Mid-range

Compact SFF AI Build

Serious AI power in a compact, desk-friendly form factor

$1,304

7 components · 12 GB VRAM · 5 compatible models

VRAM

12 GB

TDP

340W

Noise

~30dB

Models

Tier

Mid-range

The Heart of This Build

NVIDIA GeForce RTX 4070 Super 12GB

$599

12GB VRAM in compact form. Capable inference for 7-8B models.

Buy New

Amazon Best Buy Newegg B&H Photo

Buy used: save ~$210

eBay Marketplace r/hardwareswap

Parts

7 components, $1,304 total

Estimated prices. Actual retail may vary by region. Some links may earn a small affiliate commission.

The Rest of the Build

cpu

AMD Ryzen 5 7600

6-core Zen 4. Efficient for SFF, enough for inference.

$199

Where to buy

Direct

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motherboard

Gigabyte B650I Aorus Ultra (Mini-ITX)

Mini-ITX B650 with DDR5. Compact, feature-complete.

$219

Where to buy

Direct

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ram

32GB DDR5-5600 (2x16GB)

32GB DDR5 for model loading in SFF.

$79

Where to buy

Direct

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storage

1TB WD Black SN850X NVMe

Fast NVMe. 1TB for models and projects.

$89

Where to buy

Direct

Amazon Best Buy Newegg B&H Photo

psu

Corsair SF750 750W 80+ Platinum SFX

SFX form factor. 750W for RTX 4070 Super headroom.

$139

Where to buy

Direct

Amazon Best Buy Newegg B&H Photo

case

NZXT H1 V2

All-in-one SFF with integrated AIO and PSU. Compact footprint.

$149

Where to buy

Direct

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Runs

Compatibility

What This Build Can Run

5 AI models benchmarked on this exact hardware configuration.

Fastest Model

Phi-3 Mini 3.8B Instruct

Q8_0

65tok/s

Fast

4Fast (40+ tok/s)

1Slow (<12 tok/s)

Llama 3.1 8B Instruct

Q8_0

Mistral 7B Instruct v0.3

Q5_K_M

Qwen 2.5 7B Instruct

Q5_K_M

nomic-embed-text v1.5

FP16

Next Step

Upgrade Path

Swap to RTX 5080 16GB when available in SFF form factors for a major VRAM jump to 16GB.

Built For

Target Use Cases

ChatCodingAI coding

Want to tweak this build?

Open it in the configurator to swap components, check compatibility, and see what models you can run.

Customize This Build

Prices are estimates and may vary by retailer and region.