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I currently have a Synology 220+ and a couple of VPS's, and I'm looking to consolidate, while getting out of Synology's walled garden. I've already got a couple of 3.5's in the Synology, and 4 2.5's lying around and I'm planning on running a number of docker containers and a couple of vms.

That said, I've never built anything before, and basically just went to PCPartPicker, started with the case, and checked 5-stars on each component and went from there. So... how absurd is my build?

PCPartPicker Part List

Type Item Price
CPU AMD Ryzen 5 5600X 3.7 GHz 6-Core Processor $135.00 @ Amazon
CPU Cooler Cooler Master MasterLiquid 360L Core ARGB Liquid CPU Cooler $90.71 @ Amazon
Motherboard MSI MAG B550 TOMAHAWK ATX AM4 Motherboard $165.99 @ B&H
Memory TEAMGROUP T-Force Vulcan Z 16 GB (2 x 8 GB) DDR4-3200 CL16 Memory $26.99 @ Amazon
Storage Seagate IronWolf NAS 8 TB 3.5" 7200 RPM Internal Hard Drive Purchased For $179.00
Storage Seagate IronWolf NAS 8 TB 3.5" 7200 RPM Internal Hard Drive Purchased For $179.00
Storage Seagate IronWolf NAS 8 TB 3.5" 7200 RPM Internal Hard Drive $159.99 @ Adorama
Case Fractal Design Meshify 2 ATX Mid Tower Case $173.89 @ Newegg
Power Supply Corsair RM650 (2023) 650 W 80+ Gold Certified Fully Modular ATX Power Supply $89.99 @ Corsair
Prices include shipping, taxes, rebates, and discounts
Total $1200.56
Generated by PCPartPicker 2025-05-23 19:32 EDT-0400
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[-] yaroto98@lemmy.org 2 points 1 year ago

I have a very similar NAS I built. The Home Assistant usage doesn't really even move the needle. I'm running around 50 docker containers and chilling at about 10% cpu.

[-] themadcodger@kbin.earth 1 points 1 year ago

The LLM for home assistant, or just HA in general doesn't move the needle? My HA is also pretty low key, but I was considering the idea of running my own small llm to use with HA to get off of OpenAI. My current AI usage is very small, so I wouldn't need too much on the GPU side I'd imagine, but I don't know what's sufficient.

[-] yaroto98@lemmy.org 2 points 1 year ago

Just home assistant doesn't move the needle. The llms hit the igpu hard and my cpu usage spikes to 70-80% when one is thinking.

But my llms i'm running are ollama and invokeai each with several different models just for fun.

this post was submitted on 23 May 2025
77 points (97.5% liked)

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