Build Your
AI Sovereignty
Custom-engineered deep learning workstations.
Decoupled from the cloud. 40% more cost-efficient than AWS instances.
Compute Infrastructure
Three tiers designed for every stage of model development, from fine-tuning to training.
Researcher Pro
Max single-GPU performance. Perfect for individual researchers and quantization experiments.
- 165 TFLOPS Compute
- AMD Ryzen 9 9950X
- NVIDIA RTX 4090 24GB
- 128GB DDR5 6000MHz
Laboratory Edition
Dual RTX 4090 architecture. Built for parallel batch processing and 70B parameter model tuning.
- 330 TFLOPS Compute
- Dual NVIDIA RTX 4090
- 192GB DDR5 6000MHz
- 4TB NVMe + 8TB Archive
Cluster Node
Scalable 4x GPU compute nodes with 25G networking. Designed for rack mounting.
- 660 TFLOPS Compute
- 4x NVIDIA RTX 4090 (96GB VRAM)
- 25G Networking Pre-installed
- Ubuntu Server / Rocky Linux
The NeuraForge Standard
Hardware engineered specifically for the modern LLM stack.
Model Agnostic
Decoupled from model providers. Run Llama 3, Mistral, or Flux locally without API costs or data leakage risks.
Memory Density
We standardize 128GB+ RAM to ensure CPU offloading is efficient when VRAM limits are reached during inference.
Ready to Deploy
Shipped with CUDA 12, PyTorch, and Docker pre-configured. Boot directly into your Jupyter Lab environment.
Capital Efficient
40% cheaper than equivalent Dell/HP workstations by utilizing consumer-grade flagships over overpriced Quadro cards.
Initiate Procurement
Ready to build your custom AI Workstation? Request a formal quote for your finance department.
Request Quote 📧