Total Data Privacy & Compute Ownership
Advanced Dual-GPU & Multi-GPU Compute Nodes
Deploy local AI infrastructure with complete ownership of hardware, models, and data. Multi-GPU systems optimized for inference, simulation, rendering, and accelerated compute workloads.
CUDATensorRTPyTorchOllamaLocal LLMsMulti-GPU
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Local LLM Infrastructure
Run powerful large language models locally. Protect proprietary data by processing entirely on-premise without API costs. Engineered for maximum VRAM density.
- 96GB to 192GB+ VRAM configurations
- Optimized for inference latency (Llama.cpp, vLLM)
- Fully isolated operational environments
Multi-GPU Compute Nodes
Enterprise systems optimized for CUDA, TensorRT, PyTorch, and intensive scientific simulation workloads. Scalable from dual-GPU to 8-GPU architectures.
- Up to 8x PCIe Gen 5 GPUs per node
- AMD EPYC / Dual Intel Xeon foundations
- Industrial cooling and airflow design
AI Lab Infrastructure
Complete infrastructure for research environments and educational institutes. We build highly available GPU servers that can be partitioned via virtualization (Proxmox / VMware) to serve multiple concurrent researchers.
