BOINC VS Artifactory

BOINC Reviews

Artifactory Reviews

BOINC mentions (105)

• Bitcoin Block 840000

  The only way I can foresee a cryptocoin actually holding value is if spending the coin meant spending processing cycles and RAM doing things like this: https://en.wikipedia.org/wiki/List_of_volunteer_computing_projects But in more general sense, less like https://boinc.berkeley.edu/ and more like AWS... It's the only way to have value, actually holding computing power in a distributed network. - Source: Hacker News / 28 days ago

• Folding@Home: We empower anyone to become a citizen scientist

  Or alternatively: Boinc[1], which has a bunch of different projects. [1] https://boinc.berkeley.edu/. - Source: Hacker News / 2 months ago

• Distributed Inference and Fine-Tuning of Large Language Models over the Internet

  Made me think of Gridcoin and BOINC https://boinc.berkeley.edu/. - Source: Hacker News / 5 months ago

• Have you ever donated your computing power with BOINC? Take 5 minutes to fill out the 2023 BOINC Census!

  The BOINC Census is back for another year! BOINC is an open source software and network for volunteer computing. People can use it do donate their CPU/GPU power to various scientific research areas like cancer, drug discovery, mapping the galaxy, and more. Source: 6 months ago

• Ask HN: What should I do with my leftover bandwidth?

  A few years back, I was in a similar situation and found BOINC(https://boinc.berkeley.edu/) to be a great way to contribute. It's a platform that lets you support various scientific research projects by sharing your computational power and bandwidth. However, it's worth noting that BOINC might tends to be more CPU/GPU intensive rather than bandwidth-heavy. - Source: Hacker News / 7 months ago

Artifactory mentions (20)

• Where to store executables shared by a team/project

  I kind of hate it, but Artifactory seems popular at companies: https://jfrog.com/artifactory/. Source: 11 months ago

• Adding Virtual Environments to Git Repo

  When not providing all dependencies yourself, you might suffer from people deleting the packages you depend on (IMHO a very rare scenario). If it is really that critical (hint: usually it isn't), create a local mirror of Pypi (full or only the packages you need). Devpi, Artifactory, etc. Can do that or you just dump the necessary files into Cloud storage, so you have a backup. Source: about 1 year ago

• Authenticated Docker Hub image pulls in Kubernetes

  Operate a pull-through cache registry, like Artifactory or the open source reference Docker registry. This will allow you to pull images from Docker Hub less frequently, improving your chances of staying under the anonymous usage limit. - Source: dev.to / about 1 year ago

• Concretely, how do you trust the experts? That is, how do you a) identify experts relevant to something and b) determine if they have a consensus (and if so, what it is) on a given topic?

  Like suppose for a second that . . . Idk . . . a product team wants our ci workflows to start using Artifactory. Okay great, I don't know Artifactory integration but I'm going to tell them "Sure, I'll get right on that.". Source: about 1 year ago

• What do I do with large "asset" files?

  If these "assets" have an independent release schedule I would treat them separately (especially if they are externally provided). If they are not built from source then treat them as artefacts, they don't belong in git. You can store the in an artefact repository (like Artifactory of Nexus) or (as u/nekokattt points out) in something like S3. Source: over 1 year ago