generation card with 8GB VRAM. It suits Embeddings, TTS (Text-to-Speech), Stable Diffusion, and small inference models (up to ~7B). Not suitable for large LLMs like Llama 70B, Qwen, or any model requiring more than 8GB VRAM — for those, RTX 4000 or higher is the right choice.

The RTX 4000 SFF Ada is a next-generation Ada Lovelace card with 20GB VRAM and Tensor Cores — significantly accelerates inference and handles models up to ~13B. The GTX 1080 (Pascal, 8GB VRAM) suits lighter workloads at a lower price. If your models exceed 8GB VRAM, RTX 4000 is the right call.

The RTX PRO 6000 Blackwell has 96GB VRAM — enabling single-card inference of large LLMs (70B+), local fine-tuning, full Stable Diffusion XL pipelines with large batches, and AI video processing. This level of capability typically requires enterprise hardware costing tens of thousands of dollars.

Xeon Gold servers come with a very high core count, large ECC memory capacity, and multiple network interfaces — suited for multi-threaded intensive workloads: CI/CD servers, data pipelines, BI, rendering farms, and heavy database workloads that benefit from parallelism.