The graphic processing unit (GPU) is an essential part of workstations for running 3D applications, computer-aided design (CAD) work, machine learning projects, simulations, etc. SyncVDI is a remote-visualization platform built to achieve greater graphic performance and workstation optimization.
1. On-Premise Virtual Workstations:
- Organizations use SyncVDI along with Linux KVM hypervisor to build NVIDIA vGPU-based infrastructure. This is useful for an organization that needs to provide high-end workstations to a large number of users with a centralized management system.
- Multiple virtual workstations are created on a single physical server.
- Administrators can customize the CPUs, RAM and GPU memory of each virtual workstation as per the requirement.
2. Cloud-based Workstations:
- The use case for SyncVDI on a public cloud is for an organization that needs NVIDIA GPU-based high-end workstations but does not want to invest in physical hardware and maintain it.
- It provides user, storage and on-demand workstation management from any supported cloud provider.
- Additionally, the platform provides detailed reports on resource usage, which can be used to monitor costs and plan appropriately for budgets.
- One potential issue with using a public cloud for high-end computing is latency. SyncVDI can help mitigate this issue by providing a seamless user experience, even in high latency.
3. Workstations Pool:
- The possible use case for SyncVDI is for an organization that wants to provide a pool/hub of workstations within their premises, which users can access remotely.
- It creates a pool/hub of workstations within their premises, which users can access remotely. The organization sets up SyncVDI to manage the workstations and allows users to access them from anywhere with an internet connection.
- Users can request a workstation session from the pool/hub for their use.
- The platform provides detailed reports on resource usage, which can be used to monitor costs and plan appropriately for budgets.
Overall, SyncVDI can be a cost-effective and efficient way to provide high-end computing and graphic capabilities, while optimizing the usage of those resources per user.