Using virtualized GPUs with ML

ML is being extensively used in research and development these days, and the computing power enhancement of accelerators such as GPUs has enabled a rapid adoption of ML applications.

Designers, engineers, and architects are the extensive end users who frequently use 3D graphics for a wide-range of use cases and expect their IT teams to assist them in this. They use high-end graphics workstations handling 3D models of automobiles, manufacturing components, and buildings in real time. They are part of manufacturing, architecture, engineering and construction, higher education, public sector, oil and gas, and so on. They have to view and control this rich, visual 2D and 3D data in real time. Power-user groups such as clinicians, engineers, and office professionals represent millions of users who rely on rich 2D and 3D graphics for their deliverables.

Organizations are evolving today as their footprint increasing with the global workforce who are geographically distributed teams using virtual desktop with graphics from anywhere, anytime and on any workstation. As these power users are working in the field and need application access from anywhere using their end-point devices such as laptops, tablets, and mobile devices, they need to collaborate with their team members in real time without the risk of data loss and with full compliance. We have to redefine the workflow for designers and engineers with a Virtual Desktop Infrastructure (VDI) solution:

 VMware Horizon VDI with NVIDIA GPU

A VMware VDI solution is certified with all leading 3D apps workstations—world-class graphics from endpoint to data center are accessible on any device while lowering the operating expenses. VMware Horizon with protocol Blast ensures a tremendous user experience based on NVIDIA GRID vGPU technology by providing secure, native, 3D graphics from the cloud and delivered across any endpoint devices and from any locations with lower OpEx. Graphics commands executed on each virtual machine are directly passed to the physical GPU without any overheads at the hypervisor layer with NVIDIA GRID vGPU technology.

It helps with application compatibility as the applications have access to the same graphics card as earlier on their workstations. NVIDIA GRID vGPU makes it possible for the GPU hardware to be time-sliced to provide the best in shared virtualized graphics performance.

VMware, vSphere, and VMware Horizon ensure power users, designers, and engineers can get a fabulous graphics experience that is equivalent to native hardware and certified by NVIDIA and VMware for most of the important business applications.

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