Hello PCMR,

I’m currently dabbling in a side project and want to be as economical as possible, both in money and space, on getting an NVidia setup. My use cases, sorted in order of importance:

  1. AI side project dabbling (yes, Transformers, but also some old school stuff like ConvNets, GANs, basically to catch up on some domain knowledge)
  2. CUDA / C++ Torch dabbling: uncovering some lower layers below PyTorch
  3. Distributed Systems learning: it would be nice to run a Kubernetes cluster without wiring physical Ethernet cables to a switch :')
  4. General dev: Being able to run an emulator and 10 tabs would be nice
  5. Gaming: nothing special, maybe Microsoft Flight Sim?

I’ve been out of the PC game since the age of GTX 9xx, and no longer consider myself an informed shopper, would love to get some recommendations, and even some guidance via Socratic method so that I can be more clear about my actual requirements. Thank you so much for your time, even if you just spent it reading :)

  • imaqtpie@sh.itjust.works
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    1 year ago

    Sorry I cannot help you with this, but I do love small form factor PCs. When Lemmy grows more we have to remake communities for sffpc and also cyberdecks.

  • Lengsel
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    1 year ago

    For a small setup, are you talking about doing an ITX build?

    Since you have a wider range of requirements or purpose for the build, I’m concerned that you might have to decide between economical and productive.

    In the cheaper side, I would suggest a Ryzen 7 5800x3D, at least 32GB of RAM, and RTX 3080 from last gen. If you can spend more money for new hardward features, I would say 7800x3D and RTX 4070.

    If you were doing heavy development work and naking money from your computer, I would suggest the 16-core Ryzen 9 7950x and 64GB of memory/RAM.

  • themoonisacheese@sh.itjust.works
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    1 year ago

    nothing special Lists one of the most demanding games of the decade

    In all seriousness, without a budget it’s very hard to help you, but here are some pointers:

    Nvidia 3xxx series cards are huge because of the heatsink, but the PCB is actually fairly small, especially on founders edition cards (sold by Nvidia). If you can figure out a way to cool them they make for pretty powerful small cards.

    However, Nvidia gatekeeps VRAM in their cars so you buy their $10k special boy ai cards that are just cards with a shitton of vram on them. AMD is coming around but I don’t think we’ll see much improvement until next gen.

    CPUs have flipped again and now AMD is king for gaming. They are also kind of nice on the heat output, making them a prime choice for sffpc.

    Everything else you listed is just a factor of RAM. Go with 64 Gb since you’re going to load large models, and that’ll cover you for a while.

    We are currently on the cusp of the migration to DDR5, but we are just about at the point where the best DDR5 sticks outperform average ddr4 sticks. Either wait about a year or go with ddr4 ( which severely limits your upgrade options)

    If you’ve been out of the PC game you may not be aware that SSDs have become tiny, through NVMe drives. They are a tad more expensive but since you want small that’s what you want.

    They also make small form factor power supplies now, which was a problem for a while. If you want really tiny, they even make laptop-style PSUs that end in a 24-pin connector instead of a barrel jack, but you’re not powering a dedicated GPU with that.

    PCIe extenders (“raisers”) are commonplace now, that might help you to fit a GPU in a small case.

    I’d suggest looking around on PCPartPicker which is still the definitive source for compatibility options and pre-selected builds that actually work well.

    And finally I’ll add a word of warning: small form factor is hard as fuck. If you haven’t built a PC in a while (I’m assuming you still know how to, it hasn’t changed that much) I’d suggest simply going for a regular ATX build before embarking on the nightmare that it is. Also, small form factor cases are generally a compatibility nightmare. In general, you want to pick a case first and then pick components that will fit in it.