juliaup
kubevirt
| juliaup | kubevirt | |
|---|---|---|
| 10 | 50 | |
| 892 | 5,103 | |
| 1.2% | 1.7% | |
| 9.2 | 10.0 | |
| 3 days ago | 2 days ago | |
| Rust | Go | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
juliaup
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How to tell Quarto where the julia-1.8 kernel is?
There is juliaup, available in the Microsoft store, for managing julia versions: https://github.com/JuliaLang/juliaup
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Is it better to install Julia with its own executable or to install it in an Anaconda environment?
Better use the official binaries from https://julialang.org/downloads/. For Windows, best use the Julia app in the MS Store (https://github.com/JuliaLang/juliaup ).
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Neovim can't find executable path for program
Thanks - fwiw, I currently use juliaup, which basically does the same thing. Unfortunately, the problem isn't that Julia isn't on the path (it is), it's that Neovim's exepath can't find it, for some reason. :)
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Julia 1.8 released
But it’s considered prerelease for Mac and Linux according to its git repository. So presumably it won’t become the default until it’s not experimental any more.
- appropriate way to run two versions of Julia on linux
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Créer simplement un cluster k8s dans PhoenixNAP avec Rancher en quelques clics …
GitHub - JuliaLang/juliaup: Julia installer and version multiplexer GitHub - JuliaPluto/PlutoUI.jl GitHub - fonsp/Pluto.jl: 🎈 Simple reactive notebooks for Julia
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I don't want to abandon Rust for Julia
Use the right tool for the job! I would never write a system utility or OS or user application or compiler in Julia, for example. juliaup is a Julia utility being written in Rust for this exact reason!
- Small Neural networks in Julia 5x faster than PyTorch
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What's the standard procedure for package requests?
And yes, I know about jill.py and have considered using it as well. It seems fairly straightforwad to use. A similar project that I found interesting is juliaup. Still, I would definitely prefer just using zypper instead of relying on third party tools. That's why I figured I might as well ask on here.
- Get first n element from an array
kubevirt
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Kubernetes For The Sysadmin - Enter KubeVirt
First, download virtctl for ARM: https://github.com/kubevirt/kubevirt/releases/tag/v1.1.0-alpha.0
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KubeVirt v1.0 has landed! This release demonstrates the accomplishments of the community and user adoption over the years
The full list of changes can be found in the Release notes. There are performance and scalability benchmarks published for the v1.0 release.
- What is the status of Red Hat Enterprise Virtualization and oVirt?
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Proxmox, CEPH and kubernetes
If you're happy with k8s and longhorn, why add Proxmox as another layer underneath? Consider kubevirt ?
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Kubernetes for temporary VM?
Have you looked at http://kubevirt.io/ ?
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How does your company roll out code?
If the answer to "how do you run VMs" is "Kubernetes does it" then its about https://kubevirt.io/
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Docker's deleting Open Source images and here's what you need to know
We are even using Docker Hub to store and distribute VM images...
https://github.com/kubevirt/kubevirt/blob/main/containerimag...
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Blog: KWOK: Kubernetes WithOut Kubelet
Docker Desktop runs dockerd in a Linux VM with Apple's hypervisor framework. You can also run containers in a Linux VM with Parallels or VMware Fusion hypervisors. But you can't run VMs inside those VMs as it stands today. This works fine on Intel Macs which means you can't experiment and use KVM - one of the killer features of Linux and things like https://kubevirt.io/
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Docker + portainer vs k8. EILI5
Proxmox VE can run VMs and LXC containers (see my comment below on LXC). Kubernetes can run OCI containers, but there's also KubeVirt for running VMs.
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Live Switching Pods to another Node on Resource Limits
Another option would be something like KubeVirt but that is a different use case where you are actually running a VM in a container for hard-to-containerize workloads.
What are some alternatives?
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
harvester - Open source hyperconverged infrastructure (HCI) software
jill.py - A cross-platform installer for the Julia programming language
firecracker-containerd - firecracker-containerd enables containerd to manage containers as Firecracker microVMs
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
kata-containers - Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/
vectorflow
k3s - Lightweight Kubernetes
jill - Command line installer of the Julia Language.
lxd - Powerful system container and virtual machine manager [Moved to: https://github.com/canonical/lxd]
Pluto.jl - 🎈 Simple reactive notebooks for Julia
cloud-hypervisor - A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.