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maximumzero

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About maximumzero

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    Newbie
  1. Hey LTT crew, quick brain-pickin' question for y'all. Currently parting out a new mITX build in the Lian Li TU150 case. I'm dropping in the ever-popular Ryzen 5 3600 CPU, and opting for a B550 motherboard so I have an upgrade path to Zen 3 processors in the future should I decide to do so. I'm currently deciding between the ASRock B550M-ITX/ac and B550 "Phantom Gaming-ITX/ax" motherboards and I'm having a hell of a time trying to decide if that $70 premium is worth it for my purposes. Comparison on ASRock's website here. As far as I can tell the major differences between the two is the Phantom Gaming board having an extra M.2 slot, a header for a front panel USB 3.2 Gen2 Type-C connector, and Wi-Fi 5 instead of Wi-Fi 6. The loss of a M.2 slot isn't a huge deal, as I have no issue dropping in a SATA SSD or HDD sometime in the future if I need more storage, and even replacing the M.2 drive completely if necessary. In regards to front panel connections, I'll probably just leave the front panel USB-C disconnected completely, as it seems like the adapters to get those connections up and running (1 and 2) will likely cost me in the ballpark of $30 anyway, and will limit those Type-A ports to USB 2.0 speeds in the end. (If someone has an alternate suggestion for this setup I'm all ears.) While the slower Wi-Fi is a bit of a bummer, my wireless router is Wi-Fi 5/ac at the moment and I don't intend on replacing it anytime in the near future. I don't plan on doing much tinkering outside of setting the RAM XMP properly in the EFI and probably hitting the "Auto-Overclock" button in Ryzen Master, so no extensive overclocking across the RAM, CPU, or GPU planned. I also intend on getting the variant of the TU150 with the aluminum side panel, so no RGB necessary, which means that LED strip on the Phantom Gaming isn't necessary, and in fact is hopefully something I can disable entirely at a EFI level. Anything that I'm missing here? Thanks guys/gals.
  2. Got about seven computers here at my workplace that are all waiting for work units. Seems a shame that Folding@Home has finally hit the big time and they can't get enough projects out for people to work on.
  3. I keep eyeballing this ZOTAC Mining GPU listing but I dunno how much of a pain it's going to be getting it up and running on my PCs since they're all running integrated graphics. I can just forsee the computer(s) trying to put video out through the card itself when that's not possible. https://www.ebay.com/itm/ZOTAC-P106-090-3Gb-192bit-GDDR5-mining-GPU/333484586470 I think I'd feel better if they were being shipped from the US, as it'd be easier to return if I had any issues. There's only one PC without onboard video, and then I'm concerned about the ZOTAC card being slowed down to 8x since I'll have to run a separate GPU on the 8x lane as well. Bleh.
  4. With Folding@Home tackling COVID-19 I've decided to install the software on all of my work PCs. They're used for graphic design and desktop publishing, so they have decent CPUs and stacks of RAM but nothing beyond integrated graphics. However they all have at least one free PCI-Express slot, and I'd lovet to stuff 'em full of low-cost GPUs specifically for folding. Are there GPUs around the $50 price point (new or used) that are compatible with Folding@Home or I am more or less SOL on that front?
  5. I was huge into Folding@Home during my college years, but that's over a decade ago at this point. With Folding@Home tackling COVID-19 I decided to go ahead and install it on all the PCs here at my workplace. None of them are intended for Gaming so they're strictly running the Folding processes on CPUs and they're all over the place in regards to age. (Ranging between a Ryzen 3 2200G all the way to a few Pentium D CPUs) Two of them have GPUs in them that are just for driving displays, but unfortunately they're a bit too old for Folding@Home's computations. Still, I'd love to use them for some form of Distributed Computing anyway. Does anyone have a project they can suggest that I can drop onto these GPUs while the computer's CPU handles Folding computations?
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