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Accelerating Virtualized Cassandra databases with FPGA

Mohan Potheri posted 3 days ago

Introduction Field Programmable Gate Arrays (FPGAs) as accelerators for data center workloads are beginning to cross the chasm of broader adoption. FPGAs have been around for more than twenty-five years and have successfully accelerated IO-centric applications such as network routers and storage controllers. FPGAs are reconfigurable hardware that offer software-like flexibility while delivering hardware-like performance Read more...

GPUs for Machine Learning on VMware vSphere: Decision-maker’s Guide

Justin Murray posted 3 days ago

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...

Machine Learning Leveraging NVIDIA GPUs with Bitfusion on VMware vSphere (Part 2 of 2)

nazhang5 posted 4 days ago

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...

Machine Learning Leveraging NVIDIA GPUs with Bitfusion on VMware vSphere (Part 1 of 2)

nazhang5 posted 4 days ago

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...

GPUs for Machine Learning on VMware vSphere – Learning Guide

Justin Murray posted August 14, 2019

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...