Coreframe Cloud
Coreframe Cloud provides Windows GPU workstations for architecture, interior design, 3D visualization, rendering and engineering. Customers connect from a Windows computer using the Coreframe Connect app and work on a desktop with a dedicated NVIDIA RTX GPU. Blender, D5 Render, Twinmotion and Unreal Engine are preinstalled; commercial applications require the customer's own license and can be set up with assistance. On-demand access starts at $1.49 per GPU-hour and is billed by the minute from a prepaid wallet. Team plans with shared hours and storage are also available. Files saved to the project drive remain between sessions, while standard workstation sessions reset to a clean image; an optional persistent workstation retains its Windows disk. Workstations are hosted in a Tier III data center in India. It serves architects, interior designers, 3D artists, visualization studios and engineers who need GPU-intensive software without maintaining workstation hardware.
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NVIDIA GPU-Optimized AMI
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit.
This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions.
This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'
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NVIDIA virtual GPU
NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. Deliver performance virtually indistinguishable from a bare metal environment. Leverage common data center management tools such as live migration. Provision GPU resources with fractional or multi-GPU virtual machine (VM) instances. Responsive to changing business requirements and remote teams.
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V2 Cloud
4.7 out of 5 stars
(6 Ratings)
V2 Cloud is a virtual cloud computing platform that enables organizations to securely deliver workstations and all of the computing resources associated with them, such as files and databases, business applications of any kind, and servers of any kind including Linux, to users anywhere in the world. While V2 Cloud is often described as Desktop-as-a-Service (DaaS), it goes well beyond virtual desktops: it's a complete cloud computing environment that brings desktops, applications, data, and servers together in one managed platform.
Unlike traditional VDI solutions that require significant IT resources and specialized infrastructure expertise, V2 Cloud provides an intuitive, managed platform that can be deployed in minutes. Organizations can centralize computing resources, improve security, simplify IT operations, and support remote, hybrid, branch, and distributed workforces without investing in on-premise infrastructure.
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