LLM Hosting on Scalable GPU Dedicated Servers

LLM hosting means running large language models like Llama, Mistral, or DeepSeek on dedicated GPU servers that you fully control, instead of paying per token through third-party APIs. You get predictable monthly pricing with no per-token fees, complete data privacy (your prompts and weights never leave your environment), and the freedom to fine-tune or customize models. For production workloads with steady traffic, dedicated LLM hosting typically becomes more cost-effective than API usage at scale.

It depends on model size and workload. As a rule of thumb: quantized 7B–13B models run efficiently on a single NVIDIA L40S (48 GB); 70B-class models in production typically require A100-class nodes or multi-GPU setups; Blackwell-powered systems with 128 GB unified memory suit advanced fine-tuning and RAG-heavy workloads. Not sure which tier fits? Our engineers will size the configuration based on your target model, quantization, and expected tokens-per-second — just contact us before ordering.

Both options are available. Every server ships with a pre-configured AI stack (CUDA, PyTorch, Docker, vLLM/TGI/TensorRT-LLM), and with our Managed Services our engineers handle OS hardening, driver updates, proactive monitoring, and hardware failovers 24/7 — so your team focuses on models, not infrastructure. Prefer full DIY control? You still get root access and can manage the stack yourself.

Yes. If you already own GPU servers, our Colocation Hosting lets you place your hardware in our Tier III+ UK and EU data centers — with enterprise power, cooling, redundant networking, and remote hands support. This hybrid approach combines the CAPEX benefits of owned hardware with data-center-grade uptime and physical security, without building your own facility.

Every deployment runs on single-tenant, dedicated hardware — no shared GPUs, no noisy neighbors, no multi-tenant data exposure. Your model weights, RAG embeddings, and user queries stay within your isolated environment in ISO 27001-certified UK/EU data centers, supporting strict data localization requirements under GDPR. Built on enterprise-grade AI Hosting infrastructure, nothing you run is ever used to train third-party models.

Yes — that's exactly what our infrastructure is built for. Single-tenant hardware, EU/UK data residency, and ISO-certified facilities support compliance-driven deployments such as AI-powered player support, fraud detection, or KYC automation. For gaming platforms specifically, our iGaming Hosting combines compliant infrastructure with DDoS protection and licensing-jurisdiction locations — and pairs naturally with a private LLM node for your AI features.

Standard configurations are typically provisioned within hours, not weeks. Since CUDA toolkits, Docker, and inference frameworks come pre-installed, most teams go from server handover to serving their first tokens the same day — load your weights, start vLLM or TGI, and expose your API endpoint. Custom multi-GPU clusters may require additional setup time, which we confirm before ordering.

You scale without re-platforming. Add GPU nodes, upgrade to a higher tier (e.g., from L40S to A100 or Blackwell-based systems), or expand into a multi-GPU cluster as your user base grows. Our team assists with migration planning and load balancing, and with Managed Services capacity monitoring is proactive — we flag scaling needs before performance degrades.