LLMLab.ee

AI Workstations in Estonia

FAQ

Heavy AI & Multi-GPU

AI Workstations & Multi-GPU Systems

Single- and multi-GPU workstation platforms for larger models, multi-session serving, research, and team deployments.

Best for

  • 70B+ models, research, and team use
  • Single- or multi-GPU configurations
  • ECC RAM, high VRAM, and workstation cooling

Not ideal for

  • Much higher cost and power draw
  • Physically larger and louder under load
  • Unnecessary for basic local chat or small models

AI fit is a rough estimate; model/runtime/quantization affects results.

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

Workstation

Software Developer AI Workstation

Configured by LLMLab.ee

Developer-first workstation for local models, IDEs, containers, databases, and browser-heavy workflows running at the same time. The 24GB CUDA GPU covers serious inference while 128GB RAM keeps the rest of the workspace smooth.

GPU: NVIDIA RTX 4090

CPU: AMD Ryzen 9 9950X

RAM: 128GB | Storage: 4000GB

Target: 34B q4

Better for 30B-class models

Stronger fit for larger quantized models; actual fit depends on runtime and settings.

Strong for larger quantized models

  • Roughly suitable for: local coding assistants and 7B/8B models
  • Roughly suitable for: 13B/14B quantized models

3,249

7 market-priced parts, 1 reference estimates

Workstation

Threadripper 48GB Beast

Configured by LLMLab.ee

Professional single-GPU workstation for sustained 70B-class inference, large context windows, and heavy multitasking. The 48GB RTX 6000 Ada is the key upgrade: more VRAM, workstation thermals, and better fit for long unattended jobs.

GPU: NVIDIA RTX 6000 Ada

CPU: AMD Threadripper 7960X

RAM: 256GB | Storage: 4000GB

Target: 70B q4 sustained

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

13,595

2 market-priced parts, 6 reference estimates

Workstation

32/48GB Pro Workstation

Configured by LLMLab.ee

AMD professional workstation path with 48GB VRAM and 256GB ECC RAM for large ROCm-friendly workloads. Good for teams standardizing on AMD, but CUDA-first software should be validated before purchase.

GPU: AMD Radeon PRO W7900

CPU: AMD Threadripper 7970X

RAM: 256GB | Storage: 4000GB

Target: 70B q4

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

11,640

2 market-priced parts, 6 reference estimates