Google Cloud Deep Learning VM Image
Provision a VM quickly with everything you need to get your deep learning project started on Google Cloud. Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular AI frameworks on a Google Compute Engine instance without worrying about software compatibility. You can launch Compute Engine instances pre-installed with TensorFlow, PyTorch, scikit-learn, and more. You can also easily add Cloud GPU and Cloud TPU support. Deep Learning VM Image supports the most popular and latest machine learning frameworks, like TensorFlow and PyTorch. To accelerate your model training and deployment, Deep Learning VM Images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers and the Intel® Math Kernel Library. Get started immediately with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility. Deep Learning VM Image delivers a seamless notebook experience with integrated support for JupyterLab.
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UberCloud
5.0 out of 5 stars
(3 Ratings)
Simr (formerly UberCloud) is a cutting-edge platform for Simulation Operations Automation (SimOps). It streamlines and automates complex simulation workflows, enhancing productivity and collaboration. Leveraging cloud-based infrastructure, Simr offers scalable, cost-effective solutions for industries like automotive, aerospace, and electronics. Trusted by leading global companies, Simr empowers engineers to innovate efficiently and effectively. Simr supports a variety of CFD, FEA and other CAE software including Ansys, COMSOL, Abaqus, CST, STAR-CCM+, MATLAB, Lumerical and more. Simr automates every major cloud including Microsoft Azure, Amazon AWS, and Google GCP.
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Web3D
Web3D is a collection of technologies and standards used to create, display, and interact with three-dimensional graphics directly within web browsers. It enables developers to build interactive 3D environments, visualizations, animations, and simulations without requiring users to install dedicated desktop applications. Web3D technologies include WebGL, WebGPU, WebXR, X3D, and browser-based 3D rendering frameworks. These technologies support real-time rendering, lighting, textures, animation, and user interaction with three-dimensional objects. Web3D is used in applications such as virtual product demonstrations, architectural visualization, online gaming, education, engineering, and immersive digital experiences. Its integration with standard web technologies allows 3D content to be delivered across compatible desktop, mobile, and extended reality devices.
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Rio Terminal
5.0 out of 5 stars
(1 Rating)
Rio is a terminal application that’s built with Rust, WebGPU, Tokio runtime. It targets to have the best frame per second experience as long you want, but is also configurable to use as minimal from GPU.
The terminal renderer is based on redux state machine, lines that has not updated will not suffer a redraw. Looking for the minimal rendering process in most of the time. Rio is also designed to support WebAssembly runtime so in the future you will be able to define how a tab system will work with a WASM plugin written in your favorite language.
Rio uses WGPU, which is an implementation of WebGPU for use outside of a browser and as backend for Firefox’s WebGPU implementation. WebGPU allows for more efficient usage of modern GPU’s than WebGL.
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