NVIDIA and VMware today announced that NVIDIA GRID technology is available on the VMware Horizon DaaS Platform to deliver 3D graphics on virtualized desktops and applications delivered through the cloud.
The combination offers the industry’s only multi-tenant desktop-as-a-service (DaaS) platform for service providers to deliver graphics-rich desktops and applications to customers requiring visual computing, such as engineering firms, automakers, movie studios and retail designers.
DaaS can improve productivity by enabling mobile access and remote collaboration for project teams or contractors in multiple locations by delivering graphics-intensive 3D applications to users anywhere, at any time, on any connected device served.
Built on the NVIDIA Kepler architecture, NVIDIA GRID GPUs offer graphics performance combined with low-latency display technology to optimize performance on virtual desktops. Combined with the VMware Horizon DaaS Platform, users get no-compromise visual computing as a cloud service, enabling seamless mobile access and on-demand collaboration for visual graphics applications, such as Adobe Photoshop and Autodesk Design and Creation Suites.
Sumit Dhawan, vice president and general manager of End-User Computing at VMware, said: “It enables businesses to drive innovation via instant mobile access and collaboration across users worldwide by delivering exceptional 3D quality graphics applications from the cloud.”
VMware Horizon DaaS Platform enables service providers to deliver virtual workspaces, including desktops and 3D graphics applications, to end-users as a monthly cloud subscription service with predictable, easy-to-budget expenses.
NVIDIA CEO Jen-Hsun Huang and VMware CTO Ben Fathi announced the NVIDIA GRID technology on the VMware Horizon DaaS Platform.
In addition, NVIDIA and VMware revealed a joint development effort to enable VMware customers to use NVIDIA GRID vGPU (virtual GPU) technology for GPU sharing with VMware virtual machines. GRID vGPU is designed to deliver graphics commands directly to the GPU, allowing the GPU hardware to assign the right amount of memory to meet the requirements of each user.