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AI Workstations in Estonia

FAQ

Multitasking

Hybrid AI + Gaming

Balanced builds for AI development during the day and high-refresh gaming at night.

Best for

  • One machine for gaming and local AI
  • Strong GPU performance outside AI workloads
  • Good fit for creators and students

Not ideal for

  • Less VRAM than pure AI-first builds at the same price
  • Higher peak power and heat
  • Not ideal for multi-user or lab workloads

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

Budget 16GB AI + Gaming

Low-cost dual-use build for 1080p gaming and light local AI. The 16GB AMD card gives useful VRAM for quantized models, but software compatibility is more selective than on CUDA.

GPU: AMD Radeon RX 7600 XT

CPU: AMD Ryzen 5 7600

RAM: 32GB | Storage: 2000GB

Target: 13B q4 + 1080p gaming

Good for 13B-class models

Strong everyday local LLM tier; 30B may need more memory or heavier quantization.

Good for everyday local LLM use

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

€1,822

7 market-priced parts, 1 reference estimates

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1440p AI Creator

Practical sweet spot for 1440p gaming, streaming, content creation, and local AI experiments. The 16GB CUDA GPU is the main reason to choose it over cheaper gaming-first systems.

GPU: NVIDIA RTX 4070 Ti SUPER

CPU: Intel Core i7-14700K

RAM: 64GB | Storage: 2000GB

Target: 13B-34B q4 + high refresh

Good for 13B-class models

Strong everyday local LLM tier; 30B may need more memory or heavier quantization.

Good for everyday local LLM use

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

€2,702

3 market-priced parts, 5 reference estimates

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4K Hybrid Flagship

Built for someone who wants one machine for serious 4K gaming, creator apps, and local AI. 16GB VRAM is enough for strong 13B-34B inference, while the high-end CPU keeps compile, render, and multitasking workloads responsive.

GPU: NVIDIA RTX 4080 SUPER

CPU: Intel Core i9-14900K

RAM: 64GB | Storage: 2000GB

Target: 34B q4 + 4K gaming

Good for 13B-class models

Strong everyday local LLM tier; 30B may need more memory or heavier quantization.

Good for everyday local LLM use

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

€3,459

3 market-priced parts, 5 reference estimates

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5090 Blackwell Hybrid

Flagship hybrid for buyers who want top-tier 4K gaming and local large-model inference in one tower. The 32GB Blackwell GPU gives more AI headroom than 24GB cards, but it needs strong cooling and power planning.

GPU: NVIDIA RTX 5090

CPU: Intel Core Ultra 9 285K

RAM: 64GB | Storage: 4000GB

Target: 70B q4 + 4K gaming

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

€6,138

3 market-priced parts, 5 reference estimates

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