Search Results for "virtual gpu"

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.

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.

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,...

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.

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....

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.