After its initial release in 2016, Singularity was immediately accepted by the research community to meet scientists` demands for a new application packaging methodology through containers. Today, Singularity is deployed on many of the largest supercomputers in the world. Developed specifically for HPC, Singularity`s success is firmly rooted in the open source community. Singularity is considered the platform of choice by academia and commercial HPC centers. The features that make Singularity popular with HPC users also make it the ideal container technology for data-intensive workloads, or what is characterized as Enterprise Performance Computing (EPC). As today`s enterprises leverage more data ...
After its initial release in 2016, Singularity was immediately accepted by the research community to meet scientists` demands for a new application packaging methodology through containers. Today, Singularity is deployed on many of the largest supercomputers in the world. Developed specifically for HPC, Singularity`s success is firmly rooted in the open source community. Singularity is considered the platform of choice by academia and commercial HPC centers. The features that make Singularity popular with HPC users also make it the ideal container technology for data-intensive workloads, or what is characterized as Enterprise Performance Computing (EPC). As today`s enterprises leverage more data to support and grow their businesses, the need to properly containerize and support workflows related to artificial intelligence, machine/deep learning, and advanced analytics has grown substantially. Sylabs was founded to solve this challenge by enhancing the free Community version to create SingularityPRO, a commercially supported enterprise version of Singularity.
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Number of Employees:
25-100
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Annual Revenue:
$1-10 Million