Dual RTX 3090 Dedicated GPU Server for Self-Hosted LLMs

AlexHost just added a dual RTX 3090 dedicated GPU server. 48GB of GDDR6X, a 16-core Ryzen 9, fixed monthly price. Built for teams running self-hosted LLMs in production — not experiments, not occasional inference, but always-on workloads that need to be there every time.

Configuration

GPU: 2× ASUS Turbo GeForce RTX™ 3090 24GB GDDR6X

VRAM: 48GB GDDR6X (2× 24GB)

CPU: AMD Ryzen™ 9 3950X (16 cores / 32 threads)

RAM: 64GB DDR4

Storage: 1TB NVMe SSD

Access: Full root access

The Ryzen 9 3950X handles tokenization, sampling, and pre/post-processing without becoming the bottleneck. 64GB of system RAM gives you room to run model serving alongside supporting services — monitoring, routing, API proxies — without memory pressure.

What runs on this server

48GB of VRAM across two GPUs opens up the model tier that actually matters for production use. You are not limited to 7B quantized models — you can run the real thing:

• DeepSeek R1 32B — full precision reasoning model

• Llama 3 70B at Q4 — Meta’s flagship at 4-bit quantization

• Qwen2.5 72B — strong multilingual and coding performance

• Mixtral 8×7B at FP16 — mixture-of-experts, high throughput

Deploy with vLLM, Ollama, or TGI — full root access means your stack, your config, no restrictions. Two cards can run as a single unified memory pool for large models, or as two independent inference endpoints serving different models simultaneously.

Self-hosted LLM hosting in Europe

EU AI Act enforcement begins in 2026, and data residency is moving from a preference to a requirement for many organizations. Running inference on US-based cloud infrastructure means your prompts, completions, and potentially your fine-tuning data cross jurisdictions you do not control.

AlexHost runs European infrastructure. Your data stays in the region — processed, stored, and served without leaving EU boundaries. For companies handling personal data, healthcare information, or anything subject to GDPR, that’s not a nice-to-have. It’s the baseline.

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