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Private AI Home Server

Local AI hardware offers a compelling alternative to cloud-based solutions for running LLMs. By leveraging local edge computing, users can process and store their data on-site, ensuring that sensitive information remains secure and out of reach from third-party surveillance or data breaches.

What you will find here

An overview of different hardware, reviews and resources I put together while figuring out what to buy.
All with a focus on high quality and getting the best price-to-performance ratio.

Maybe it will help you too - if you like it, give it a thumbs up!
Also, make sure to support the sources - they did a great job!

Hardware

Name Processor Memory Bandwidth PCIe (v/l/m) Ethernet Fan Noise (idle/load)
Apple
Apple Mac Mini M5 Pro ? ~348GB/s - 10G 0db / ?
Apple Mac Studio M4 Max ≤128GB 546GB/s - 10G 0db / 44db
AMD
Beelink AI Mini Ryzen AI Max+ 395 ≤128GB 256GB/s ? ? ?
Beelink GTR9 Pro Ryzen AI Max+ 395 ≤128GB 256GB/s - 10G (2x) ?
Corsair AI Workstation 300 Ryzen AI Max+ 395 ≤128GB 256GB/s ? 2.5G ?
Framework Desktop Ryzen AI Max+ 395 ≤128GB 256GB/s 4.0 / x4 / x4 5G 0dB / 48dB
GMKtec EVO-X2 Ryzen AI Max+ 395 ≤128GB 256GB/s - 2.5G 27dB / 55dB
HP Z2 Mini G1a Workstation Ryzen AI Max+ 395 ≤128GB 256GB/s - 2.5G 32dB / 67dB
Minisforum MS-S1 Max Ryzen AI Max+ 395 ≤128GB 256GB/s 4.0 / x4 / x16 10G (2x) ?
NVIDIA
Dell Pro Max Grace Blackell GB10 ≤128GB 273GB/s - 200G (2x) ?
NVIDIA DGX Spark Grace Blackell GB10 ≤128GB 273GB/s - 200G (2x) ?

Apple Mac Mini M5 Pro

unreleased

Apple Mac Studio M4 Max

Beelink GTR9 Pro

Beelink Ai Mini

unreleased

Corsair AI Workstation 300

Dell Pro Max

Framework Desktop

GMKtec EVO-X2

HP Z2 Mini G1a Workstation

Minisforum MS-S1 Max

NVIDIA DGX Spark

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