Budget
BudgetBasic AI Coding
Budget AI Desktop
$753
12 GB VRAM280W TDP~32dB7 components
Inside This Build
Components
| Category | Component | Price | Rationale | Buy |
|---|---|---|---|---|
| gpu |  NVIDIA GeForce RTX 3060 12GB | $269 | 12GB VRAM at the lowest price point. Runs 7-8B models comfortably at Q4. The Ampere architecture is fully supported by all inference engines. | |
| cpu |  AMD Ryzen 5 5600 | $119 | 6-core AM4 CPU. More than sufficient for inference workloads — the GPU does the heavy lifting. Great value at this price. | |
| motherboard |  MSI B550M PRO-VDH WiFi | $89 | Reliable micro-ATX B550 board with WiFi. PCIe 4.0 x16 slot for the GPU. No unnecessary frills. | |
| ram | 32GB DDR4-3200 (2x16GB) | $59 | 32GB is the minimum for comfortable AI work — models load into system RAM before GPU memory. Dual-channel for bandwidth. | |
| storage | WD1TB WD Black SN770 NVMe | $69 | Fast NVMe for model loading. 1TB holds ~20-30 quantized models. Model swap speed matters for workflow. | |
| psu |  Corsair RM550x 550W 80+ Gold | $79 | 550W is plenty for RTX 3060 (170W TDP). Fully modular for clean cable management. 80+ Gold efficiency. | |
| case | Fractal DesignFractal Design Pop Mini Air | $69 | Good airflow mATX case. GPU fits easily at 242mm. Mesh front for thermals. | |
| Total | $753 | |||
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Buy Used GPU
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What This Runs
AI models tested on this build's hardware.
| Model | Quant | Speed |
|---|---|---|
| Llama 3.1 8B Instruct | Q5_K_M | 35 tok/s |
| Qwen 2.5 7B Instruct | Q5_K_M | 33 tok/s |
| Phi-3 Mini 3.8B Instruct | Q8_0 | 50 tok/s |
| Mistral 7B Instruct v0.3 | Q5_K_M | 34 tok/s |
| Stable Diffusion XL 1.0 | FP16 | — |
| nomic-embed-text v1.5 | FP16 | — |
| Whisper Large V3 | FP16 | — |
AI Builder Workflow: Basic Coding Assistant
Run a single local coding model for code completion and chat. The entry-level builder setup — replace API-dependent code completion with a local 7-8B model.
Tools in this workflow
CursorContinueLM StudioOllama
Concurrent VRAM Usage
5.8 GB of 12 GB
6.2 GB headroom for additional workloads
API Cost Replacement
If you're paying ~$30/month for cloud API access, this build pays for itself in 25 months.
Based on ~200 Cursor completions/day at ~$1/day API cost. Budget AI Desktop at $753. Privacy and offline access are the main value drivers at this tier, not pure cost savings.
Upgrade Path
Swap GPU to RTX 4060 Ti 16GB (+$180) for 4GB more VRAM and better performance. Or sell the entire GPU and go RTX 4070 Ti Super for a major jump.
Target Use Cases
ChatCodingAI Coding
Last updated: 2026-03-01.