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…
Used by thousands of organizations around the world, Grid Engine is one of the world’s most popular and capable grid management systems with a vibrant, growing user community. When application providers describe their support for Grid Engine, they often lump…
While there are many benefits to leveraging the cloud for HPC, there are challenges as well. Along with security and cost, data handling is consistently identified as a top barrier. Data requirements vary by application, datasets are often large, and…
Why planning for flexibility is the key to success Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. This is validated by our 2018 Univa customer survey where 61% of respondents indicated that they…
GPUs play an important role in HPC accelerating applications from molecular dynamics to deep learning. In previous articles, we’ve discussed how Univa Grid Engine supports efficient scheduling of GPU resources. We’ve also covered Univa Grid Engine support for Docker and…
