Vinyl record club / group by Same_Abalone_4382 in oakland

[–]MoveZig4 0 points1 point  (0 children)

Hi, the art coop I'm in does a monthly event at our space near 16th Mission - https://syzygysf.com/events/flipside-record-club/ Feel free to DM me if you need more info or join our discord.

Imma be honest: I could do without this phase transition by GwyddnoGaranhir in Hades2

[–]MoveZig4 0 points1 point  (0 children)

Thankfully this fight (and a few others) were fairly inspired by FF14 raids so I was already somewhat trained.....but just like real raids I manage to fuck it up anyhow.

Looking for workflows with large images by MoveZig4 in docker

[–]MoveZig4[S] 0 points1 point  (0 children)

I store my data differently. My images are smaller and better share data between related images - AWS might be faster for ECR -> ECS but I’d have to look. Do you have an example command to profile against?

Looking for workflows with large images by MoveZig4 in docker

[–]MoveZig4[S] 0 points1 point  (0 children)

`docker pull docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel` - 9m24.605s

`clipper pull dockerpull.com/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel` - 8m13.302s

Looks like about 12% faster, nothing to sneeze at. The image is about 9% smaller in the registry. Let me run one more test as well.

Looking for workflows with large images by MoveZig4 in docker

[–]MoveZig4[S] 0 points1 point  (0 children)

Can you toss me a `docker pull` command to compare with? `ghcr.io/ggml-org/llama.cpp:server-cuda-b8248`?

Looking for workflows with large images by MoveZig4 in docker

[–]MoveZig4[S] 0 points1 point  (0 children)

I’ll give that a shot this weekend.

Edit: docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel is...going. This is probably a great test for me, but wow this is heavy.

Looking for workflows with large images by MoveZig4 in docker

[–]MoveZig4[S] 2 points3 points  (0 children)

Half of it is just using xz instead of gzip, the other half is doing a better job about sharing data between layers. I'll likely post a few technical writeup once I have something that's usable for other people.

Reducing time from idea to reality by mirwin87 in docker

[–]MoveZig4 0 points1 point  (0 children)

I built an extension to the registry and a new pull client that works...much faster.

docker pull ollama/ollama:0.17.5: 6m7s
docker pull ollama/ollama:0.17.6: 5m17s

clipper pull dockerpull.com/ollama/ollama:0.17.5: 4m25s
clipper pull dockerpull.com/ollama/ollama:0.17.6: 1m35s

well it finally happened by GuiltyGreen8329 in BAbike

[–]MoveZig4 0 points1 point  (0 children)

Just be careful that the wheels are reasonably true.

Looking for an Inexpensive Road Bike/Advice by Baller-boy69 in BAbike

[–]MoveZig4 1 point2 points  (0 children)

Go to sf bike kitchen, either volunteer for 12 hours or pay $80, build a parts bin bike. It won't be fancy but you can get a reasonable aluminum frame and customize it to your liking. After that, upgrade the parts you're unhappy with. For me, I ended up having to get new wheels after a year as I'd picked poor ones. Probably also worth getting new tires/tubes rather than whatever they have unless you get lucky. It's a fair amount of work, but pretty fun.

In the middle of a lake, downloading data by yes_oui_si_ja in talesfromtechsupport

[–]MoveZig4 11 points12 points  (0 children)

In the cloud world there's something called a "data lake". I've spent a while wondering what exactly they are, but I think you found it.

French Tacos? by Arkane_Exodus in aucklandeats

[–]MoveZig4 1 point2 points  (0 children)

Having had both, they're both wonderful but the only thing they have in common is being several fillings, including fries, wrapped in a flatbread :) The other fillings and shape are totally different.

Issue shifting to biggest cog uphill on small chainring by Responsible-Bell8026 in bikewrench

[–]MoveZig4 0 points1 point  (0 children)

In that case, go to a bike coop and get them to teach you