Sylabs launches Singularity Pro, a container platform for high performance computing
Summary
Sylabs was launched in 2015 to create a container platform specifically designed for scientific and high performance computing use cases, two areas that founder and CEO Gregory Kurtzer, says were left behind in the containerization movement over the last several years.Kurtzer, who didn’t exactly just fall off the open source turnip truck, had more than 20 years of experience as a high performance computing architect working at the US Department of Energy Lab, where he founded CentOS , an open source enterprise Linux project and Warewulf , which he says has become the most utilized stateless HPC cluster provisioner.He decided to shift his attention to containers when founded Sylabs and launched the first open source version of Singularity in April, 2016.Kurtzer now wants to bring Singularity to the enterprise with a focus not just on the HPC commercial market, but other high performance computing workloads such as artificial intelligence, machine learning, deep learning and advanced analytics.“These applications carry data-intensive workloads that demand HPC-like resources, and as more companies leverage data to support their businesses, the need to properly containerize and support those workflows has grown substantially,” Kurtzer wrote in a blog post announcing the enterprise product.