With Greater GPU Visibility Comes Greater User Experience

The infrastructure, software platforms and best practices to support virtual workloads have come a long way in just a handful of years. Details and an understanding of important metrics—memory, disk and compute—have become more commonplace as it relates both to sizing as well as what is required inside each virtual guests. From where I sit many of the barriers that presented challenges to reaping the full benefit of virtual workload delivery have been broken down. That is, except one… There is still one frontier that remains somewhat uncharted.

And that’s why I’m so very pleased to share that we’ve been working behind the scenes with NVIDA; an industry leader that has been setting the standard with its enterprise-grade graphics solutions. With the ability to offload high resource-intensive workloads with its GRID graphics processing unit (GPU), NVIDIA has built the ship to take us on the next part of our journey. And when coupled with Stratusphere UX, we are going to help chart the course.

Unlike memory, disk and CPU, the world of GPU is still somewhat uncharted. We understand what happens when a page fault occurs and memory swaps to disk. Likewise, metrics such as CPU queue length and disk IOPs are well understood as they relate to defining the appropriate balance between resources, performance and meeting user expectations. But GPU, and how those metrics will be forged to better understand graphics performance? That is the next frontier.

Read the entire article here, With Greater GPU Visibility Comes Greater User Experience

via the fine folks at Liquidware Labs