Full AI Builder

full

The complete local AI development stack: concurrent coding model + reasoning model + embeddings. Switch between QwQ for architecture decisions and Qwen Coder for implementation, with local RAG always available.

CursorAiderOpen WebUIAnythingLLMCodex CLI

Concurrent VRAM

18.9 GB

Peak VRAM

18.9 GB

Min Bandwidth

500 GB/s

Models Required

VRAM Breakdown

How the 18.9 GB concurrent VRAM is used.

Always Running (Concurrent)

nomic-embed-text v1.5(embeddings for rag)

512 MB

FP16 · 137M

Switched (Loaded As Needed)

These share VRAM with the largest concurrent model — only one runs at a time.

Qwen 2.5 Coder 32B Instruct(code completion)

18.4 GB

Q4_K_M

QwQ 32B Preview(reasoning and architecture)

18.4 GB

Q4_K_M

Llama 3.1 8B Instruct(fast chat and drafting)

4.9 GB

Q4_K_M

Local vs API Costs

Typical Monthly API Cost

$150/mo

Break-Even Point

8 months

Annual Savings After Break-Even

~$1440/yr

Based on Cursor Pro ($20/mo) + heavy API usage with 32B coding + o1-mini reasoning (~$130/mo). AI Builder Workstation at $2,902. Break-even includes electricity (~$20/mo at 8hr/day). The privacy and latency advantages are significant — no rate limits, no outages, no data leaving your machine.

Recommended Builds

Pre-configured builds that can run the Full AI Builder workflow.

Mid-Range

Mid-RangeFull AI Builder

AI Builder Workstation

NVIDIA GeForce RTX 4090 · 64GB DDR5-5600 (2x32GB)

$2,90224 GB VRAM

Runs 10 models

Prefer a Mac? Apple Silicon with unified memory can run this workflow too. See the Mac AI Builder workflow →

Get a personalized recommendation for this workflow →

Author: Ada. Last updated: 2026-03-01.