QEMU
VirtualBox
VMware Workstation
Proxmox VE
Portable Virtualbox
Parallels Desktop
TeamViewer
Hyper-V
Google Kubernetes Engine
Kubernetes
Amazon ECS
Docker
Amazon EKS
OpenShift Container Platform
Apache Karaf
Inuvika OVD Enterprise
Google Kubernetes EngineBased on our record, Google Kubernetes Engine seems to be a lot more popular than QEMU. While we know about 49 links to Google Kubernetes Engine, we've tracked only 3 mentions of QEMU. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Qemu.org, wiki.qemu.org, patchew.org, kvm-forum.qemu.org are all Podman containers on the same machine (running CentOS Stream 9) with an nginx front-end. Nginx and certbot are the only two things that run outside containers. Source: almost 2 years ago
As someone who enjoys playing video games, and a recent convert to Linux, I was well aware of the derth of support for games. I was also aware of some of the solutions, one of those being GPU passthrough to this thing called QEMU. QEMU is a fast and lightweight machine emulator and virtualizer. This was of course something that interested me, so I went about exploring QEMU and playing with it. When I first started... - Source: dev.to / over 2 years ago
Install the windows-version using https://WineHQ.org or put in an a VM, like https://qemu.org/. Source: almost 3 years ago
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 2 months ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 3 months ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 7 months ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
VirtualBox - VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as...
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
VMware Workstation - VMware Workstation is a multiple operating system handler to easily evaluate the any other type of new operating systems.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
Proxmox VE - Proxmox is an open-source server virtualization management solution that offers the ability to manage virtual server technology with the Linux OpenVZ and KVM technology.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.