Taylor Dettling

So for a little background, I have quite a bit of experience using Debian, and a little Red Hat and Arch. I have used linux for a long time with raspberry pis, and have had it installed before on older machines. I also use linux servers to host my web services, so I'm not concerned about having a noob friendly OS. I'd like to dual-boot linux on my laptop (XPS 7590 OLED), and my desktop (6700k, 1080 ti). I do a lot of coding, but I am also a student, and rely on windows only tools for some classes, hence the dual booting. Because I take my laptop around all day in classes, as well as when I am teaching, I want something that is pretty stable, and is good for battery. I have used Ubuntu, Kubuntu, Manjaro, etc. I like Manjaro it felt very nice to use and worked well with my hardware, but it being Arch and rolling release worries me. I am just trying to figure out if anyone has any recommendations for this. Thanks!

I upgraded from windows 10 to 11, but I don't have an option to roll it back, so I guess Ill install via the official insider build then. How do I install the official build? Will I just have to wait till the TPM module comes or can I use uup dump or something to get the latest build?

Will I have to do a clean install every time I want to update until my TPM gets here?

I do not have a TPM module, but I have one on order. In the mean time I have a bit of an issue. I have tried all methods of modding the isntaller with registry keys, using the windows 10 installer with the windows 11 install.esd files, and a lot of other methods, none are allowing me to upgrade my Windows 11 build 21996.1 to the latest build. I have gotten it to where I can do a clean install, I was just wondering if anyone knew of another way I can upgrade my leaked copy of Windows 11 to the latest without a fresh install. Thanks!!

Ok cool, if I end up getting a Nocuta cooler I will make sure its going front to back not up and down

It is over clocked to 4.8 one core, 4.7 two and 3 core, 4.6 for 4 core, no added voltange in the Bios though, it is set to 0.0 mv offset, so it should be standard voltage.

Oh ok, what positioning would you suggest then? Just have no idea how to properly palace or. Or what would you reccomend instead Sorry I got super sick then had school, the temp is 87 C under load when doing renders and stress tests, and the fans are pretty loud, but I can also hear the pump chugging away also. Right now I have the fans that come with the AIO and they get up to 1600 RPM at full load

Do you already have a keyboard and mouse/monitor that you are happy with? What resolution and settings are you targeting? 1080p, 1440p, 4k? 60 FPS or high refresh rate like 120 or 144 hz gaming?

So currently I have a little bit of an older system that is based around a 6700k and a EVGA GTX 1080, and it is cooled with a 240 mm Corsair AIO, and its done its job well over the last few years. Recently I have wanted to move to something that is quieter and a little bit less maintainance than having a radiator, as I am moving to college and my PC will be in the same room as me all the time. I was wondering if there is a better air cooler that would get me a little better temps at a lower sound level. Was thinking something from bequiet or noctua, but wanted to get the community's thoughts though. Thanks!

For some reason the fan control on my ASUS Z170 Deluxe's BIOS Fan Control does not work, but they are PWM fans do work with software control, this plugin worked well thanks for the tip!

Hello, I have an unRaid server that I use for a handful of things including hosting my array, a Windows 10 instance for gaming (use gpu pass through and a HDMI emulator for headless PARSEC Game streaming to anywhere in my house), two ubuntu servers for hosting a Jenkins CI Build server, and a Plex server. Theres a few docker images that are running on there as well, but that shouldn't matter. I was wondering if there was something like SpeedFan for unRaid or if there was some way to configure the fan speed. I have a Xen processor with a 280 mil AIO on it, so cooling is fine, and its fine if its loud under load, but like in the middle of the night its blowing lots of air for no reason. Just trying to figure out if there is any possible solution. If not could I pass through the fan controllers to the WIndows 10 VM? Thanks, Taylor D.

Oh thats what you mean, makes sense. I'm not sure if OP wants a automated system, I like the idea of doing nothing though haha, classic programmer in me. Neural networks are pretty fun haha, Amazon and Microsoft have some that are already built that they could pretty easily use but thats no longer free so....

Yeah it would be a lot easier, but you still need the application to be able to look at the origional image and generate some keywords from it to search from right? Or else how does it know what keywords to search for? I could be thinking about it totally wrong though to be fair

This is very powerful and I ahve used it in the past for some fun lil automation scripts, and it does allow for a lot more powerful things to be done than what AHK offers, highly reccomended

Like every other reply has said, you do not need a beast of a PC to get into developing, even for deep learning. Well not getting started at least. The amount of processing required scales with the complexity of the task at hand, and the scale if your data set. I do a lot of deep learning projects for work, but I work from home, and I have a few PCs. For development you can really use anything, it not that hard. But really accelarating a deep learing application will not scale well on even the best of CPUs. My main workstation that I use for work (recently convinced the boss to pay for my upgrade hehe) is a based on a Threadripper 3970x which is 32 whole cores, and even that is kinda lame for like deep learning work loads. Most APIs and other tools for deep learning accelaration rely on CUDA accelaration, so nVidia GPUs are the way to go. Even a 1060 would out perform a 32 Core CPU, because of how they work fundamentally. CPUs have very powerful cores but not a lot, GPUs have thousands of CUDA cores, which are very weak and are not very flexible as far as the work loads that they are compatible with, as they are not designed for that purpose in mind. GPUs are very good at doing lots of math very very fast, and so in this sense they are the king for GPU accelaration. IMO just start with what you have and learn, as its not like deep learning is something that a developer picks up over night. Then you can always use AWS spot instances to get a box to run your code, and then shut down if you get to the point where your code is too hard to run on your machiene. Then if the time comes and you want to build a workstation get a few GPUs for you system, and lots of RAM for virtualization since Windows is not the best for deep learning. The APIs that really are cutting edge exist mostly on Linux as of now.