Multi-GPU / team system
Dual RTX 6000 Ada Tower
Configured by LLMLab.ee
High-end multi-GPU tower for parallel inference, model serving, and experiments that can actually use two GPUs. Best for technical users who know their stack supports tensor or pipeline parallelism.
GPU: NVIDIA RTX 6000 Ada
CPU: AMD Threadripper PRO 7975WX
RAM: 512GB | Storage: 8000GB
Target: 70B+ parallel inference
70B needs serious memory tradeoffs
70B-class models depend heavily on VRAM/RAM, quantization, and context length.
Workstation tier for larger models and multiple workflows
- Roughly suitable for: local coding assistants and 7B/8B models
- Roughly suitable for: 13B/14B quantized models
€17,983
1 market-priced parts, 7 reference estimates