Sylabs was launched in 2015 to emanate a enclosure height privately designed for systematic and high opening computing use cases, dual areas that owner and CEO Gregory Kurtzer, says were left behind in a containerization transformation over a final several years. (For an reason of containers, see this article.)
Docker emerged as a enclosure of engine of choice for developers, yet Kurtzer says a enclosure solutions grown early on focused on microservices. He says there’s zero inherently wrong with that, yet it left out some forms of computing that relied on estimate jobs instead of services, privately high opening computing.
Kurtzer, who didn’t accurately only tumble off a open source turnip truck, had some-more than 20 years of knowledge as a high opening computing designer operative during a US Department of Energy Lab, where he founded CentOS, an open source craving Linux plan and Warewulf, that he says has turn a many employed stateless HPC cluster provisioner.
He motionless to change his courtesy to containers when founded Sylabs and launched a first open source chronicle of Singularity in April, 2016. Even then, he had a prophesy of formulating a blurb chronicle of a product. He saw Singularity as a Docker for HPC environments, and would run his association in a identical conform to Docker, heading with a open source project, afterwards building a blurb business on tip of it — only as Docker had done.
Kurtzer now wants to move Singularity to a craving with a concentration not only on a HPC blurb market, yet other high opening computing workloads such as synthetic intelligence, appurtenance learning, low training and modernized analytics.
“These applications lift data-intensive workloads that direct HPC-like resources, and as some-more companies precedence information to support their businesses, a need to scrupulously containerize and support those workflows has grown substantially,” Kurtzer wrote in a blog post announcing a craving product.
Even yet Singularity is designed to hoop opposite kinds of workloads, it still works with enclosure adaptation tools, privately Kubernetes and Mesos, and it is also concordant with Microsoft’s Azure Batch apparatus and other cloud tools.
Kurtzer indicated Sylabs now has 12 employees, and is handling on an undisclosed volume of seed money. It was saved by RStor, a startup itself now handling in secrecy mode.
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