VRAM
Memory on the graphics card; usually the main limit for local AI model size.
LLMLab.ee
AI Workstations in Estonia
Single-GPU RTX 6000 Ada Team Server
Single-GPU 48GB inference, model serving, and large system-RAM workloads
Profile: High-Memory Team Server
Honest visual overview
Build schematic
A quick summary of the main AI buying decisions: GPU memory, system RAM, model target, and power class.
This is a schematic summary, not a photo of the exact build.
GPU
NVIDIA RTX 6000 Ada
VRAM
48GB
RAM
512GB
Model target
70B-class single-GPU inference
Core Configuration
CPU
AMD Threadripper PRO 7975WX
GPU
NVIDIA RTX 6000 Ada
VRAM
48GB
RAM
512GB
Storage
8000GB
Model target
70B-class single-GPU inference
Performance & Power
Throughput
Varies by model/runtime
System power
~850W
Recommended PSU
1600W
Cooling
High-memory workstation cooling with 420mm AIO
What can this build run?
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
- Roughly suitable for: 30B/34B quantized models
- Roughly suitable for: 70B-class quantized models
Actual fit depends on quantization, model choice, and runtime.
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.
Inference
Running an existing model for chat, coding help, summaries, or document workflows.
LoRA / fine-tuning
A way to adapt a model to your data; it needs more stability, RAM, and storage.
Component Pricing Breakdown
Prices use Estonian market data when available, otherwise reference estimates. Displayed component prices include the assembly/configuration markup; payable order price applies only when the purchase panel allows online checkout.
| Component | Product | Displayed price |
|---|---|---|
| CPU | AMD Threadripper PRO 7975WX Planning reference price | €4,484 |
| GPU | NVIDIA RTX 6000 Ada Updated yesterdayLow price sample | €13,091 |
| RAM | Kingston Server Premier 512GB (8x64GB) DDR5-4800 ECC RDIMM Planning reference price | €8,049 |
| Storage | WD Black SN850X 8TB Updated todayLow price sample | €447 |
| Motherboard | ASUS Pro WS WRX90E-SAGE SE Planning reference price | €1,494 |
| PSU | be quiet! Dark Power Pro 13 1600W Updated yesterdayLow price sample | €454 |
| Case | Phanteks Enthoo Pro 2 Updated yesterdayVerified pricing input | €184 |
| Cooler | Arctic Liquid Freezer III 420 Updated todayLow price sample | €210 |
| Estimated build configuration total | €28,413 | |
Build price history
All components and market total
Component lines show Estonian market averages before assembly. Fallback/reference-only components are excluded until a trusted market price exists.
Latest market total
€12,510
5/8 components
Market totalGPUStoragePSUCaseCooler
Build Notes
High-memory team server built around one RTX 6000 Ada. Custom multi-GPU systems require a separate quote because this catalog schema prices one GPU per build and should not imply two cards are included.
Source refs: nvidia.com, amd.com
Order
Quote reference price
€28,413
Shown for planning. Direct checkout remains quote-only until fresh market pricing and availability are checked.
Price chart shows Estonian market averages before assembly/configuration markup; quote-only pricing is manually confirmed before payment.
Quote-only because this item requires human review.
High-ticket, used/refurbished, pro, datacenter, and Apple compact systems require a manual quote before payment is opened.
What happens after your quote request
- No payment is taken from the quote request form.
- We review your use case, model targets, timeline, and budget.
- We verify suitable parts and current Estonian market pricing.
- Possible substitutions or changes are confirmed before any payment link.
- We usually send the next step or follow-up questions within 1-2 business days.
Support and questions continue through the order or quote email thread.
Request a verified quote
The request does not take payment. We manually verify price and availability, then confirm substitutions or changes before offering any payment link.
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.
Assembly QA
Planned baseline checks before handover
- BIOS and firmware baseline check
- Driver and AI tooling installation
- Thermal and load sanity check
- Memory and storage health check
- Local AI smoke test where applicable
Trust details
Important before ordering
Contact and support
Questions continue through the order or quote email thread. Replying to the confirmation is the fastest path.
Warranty
Warranty handling depends on the component, manufacturer, and retailer; the practical path is confirmed case by case.
Handover in Estonia
Pickup or local delivery method and timing are agreed after availability is checked.
Cancellations and changes
Cancellations and changes are confirmed in writing through the quote or order thread; after sourcing or assembly begins, custom-order handling may depend on order state.
Payment security
Card details are entered in Stripe checkout. LLMLab.ee does not collect or store full card numbers.
Pricing method
We show the Estonian market average before assembly and the order price with the 15% assembly and configuration markup.