VRAM
Memory on the graphics card; usually the main limit for local AI model size.
AI-ready computers assembled for your needs.
Choose a build profile, continue to Stripe payment only when pricing is verified, or request a custom quote. Parts are selected from Estonian listings and availability is checked before assembly.
Estonia-focused AI hardware guidance
Verified quote before payment on volatile builds
Checkout only after price and availability checks
VRAM, model-size, Mac/PC, and workload guidance
Software included
Prepared for local AI
We assemble the computer, check it, and set up the tools you need.
Ollama / llama.cpp ready
Download and run AI models on your own computer.
CUDA or ROCm configured where applicable
GPU software setup is checked where applicable.
Docker + Python environment
A practical coding setup for AI tools and projects.
Open WebUI / local chat interface
Use a private chat app that runs on your computer.
Stable Diffusion setup
Create AI images with the main tools already set up.
Remote access setup
Optional remote-access setup, confirmed before configuration.
Driver & thermal stability testing
Baseline driver and thermal checks before handover.
Model download & setup guidance
Simple steps for running your first AI model.
Build categories
Pick which category suits you the best
Pick a computer based on what you want to do with AI.
Chat with AI
Local LLM Inference
7B/13B daily use; larger models on higher-memory tiers
Larger models depend on VRAM, quantization, context, and runtime
Max VRAM per dollar
See inference builds →
Always-on services
Homelab AI
Quiet 24/7 local inference
Headless Ollama/Open WebUI; 13B-34B depends on quantization and context
VRAM, RAM, and storage for services
See homelab servers →
Teach your model
LLM Fine-Tune Starter
LoRA and adapter tuning
Good starting point for 7B/13B LoRA work
RAM + cooling stability
See fine-tuning builds →
Work and play
Hybrid AI + Gaming
Daytime dev, nighttime play
Good for 7B/13B; 30B depends on the GPU
Balanced CPU/GPU spend
See hybrid builds →
Big AI jobs
AI Workstations & Custom Quotes
48GB+ single-GPU workstations; multi-GPU by custom quote
70B-class and team workloads need memory-tier and runtime validation
Quote-reviewed large-model and team systems
See workstation and quote systems →
Easy Mac setup
macOS-based systems
Apple Silicon Mac mini and Mac Studio systems
Best for 7B/13B models; larger models depend on unified memory
No GPU required
See Mac systems →
Experimental
Mac + External GPU AI
Apple Silicon + NVIDIA/AMD eGPU
Experimental separate VRAM; model fit depends on driver and runtime
AI compute only
See Mac eGPU AI setup →
Not sure which category fits you best?
Answer a few questions and we'll recommend the best build for your models, budget, and workload.
Compare workstations
A practical shortlist before you choose
AI fit is a rough estimate; model/runtime/quantization affects results.
| Build | GPU | VRAM | RAM | AI fit | Price | Price data | Action |
|---|---|---|---|---|---|---|---|
| Homelab Inference Server | NVIDIA RTX 4070 Ti SUPER | 16GB | 96GB | Good for 13B-class modelsGood for everyday local LLM use | €3,567 | 6 market, 2 reference | View |
| Light 16GB AI + 1080p Gaming | AMD Radeon RX 7600 XT | 16GB | 32GB | Good for 13B-class modelsGood for everyday local LLM use | €1,866 | 6 market, 2 reference | View |
| 1440p AI Creator | NVIDIA RTX 4070 Ti SUPER | 16GB | 64GB | Good for 13B-class modelsGood for everyday local LLM use | €3,198 | 6 market, 2 reference | View |
| 4K Hybrid Performance | NVIDIA RTX 4080 SUPER | 16GB | 64GB | Good for 13B-class modelsGood for everyday local LLM use | €4,784 | 5 market, 3 reference | View |
| 5090 Blackwell Hybrid | NVIDIA RTX 5090 | 32GB | 64GB | Better for 30B-class modelsStrong for larger quantized models | €8,063 | 4 market, 4 reference | View |
| Budget Fine-Tune Entry | NVIDIA RTX 4060 Ti 16GB | 16GB | 64GB | Good for 13B-class modelsGood for everyday local LLM use | €2,380 | 5 market, 3 reference | View |
AI terms in plain language
Unified memory
Apple Silicon memory shared by CPU and GPU. Useful for local AI, but not identical to NVIDIA VRAM.
7B / 13B / 70B
A rough model-size signal. Larger numbers usually need more memory and may run slower.
q4 / quantization
A compressed 4-bit model that uses less memory, sometimes with quality or speed tradeoffs.
Trust and process
What happens after an order or quote request
After payment
You receive a confirmation email. We then check part availability and contact you if any component may need a practical substitution.
Assembly and testing
The planned workflow is assembly, software setup, and baseline GPU/AI checks before handover.
Handover in Estonia
Pickup or local delivery method and timing are agreed after availability is checked.
Warranty and support
Warranty handling depends on the component, manufacturer, and retailer. Support questions continue through the order or quote email thread.
Individual components
PC component catalog
Browse available GPUs, CPUs, memory, and other components at Estonian market prices.
Prices are estimated from current Estonian listings and may change based on part availability, configuration, and assembly options.