Introduction While virtualization technologies have proven themselves in the enterprise with cost effective, scalable and reliable IT computing, High Performance Computing (HPC) however has not evolved and is still bound to dedicating physical resources to obtain explicit runtimes and maximum performance. VMWare has developed technologies to effectively share accelerators for compute and networking. VMWare, Read more...
Are you being asked to provide GPUs to your application developers and data scientists for machine learning or high performance computing? Are users asking for more than one GPU to be usable for their application? Are you interested in cost-effective ways to share GPUs across the entire data science team? If any of these types Read more...
In part 1, we have looked at two options for sharing GPUs, NVIDIA vGPU and Bitfusion. In addition, we have discussed Bitfusion architecture and its primary use-cases. In this part 2, we will look at our performance testing methodology and Bitfusion results with three different networking options for remote GPU usage. Testing Methodology In this Read more...
In this two-part series, we will look at leveraging Bitfusion for machine learning workloads in VMware virtual environments equipped with NVIDIA GPUs. In the first part, we will discuss the options for sharing NVIDIA GPUs. In the second part, we will look at testing details and the performance results of Bitfusion on vSphere with different Read more...
Graphics Processing Units (GPUs) represent a key accelerator technology on vSphere for those who are working in the fields of machine learning (ML) and high performance computing (HPC). Traditionally, GPUs have been used by those who want to do high-end graphics, such as product design/CAD in VDI workloads on vSphere. We place our focus here Read more...
