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PC Building
AI & ML Workstations
For local AI, memory decides what you can run. We size VRAM to the largest model you need, then plan bandwidth, PCIe topology, cooling for sustained load, and the electrical circuit the machine will live on.
What's included
- Model-size to VRAM planning
- Single vs multi-GPU topology
- PCIe lane and platform selection
- System RAM and NVMe sizing for datasets
- Sustained-load cooling design
- Circuit and power assessment
- CUDA / ROCm / driver stack setup notes
- Rackmount or tower form factor choice
At a glance
- VRAM
- 24 – 192 GB total
- Platforms
- Consumer, HEDT, server
- Power draw
- 600 W – 3 kW
- Budget range
- $4,000 – $40,000+
FAQ
AI & ML Workstations questions
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Upgrades & Diagnostics
Find the real bottleneck, then upgrade only what moves the needle.
Custom Water Cooling
Hardline and soft-tube loops designed for performance, silence and serviceability.
Let's spec it before you buy it.
Post your project and we'll match you with certified vendors for this exact work.