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Joined 1 year ago
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Cake day: December 12th, 2023

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  • What happens if the NAS dies though? What does recovery look like?

    Is it possible to recover the data from the drives without Synology’s OS? If so what is that process and how difficult is it to do correctly?

    I know that with ZFS, recovery is independent of vendor OS and/or hardware, so if the hardware dies you can just throw the drives into any COTS system with enough ports, but I’m genuinely unsure if that is the case for Synology or not.


  • ZFS, btrfs, and other software RAID solutions can use mixed drives w/o much issue as long as you make sure that the capacities match or that you set the array up with the smallest disk size in mind.

    Do not use hardware raid controllers. They provide no meaningful performance benefit over software raid and make data recovery much more difficultm(if not impossible) in the event of hardware failure.







  • Yeah, I used Chrome up until extremely recently because genuinely no browser Just Works to the extent Chrome does.

    Fast, good media codec support, Web API support for hardware access for PWAs, doesn’t lock up w/ a lot of tabs (post-quantum FF is better about this, but not quite there), excellent DevTools, and just generally snappier and more polished than even chromium.

    I switched to firefox recently exclusively for better home-manager support, and other than the ability to use home-manager more easily, it’s just a slightly slower and jankier experience at all times whether it’s requiring transcode for Jellyfin, laggy WebGL performance, janky DevTools, or missing WebAPIs.


  • Why are you being so condescending about this?

    FPGAs are a great tool, but they’re not magic.

    They are a great way to prototype ASICs or for performing relatively simple low latency/high-throughput tasks below the economies of scale where actually taping out an ASIC would make sense but there is pretty much no case where an FPGA with a bunch of the same logic path is going to outperform a dedicated ASIC of the same logic.

    NPUs are already the defacto ASIC accelerator for ML. Trying to replicate that functionality on an FPGA fabric of an older process node with longer path lengths constraining timing is going to be worse than a physically smaller dedicated ASIC.

    It was the same deal with crypto-mining, the path for optimizing parallel compute is often doing it badly on a GPU first, moving to FPGA if memory isn’t a major constraint, then tape out ASICs once the bugs in the gateware are ironed out (and economies of scale allow)

    And that doesn’t even begin to cover the pain of FPGA tooling in general and particularly vendor HLS stacks.










  • That’s news to me considering the EPA-rated fuel economy of vehicles with both hybrid and pure ICE drivetrains is universally higher for the hybrid versions.

    An ICE vehicle needs a much larger engine than is truly necessary due to the inefficiencies and limitations of mechanical transmissions, whereas a hybrid can have a much smaller, more efficient engine.

    A hybrid can potentially act like a ‘perfect’ transmission, capable of taking in power from an engine running at its single most efficient RPM and, with the aid of battery storage, produce any combination of speed and torque that has an average power less than the output of the ICE.