Compare NVIDIA virtual GPU vs. OneSource Cloud in 2026

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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.

Description

OneSource Cloud specializes in the design, construction, and management of sovereign AI infrastructure tailored for organizations in regulated sectors that cannot utilize public cloud for sensitive operations, such as healthcare and life sciences, financial services, government and defense, energy, legal, and research sectors. Our services include the provision of dedicated GPU compute as a managed offering, encompassing cluster design, hardware acquisition, data center colocation, deployment, and ongoing maintenance. The clusters are equipped with NVIDIA GPUs connected via InfiniBand for efficient multi-node training and inference, complemented by high-performance storage solutions and dedicated private networking. Each client benefits from a unique, isolated environment that ensures their data and models do not share hardware with other users, safeguarding their confidentiality. Our managed services extend to capacity planning, provisioning, workload scheduling, system monitoring, patching, and customer support. Each environment is meticulously configured to meet the client’s compliance standards, including regulations such as NIST 800-171 and specific data residency requirements. Currently, we operate over 20,000 GPUs across more than 96 data centers, ensuring robust support for our clients' complex needs in an increasingly data-sensitive landscape. This extensive infrastructure positions us as a leader in providing secure AI solutions for organizations facing strict regulatory demands.