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Yeah, Linux generally supports older hardware for much longer, but it’s not only that. Linux devs are fairly attentive about performance, clean code, consistent frameworks, etc, meanwhile Microsoft is out there making random OS components in React just because it’s a little easier. From what I’ve heard the culture there is to not care about how something is done as long as it works.
i feel like in general there’s not usually much of a reason to upgrade after a single generation, regardless of the vendor, unless you have some very specific circumstances
yes, the b580 is good, but it’s not that good
Linux performance improvements are most noticeable on lower end hardware, at the higher end performance VS windows is usually pretty random from what I’ve seen.
I find that having a tissue in my nose, eating, sipping water, or playing an instrument that goes in my mouth all very effectively mitigate the urge to sneeze. When I get bad allergies or a cold I often have a constant strong urge to sneeze for up to half an hour at a time, so I sip water slowly for a while.
don’t have word but trying it rn, loading into new blank documents or mostly empty ones:
notepad: ~3 seconds the first time, ~1 second immediately after
libreoffice writer: ~7 seconds the first time, ~2 seconds immediately after
onlyoffice docs: ~5 seconds the first time, ~2 seconds immediately after
collabora office docs: ~12 seconds the first time, ~2 seconds immediately after
vs code: ~2-3 seconds the first time, ~1.5 seconds immediately after
visual studio 2022: ~5 seconds to title screen, quit and opened a file in ~5 seconds, ~4 seconds immediately after
servo: ~3 seconds the first time, ~2 seconds immediately after
chrome canary: ~2-3 seconds the first time, ~1.25 seconds immediately after
tengscribe: ~1.25 seconds the first time, ~1 second immediately after
texstudio: ~5 seconds the first time, ~3 seconds immediately after
there is a clear winner here. i completely forgot that i had that program lol
The most recent estimates are between 2.5 and 7 million people in the area now covered by the US and Canada. The areas further south were a lot more populated.
I heavily dislike them locking down their cameras. Idk if that was a particularly recent move or not, but I would never consider the hardware as open if it has built in vendor locking functions.
Not an LLM or a Pi Pico but I think this project is pretty cool regardless
A few years ago I installed Linux on a $40 used Chromebook with 4gb RAM. It runs Blender, Freecad, Minecraft, Celeste, Portal, Kdenlive, etc perfectly acceptably. It has CPU performance a tiny bit worse than the Pi 5, but is x86 and comes with a mouse, keyboard, battery, etc.
I don’t think comparing performance over used PCs is ever going to be favorable for a pi, I think the reasons to get one are reliability, gpio, and the small form factor.
there are a lot more comments on their profile on piefed, some must be in communities that aren’t federated here or smth
Yes, it works out to a ton of power and money, but on the other hand, 2x the computation could be like a few percent better in results. so it’s often a thing of orders of magnitude, because that’s what is needed for a sufficiently noticeable difference in use.
basing things on theoretical tops is also not particularly equivalent to performance in actual use, it just gives a very general idea of a perfect workload.
They’re also the second largest battery manufacturer in the world, behind CATL, another Chinese company.
.008%, you forgot to convert to a percentage
Still very small though
At the datacenter scale Gaudi 3 was pretty good, at least when it came out.
Intel GPU support?
ZLUDA previously supported Intel GPUs, but not currently. It is possible to revive the Intel backend. The development team is focusing on high‑quality AMD GPU support and welcomes contributions.
Anyways, no actual AI company is going to buy $100M of AI cards just to run all of their software through an unfinished community made translation layer, no matter how good it becomes.
OneAPI is decent, but apparently usually fairly cumbersome to work with and people prefer to write software in cuda as it’s the industry standard (and the standard in academia)
Intel’s Gaudi 3 datacenter GPU from late 2024 advertises about 1800 tops in fp8, at 3.1 tops/w. Google’s mid 2025 TPU v7 advertises 4600 tops fp8, at 4.7 tops/w. Which is a difference, but not that dramatic of one. The reason it is so small is that GPUs are basically TPUs already; almost as much die space as is allocated to actual shader units is allocated to matrix accelerators. I have heard anecdotally.
It’s not even a pivot. They’ve been focusing on AI already. I’m sure they want it to seem like a pivot (and build up hype); the times before apparently just having the hardware and software wasn’t enough. nobody cared when the gaudi cards came out, nobody uses sycl or onednn, etc
i remember this from the paper (pg. 14)
ROCM still barely works on Windows and it’s only recently been supported at all IIRC.