u/TokenRingAI

Canceled mine a week ago and bought a TP Link instead to replace the hAP ax3 and I no longer have terrible wifi signal

This bug happens over and over on Windows, it is caused by a \ in front of a quote on an rmdir command

It happens with all models on most harnesses, and even to humans

The root problem is that the \ is both the escape character and the path separator, and the only solutions is to stop using an OS that is a pile of shit

Anyway, restore from backups and continue on with life.

No, because learning networks have already been built multiple times going back to the 1990s

Has the update been released for the official wordpress docker containers?

That is not unusual, the way to lower it is to substitute a less expensive model in for many of your tasks.

Also, you are already at a scale where running your own AI infrastructure makes economic sense.

If you are interested in having your own AI server feel free to DM me and I can guide you through that

Where do I buy an MI350P for $20K?

Link pls

You did it again

Well the comparison need to be with a like for like product.

https://preview.redd.it/z0fnphatrmvh1.png?width=1286&format=png&auto=webp&s=950f076b9e3c2a09d56e3d1aed651397ff898dd9

You intentionally choose to ignore the point.

600W in a desktop or workstation card is definitely possible as the 5090 and 6000 prove.

Yeah they chose to make a product that is not comparable, that is exactly my point.

RTX 6000 is also available in a server edition

Yeah, those are choices they made.

The 5090 and RTX 6000 both are available at those power levels with desktop compatible cooling

That's my point, they made this product totally uninteresting

God forbid they put a giant heatsink and fan on it and sell a desktop version

Exactly, nobody is going to do anything interesting with them since they will all be trapped in big corporate environments.

Vera Rubin is a great example of this, we arent getting it, it's going to be sitting in datacenters for the next 10 years with no retail or small corporate sales.

Meanwhile Nvidia is dropping the 5090, to really fuck us.

This is LocalLLaMA, and this is a very uninteresting product from a local inference perspective.

It's a 1993

It's a 1993

Bro, it's a 1993

Nobody is going to do anything interesting with MI350P unless AMD sells it retail.

>idk
That's right, apparently you don't know that the 4TB has twice the storage performance of the 1TB and triple the performance of a TB5 SSD that is going to give IO errors whenever the cable gets wiggled.

That difference in speed does matter when running engram models and loading models from disk

It's fucking stupid is what it is

That's the price for the model that has the better GPU and 4TB which is what you absolutely want

So far, I have not been able to replicate the Strata hot experts results on my inference engine while keeping logits identical to llama.cpp or SGLang

I think I have a skill issue

People can do whatever they want with their code.

If you don't like it don't use it.

Yes it's way too difficult to strip dashes in model names in the llama.cpp source code. Very difficult problem to solve

Bro, transformers came out in 2017