NVIDIA virtual GPU Description
NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.
NVIDIA virtual GPU Alternatives
RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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V2 Cloud
V2 Cloud delivers secure, high-performance, and fully managed cloud desktops you can access from anywhere, anytime.
Our solution is designed for Independent Software Vendors, MSPs, IT managers, and business leaders aiming to simplify infrastructure, increase data protection, and scale with ease.
Seamlessly start using desktops and apps in the cloud with V2 Cloud to enable secure remote work from any location. Benefit from end-to-end IT services, proactive threat defense, and responsive support for resilient business operations.
Run demanding software smoothly with GPU-accelerated virtual machines built for performance and stability.
Enjoy fast, expert-level assistance and global multilingual support.
See how easy and affordable desktop virtualization can be. Get started with V2 Cloud today.
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Azure Virtual Machines
Transition your essential business operations and critical workloads to the Azure infrastructure to enhance your operational effectiveness. You can operate SQL Server, SAP, Oracle® applications, and high-performance computing on Azure Virtual Machines. Opt for your preferred Linux distribution or Windows Server for your virtual instances. Configure virtual machines equipped with as much as 416 vCPUs and 12 TB of memory to meet your needs. Enjoy impressive performance with up to 3.7 million local storage IOPS for each VM. Leverage advanced connectivity options, including up to 30 Gbps Ethernet and the cloud’s pioneering 200 Gbps InfiniBand deployment. Choose from a variety of processors, including AMD, Ampere (Arm-based), or Intel, based on your specific requirements. Safeguard sensitive information by encrypting data, securing VMs against cyber threats, managing network traffic securely, and ensuring adherence to regulatory standards. Utilize Virtual Machine Scale Sets to create applications that can easily scale. Optimize your cloud expenditure with Azure Spot Virtual Machines and reserved instances to maximize cost-effectiveness. Establish your private cloud environment using Azure Dedicated Host, and ensure that mission-critical applications operate reliably on Azure to bolster overall resiliency. This strategic move not only enhances performance but also positions your business for future growth and innovation.
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Pricing
Free Trial:
Yes
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Company Details
Company:
NVIDIA
Year Founded:
1993
Headquarters:
United States
Website:
www.nvidia.com/en-us/data-center/virtual-solutions/
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In Person
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Online Support
NVIDIA virtual GPU Features and Options
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