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NICE Releases NICE Desktop Cloud Visualization (DCV) version 2012.1
By Nathesh, TMCnet Contributor
NICE released a new Desktop Cloud Visualization version 2012.1, providing remote access to 3D applications on Linux and Windows desktop environments. The service is packed with new features specifically focusing on usability, performance and security.
NICE’s Desktop Cloud Visualization (DCV) allows technical computing users to remote access 2D/3D interactive applications over a standard network, an approach that requires the server to be equipped with one or more GPUs – used for the OpenGL rendering – while the client software can run on “thin” devices.
The latest version uses a client-side console, which lets users enhance their experience by fine-tuning the image compression level based on network conditions and client device capabilities to monitor the actual bandwidth usage and frame rate. It also facilitates the deployment of all applications, so updates and patches are instantly available to everyone without any changes to original code.
NICE DCV enables right sizing of system allocation based on user’s dynamic needs and supports multiple user collaboration via session sharing.
NICE DCV reportedly integrates with EnginFrame Views, leveraging 2D/3D capabilities over the Web, including the ability to share an interactive session with other users for collaborative working. The new version of NICE DCV also allows the sharing of physical GPUs between multiple VMs, while maintaining full open GL acceleration and workstation-class performance.
“DCV is the only remote visualization product supporting GPU sharing on both Linux and Microsoft (News - Alert) Windows, allowing a better utilization of available hardware resources,” said Paolo Maggi, NICE R&D Manager.
Notable benefits of NICE DCV include enhancements in business efficiency and team performance by ensuring real-time collaboration with colleagues and partners in real time; graphics processing carried over the datacenter not on the laptop or desktop and the ability to scale the visualization solution ‘on-demand’ to extend business services.
Edited by Braden Becker