Search Results for "virtual gpu"
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Showing 9 open source projects for "virtual gpu"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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GitHub Actions for DigitalOcean
GitHub Actions for DigitalOcean - doctl
GitHub Actions for DigitalOcean - doctl. Powerful and production-ready, our cloud platform has the solutions that devs like you need to succeed, whether you're building world-changing AI apps, running a side project, or building a business. GPU solutions for everyone—novice to expert. Run training and inference, process large data sets and complex neural networks, and deploy high-performance computing clusters. -
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Floem
A native Rust UI library with fine-grained reactivity
Floem is a cross-platform GUI framework for Rust. It aims to be extremely performant while providing world-class developer ergonomics. Supporting both GPU and CPU rendering, Floem gives you performance that's closest to bare metal. Also primitives are provided to help the developer to write performant UI code without too much effect. -
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Contour
Modern C++ Terminal Emulator
contour is a modern and actually fast, modal, virtual terminal emulator, for everyday use. It is aimed at power users with a modern feature mindset. Available on all 4 major platforms, Linux, OS/X, FreeBSD, Windows. GPU-accelerated rendering. Font ligatures support (such as in Fira Code). Unicode: Emoji support (-: 🌈 💝 😛 👪 - including ZWJ, VS15, VS16 emoji :-) Unicode: Grapheme cluster support. -
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LÖVR
Lua Virtual Reality engine
An open-source framework for rapidly building immersive 3D experiences. You can use LÖVR to easily create VR experiences without much setup or programming experience. The framework is tiny, fast, open-source, and supports lots of different platforms and devices. Runs on Windows, Mac, Linux, Android, WebXR. Supports Vive/Index, Oculus Rift/Quest, Pico, Windows MR, and has a VR simulator. Simple VR scenes can be created in just a few lines of Lua. Writen in C99 and scripted with LuaJIT,... -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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cozystack
PaaS and framework that replace or compete with AWS, VMware
Open Source AI-ready PaaS and framework for building your own cloud on bare metal and running managed Kubernetes, virtual machines, Databases-as-a-Service or for creating your own AWS/GCP/Azure competitor for ISP/MSP/hosting providers. CNCF Project - Control your data - Cut dependence from the tech giants - Enable digital sovereignty - Use modern tools and APIs with any server - Fully utilize GPU resources for AI Who is it for? Banks and fintechs, AI-driven companies, service providers and data centers, governances, regulated and privacy-conscious organizations, integrators and independent IT consultants -
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macOS Simple KVM
Tools to set up a quick macOS VM in QEMU, accelerated by KVM
macOS-Simple-KVM is a project that provides scripts and configuration files to easily set up and run macOS in a virtual machine using QEMU and KVM. It simplifies what is typically a complex process by offering a straightforward approach to creating a macOS VM on Linux systems with hardware virtualization support. The repository includes tools for preparing installation media, configuring virtual hardware, and managing VM launch scripts. By using KVM acceleration, the virtual machine runs with near-native performance, making it useful for testing, development, or personal experimentation. ... -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow.... -
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Azure Container Service Engine
Builds Docker Enabled Clusters
The Azure Container Service Engine (acs-engine) generates ARM (Azure Resource Manager) templates for Docker enabled clusters on Microsoft Azure with your choice of DC/OS, Kubernetes, OpenShift, Swarm Mode, or Swarm orchestrators. The input to the tool is a cluster definition. The cluster definition (or apimodel) is very similar to (in many cases the same as) the ARM template syntax used to deploy a Microsoft Azure Container Service cluster. -
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qemu
My changes to qemu for legacy free GPU passthrough
My changes to qemu for legacy free GPU passthrough. Only one adapter can use legacy vga regions at same time. This is an attemp to achieve a qemu gpu passthrough without legacy vga accesses to graphics card. Legacy io accesses to vga registers are replaced through MMIO accesses. Legacy accesses to vga memory are replaced through accesses to plain framebuffer. This avoids vga arbiter problems in linux kernel. -
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