A big motivator for deploying HPC workloads to the cloud is improving application throughput and performance with scalability. This is especially true in life sciences and CAE, where workloads tend to be cloud-friendly, and customers have an insatiable appetite for…
Virtualizing and sharing GPU devices In GPU Sharing with Univa Grid Engine Part I, we looked at the basics of GPU resource scheduling with Univa Grid Engine. In the second article in this series (GPU Sharing with Univa Grid Engine…
Join NVIDIA and Univa for an exclusive webinar on optimizing GPUs As users increasingly take advantage of GPUs, containers, and cloud-resources for high-performance applications, effective management of GPU workloads is more important than ever. We are excited to announce an…
In our previous article, we looked at the fundamentals of GPU resource scheduling in GPU Sharing with Univa Grid Engine Part I. GPUs power a wide variety of HPC and AI workloads. Given the high-cost of GPU-capable servers and cloud…
Increasingly, GPUs power a wide variety of HPC and AI workloads from structural analysis to molecular modeling. In April of 2020, Univa’s State of the GPU in HPC survey found that 83% of survey respondents reported running GPUs with fully…
Last month, I had the opportunity to partner with a colleague from Google and co-present at this year’s Design Automation Conference (DAC). We conducted a tutorial session and shared best practices based on our experience helping EDA users shift workloads…
Last week, we were joined by speakers from Intel and Amazon Web Services to present the live webinar, Migrating HPC Workloads to the Cloud, and attracted more than 100 attendees. We discussed best practices and key capabilities required to make…
Top findings from our April 2020 online survey With the COVID-19 emergency, this Spring’s NVIDIA GPU Technology Conference (GTC) took on a different flavor than prior years. We had planned to run a survey at the GTC event to capture…
Univa Grid Engine and the changing face of HPC Analytics and AI have emerged as a competitive weapon across every industry. Gartner’s 2019 CIO survey found that 37% of organizations had implemented AI in the data center as of 2019…
Discover what’s new in Univa Unisight and learn how you can use the platform to track and measure resource utilization across Univa Grid Engine clusters. For Grid Engine administrators, knowledge is power. With better visibility to workloads and resources, organizations…
