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Product Specs
24-core AMD Threadripper PRO 9965WX
Dual Radeon Pro W7900 GPUs (96GB total VRAM)
512GB DDR5 ECC RAM (expandable to 1TB)
2TB PCIe 5.0 NVMe SSD
32TB SATA SSD storage (4× 8TB)
ASUS PRO WS TRX50-SAGE motherboard with IPMI
1600W 80+ Titanium Corsair AX1600i PSU
ARCTIC Freezer 4U-M CPU cooling
4× Noctua NF-F12 PWM case fans
Fractal North XL chassis (mesh airflow + walnut)
7 PCIe expansion slots
On-premise, cloud-free data processing
ECC memory for data integrity
Optimized airflow for continuous AI/render workloads
Expert assembly + full burn-in testing
Experience Description
Instant Llama 7B/13B/30B responses
70B running with minimal delay
SDXL generating 16K images
Training LoRAs in minutes
Running 10–30 agents at once
Data-heavy pipelines barely touching swap
GPU 1 generating images while GPU 0 handles LLMs
Zero stutter or thermal throttling during heavy use
This is a real workstation-class AI server, not a toy.
Support & Warranty
1-year parts & labor included
Professional installation, quick start documentation, and onboarding included
Optional training and consultation packages available
Companion OS (Custom Linux, always free)
Remote access — Connect from anywhere through an industry-standard Cloudflare VPN.
CI Digital Memory — Context-rich, persistent recall stored locally
Docker-Ready — Containerized workflows for AI, research, and business apps
Preloaded AI Models — Llama 3, Mistral, R1, and more available on day one
Just-in-Case Dataset — Essential public resources preloaded for backup use
What You Can Do
Fine-tuning large models (7B–70B parameter models).
Training medium-scale models (vision models, LoRA layers, diffusion models).
Running long-context inference because of massive RAM.
Multi-agent pipelines that run concurrently (RAG + inference + embedding + vector DB).
3D-AI hybrid workflows (Unreal, Blender, NeRF, Gaussian Splatting).
High-resolution diffusion (ComfyUI, SDXL, custom diffusion models).
Multi-GPU parallel rendering (benefit to stable diffusion controlnet pipelines).
Large dataset preprocessing — Threadripper PRO shines.
What you probably won’t want to do on this:
Training frontier-level 175B-1T models.
CUDA-specific research pipelines where devs assume NVIDIA.
Distributed training across multiple nodes (this is single-node optimized).
Who It’s For
Studios & Creators — Scalable rendering and generative media production pipelines
Families who want to use the system concurrently.
Power-users who want fast performance and strong graphics.
Why it Matters
Cloud independence: Avoid recurring GPU rental costs
Privacy & sovereignty: Keep sensitive datasets and models local
Scalable design: Expand RAM, GPUs, and storage as your needs grow
Enterprise reliability: ECC DDR5 and Titanium PSU ensure uninterrupted uptime
Future-ready: PCIe Gen5, DDR5, and modular architecture extend long-term value