In hindi we call it “old lady hair”

To satisfy you:

Well, you see my parents and grandparents don’t understand the concept of ads fully, especially in case of YouTube Shorts. After a few instances of them sharing the ads, thinking they were regular content, i just got the family plan.

Sorry, should’ve read them.

For future reference, can I copy paste all content and reference link to my site at the bottom of post, or just the content itself?

I know.

Put it this way: I try to be objective, but at the end of the day I am some what subjective.

If going for an inverter try a sin wave one if it’s in your budget.

This usually depends on the country/region. For example in India ikea is obscenely expensive for what they are selling when you can get a miles better product at a similar price.

At least in Delhi you can get really really good furniture at a fair price.

I have used it mainly for dreambooth, textual inversion and hypernetworks, just using it for stable diffusion. For models i have used the base stable diffusion models, waifu diffusion, dreamshaper, Anything v3 and a few others.

The 0.79 USD is charged only for the time you use it, if you turn off the container you are charged for storage only. So, it is not run 24/7, only when you use it. Also, have you seen the price of those GPUs? That 568$/month is a bargain if the GPU won’t be in continuous use for a period of years.

Another important distinction is that LLMs are a whole different beast, running them even when renting isn’t justifiable unless you have a large number of paying users. For the really good versions of LLM with large number of parameters you need a lot of things than just a good GPU, you need at least 10 of the NVIDIA A100 80GB (Meta’s needs 16 https://blog.apnic.net/2023/08/10/large-language-models-the-hardware-connection/) running for the model to work. This is where the price to pirate and run yourself cannot be justified. It would be cheaper to pay for a closed LLM than to run a pirated instance.

The point about GPU’s is pretty dumb, you can rent a stack of A100 pretty cheaply for a few hours. I have done it a few times now, on runpod it’s 0.79 USD per HR per A100.

On the other hand the freely available models are really great and there hasn’t been a need for the closed source ones for me personally.

You can get pretty sleek mini-pc in the price but, there performance is sub-par compared to the price they are asking for.

While itx for factor is very expensive, m-atx is cheaper and there are quite few sleek cases for them.

If you are looking for prebuilt mini pc, asustor flashtor is pretty sleek if you only want m.2 storage.

Why not build a new PC or buy an old pc? One with ryzen 5 5600G, 8gb Ram, 250GB ssd should cost ~250USD whether you buy new/old, i recently checked the prices, cause I needed one and they were similar. This should take you a long way. As for storage just pick a case with enough ssd/harddisk slots.

You can also go much cheaper depending on what you get.

The advantage is you can add a GPU like the intel A380 for av1 encoding of video if you feel like you need it.

For OS depending on what you are doing there are a few choices:

• True nas: mid difficulty
• debian: i just use this with docker, does the job
• alma linux/Rocky linux
• ubuntu
• yunohost: if you would be interested in hosting activitypub apps, easy
• casaos: easy