The latest operating systems like Windows 10 or Server 2016 include graphically rich features in its user interface. In addition to this, contemporary applications built to run on top of these modern operating systems further contribute to GPU consumption. Therefore it is important to have a GPU for your traditional VDI or any cloud enabled desktop deployment to satisfy the number one user demand, which is the best in class user experience. But,
- How can we measure user experience?
- How can we find out the perfect protocol?
- What is that perfect combination of remote protocol policies?
- What is the perfect codec that best fits to your use case?
Learn why EVERY remote user should have GPU resources available to them. We''ll discuss the advantages end-users experience once their virtual desktopsundefinedsessions have GPU capabilities. Recent data from the NVIDIA GRID Performance Engineering team shows a significant impact GPUs like the Tesla M10 has on knowledge workers. The data includes real user testing and scientific data like end user latency, remoted frames, bandwidth, and CPU utilization, which all play a significant role in the overall user experience.
With the new performance challenges Windows 10 brings coupled with professional design and engineering workflows that are evolving and becoming more complex, traditional performance metrics can no longer capture true user experience. In the session, you will discover new ways of executing and automating performance tests to help your customers better size their vGPU environments.