Sylabs, the commercial enterprise in the back of the open supply Singularity container engine, announced its first commercial product these days, Singularity seasoned.
Sylabs changed into launched in 2015 to create a container platform specially designed for scientific and excessive efficiency computing use situations, two areas that founder and CEO Gregory Kurtzer, says were left in the back of within the containerization circulate over the final a number of years. (For an evidence of containers, see this text.)
Docker emerged because the container of engine of alternative for builders, however Kurtzer says the container solutions developed early on focused on microservices. He says there’s nothing inherently wrong with that, however unnoticed some kinds of computing that relied on processing jobs in its place of functions, above all excessive efficiency computing.
Kurtzer, who didn’t precisely simply fall off the open supply turnip truck, had greater than twenty years of adventure as a high performance computing architect working on the US department of power Lab, where he situated CentOS, an open source commercial enterprise Linux challenge and Warewulf, which he says has become the most utilized stateless HPC cluster provisioner.
He determined to shift his consideration to containers when based Sylabs and launched the primary open source version of Singularity in April, 2016. Even then, he had a vision of making a industrial version of the product. He saw Singularity as a Docker for HPC environments, and would run his enterprise in the same style to Docker, leading with the open source challenge, then constructing a industrial company on correct of it — simply as Docker had accomplished.
Kurtzer now desires to carry Singularity to the commercial enterprise with a focus no longer simply on the HPC business market, but different excessive performance computing workloads such as synthetic intelligence, desktop studying, deep learning and superior analytics.
“These applications lift data-intensive workloads that demand HPC-like elements, and as greater businesses leverage records to guide their corporations, the need to safely containerize and guide these workflows has grown substantially,” Kurtzer wrote in a blog post saying the enterprise product.
besides the fact that Singularity is designed to handle distinctive forms of workloads, it nevertheless works with container orchestration equipment, particularly Kubernetes and Mesos, and it is additionally compatible with Microsoft’s Azure Batch device and other cloud tools.
Kurtzer indicated Sylabs at the moment has 12 employees, and is working on an undisclosed quantity of seed funds. It became funded by way of RStor, a startup itself presently working in stealth mode.
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