Power Coding Workflow
powerRun a dedicated 32B coding model with embeddings for local RAG. The sweet spot for developers who want serious local AI coding without API dependency.
Concurrent VRAM
18.9 GB
Peak VRAM
18.9 GB
Min Bandwidth
400 GB/s
Models
2
VRAM Breakdown
How the 18.9 GB concurrent VRAM is used.
Always Running (Concurrent)
What matters most for this workflow
This workflow keeps multiple models resident at once, so memory headroom matters more than chasing the cheapest possible card.
How to think about the hardware
This is one of the cleaner local-first cases: if you use the tools regularly, the economics catch up quickly and privacy/offline access become a bonus rather than the only justification.
Local vs API Costs
Typical Monthly API Cost
$80/mo
Break-Even Point
12 months
Annual Savings
~$768/yr
Based on Cursor Pro ($20/mo) + ~500 API completions/day with a 32B-class model (~$2/day). AI Builder Workstation at $2,902. Break-even includes electricity cost (~$15/mo at 6hr/day usage).
Recommended Builds
Pre-configured builds that can run the Power Coding Workflow workflow.
Prefer a Mac? Apple Silicon with unified memory can run this workflow too. See the Mac AI Builder workflow →