Dedicated RTX GPU Servers for AI Workloads
Choose from four dedicated GPU server configurations designed for AI inference, LLM hosting, fine-tuning, generative AI, private model deployment, and production compute. All servers are manually provisioned and prepared according to your workload requirements.
Starter AI Node
For lightweight inference, AI agents, development and testing.
$1,900 deployment & provisioning fee
The Starter AI Node is ideal for developers and small teams that need a dedicated GPU environment without paying for enterprise-grade multi-GPU infrastructure. It is suitable for Stable Diffusion, AI agents, API testing, model experimentation, small LLM inference, and lightweight fine-tuning.
Pro AI Node
For stronger inference, larger models and production workloads.
$1,900 deployment & provisioning fee
The Pro AI Node is the recommended configuration for most serious AI workloads. It provides more VRAM, stronger platform stability, ECC memory, fast NVMe storage, and better network capacity. It is designed for private AI inference, quantized LLMs, image/video generation, automation systems, and production API deployments.
Dual GPU Server
For multi-user inference, LoRA training and heavier AI pipelines.
$1,900 deployment & provisioning fee
The Dual GPU Server is built for teams that need more parallel compute capacity. It is suitable for running multiple AI services, separating inference workloads, LoRA training, batch generation, model testing, and multi-user development environments. This plan is a strong fit for AI SaaS projects and technical teams.
Enterprise AI Node
For demanding production AI workloads and premium capacity.
$1,900 deployment & provisioning fee
The Enterprise AI Node is designed for customers that need higher VRAM capacity, stronger throughput, and a premium dedicated environment. It is best suited for production inference, private AI platforms, multi-model serving, enterprise automation, high-volume generation, and advanced development teams.
What Is Included?
Every server is manually deployed, verified, and prepared for AI workloads before handover.
AI-ready setup
Ubuntu server installation with optional Docker, NVIDIA drivers, CUDA toolkit, and basic AI environment preparation.
Dedicated hardware
Your GPU resources are dedicated to your server. No shared GPU scheduling or noisy-neighbor cloud behavior.
Manual provisioning
Each order is reviewed and deployed manually to ensure correct configuration, stability, and customer fit.
Pricing & Deployment Terms
- All plans are billed monthly unless a longer commitment is agreed.
- A $1,900 deployment and provisioning fee applies to monthly contracts.
- The deployment fee is waived for 6-month commitments.
- Servers are provisioned manually after payment confirmation and order review.
- Crypto payments can be confirmed manually by invoice number and transaction hash.
- Custom configurations may be available depending on GPU stock and datacenter availability.
Need Help Choosing a Server?
Contact us with your AI workload, model size, storage needs, and expected usage. We will recommend the most suitable GPU server configuration.
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