AI & Machine Learning Workstations — Egypt's LLM & Diffusion Rigs
MSFREEZ builds AI workstations for local LLM inference (Llama, Qwen, DeepSeek), LoRA fine-tuning, Stable Diffusion / Flux / ComfyUI pipelines, and computer vision training. VRAM-first configurations — because model size dictates everything.
What you get
- Single-GPU: RTX 5090 (32 GB) for 70B quantised LLMs
- Dual-GPU: 2× RTX 5090 (64 GB pooled) for Flux + LoRA training
- Pro-tier: RTX PRO 6000 Blackwell (96 GB) for full-precision fine-tuning
- 128–512 GB system RAM for model offloading
- Custom loop mandatory — 24/7 training stays under 65°C
VRAM is the whole conversation
A 70B parameter LLM at Q4 needs ~40 GB VRAM to run coherently. Flux.1 dev + T5-XXL wants 24 GB minimum for comfortable generation. LoRA training on SDXL asks for 24 GB, and full fine-tuning demands 48 GB+. We size GPUs to the model you actually run — not to a benchmark.
Why sustained cooling matters more than headline TFLOPS
AI workloads pin GPUs at 100% for hours or days. An air-cooled RTX 5090 will thermal-throttle from 2.7 GHz to 2.1 GHz within 20 minutes of Flux training in Egypt's summer ambient. Our custom loops keep the same card at 2.7 GHz indefinitely — 25% more real tokens/sec.
Multi-GPU: NVLink, PCIe topology, and PSU
RTX 5090 has no NVLink — multi-GPU relies on PCIe 5.0 x8/x8 topology and framework-level model parallelism (accelerate, DeepSpeed, vLLM tensor-parallel). We spec workstation boards (TRX50 / WRX90) so both cards get proper PCIe lanes and a 1600W Platinum PSU handles peaks.
Software stack we validate before delivery
CUDA 12.x + latest drivers, PyTorch nightly, vLLM / llama.cpp / ComfyUI / Ollama pre-installed and benchmarked. WSL2 or native Ubuntu dual-boot on request. We hand over a working stack, not just hardware.
FAQ
RTX 5090 or RTX PRO 6000 Blackwell for LLMs?
5090 (32 GB) runs 70B Q4 comfortably. PRO 6000 (96 GB) is required for 120B+ full-precision, multi-model serving, or long-context fine-tuning. 3× the price, 3× the VRAM.
Can I run this in a normal office?
Yes — with a custom loop, a dual-5090 rig stays under 32 dB(A). Fine for an office, a home lab, or a small studio. Air-cooled it's a jet engine.
Do you help set up Ollama / vLLM / ComfyUI?
Included. We validate throughput on your specific models (tokens/sec, images/min) before you take delivery.
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