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this post was submitted on 23 May 2025
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Someone else mentioned the cooler too, so that's out for sure. To be honest, I never really thought about graphics in the traditional sense, but I do need something for at least Jellyfin transcoding. And maybe a small llm. Would it be better to get a dedicated GPU or CPU with integrated?
The gold standard for transcoding these days is a newer gen Intel CPU with integrated graphics.
The integrated GPU on those intel chips can do Intel QuickSync / QSV which will handle a dozen streams at once without breaking a sweat.
Dedicated GPUs are obviously going to be more powerful. I've never run ai before so maybe someone else can weigh in on the requirements for it, but I can say for sure that an igpu is good enough for jellyfin transcoding. It also depends on your budget, do you want to spend the extra money just for a dedicated GPU?
If you go igpu route I think that Intel is recommended over AMD, but you should probably do extra research on that before buying
My amd igpu works just fine for jellyfin. LLMs are a little slow, but that's to be expected.
Yeah, I'm not sure if I really want to deal with an llm. It would mostly be for home assistant, so nothing too crazy.
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.
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.
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.