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…
Inside Univa’s solution for cloud automation, migration, and spend management This month, Univa is rolling out Navops Launch 2.1, the most recent version of our powerful cloud automation and migration platform. This release marks an important milestone in the evolution…
Today, we are pleased to announce the general availability of Navops Launch 2.1, with support for Slurm-based clusters. Navops Launch is an automation and spend management platform for migrating compute-intensive HPC workloads to the cloud. With this release, Navops Launch…
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…
On March 17th, Univa released its latest version of Univa Grid Engine, with several significant new features and enhancements. HPC environments are evolving quickly, and we continue to deliver new releases and functionality at a rapid pace. Univa Grid Engine…
Building a future-proof HPC and AI cluster environment with Univa Grid Engine In a previous article, Getting the most out of NVIDIA DGX Systems with Univa Grid Engine, we talked about the importance of GPUs for HPC and Deep Learning…
Among Grid Engine users, there is a high interest in cloud computing. In a recent InsideHPC survey sponsored by Univa, 92% of users said that they were “open to or already using cloud,” and 64% described cloud as “having proven…
