Nimbix now allows developers and ISVs to push workflows to its platform via a new solution called PushToCompute.
The container-based solution enables users of the JARVICE platform and Nimbix Cloud to employ very high end computing for such applications as machine learning in an environment that is serverless and thus more secure and affordable, as well as scalable, explained CTO Leo Reiter. In the process, they enjoy automated heterogeneous data management, faster execution, rapid workflow deployment across multiple compute nodes, seamless access to advanced computational accelerators such as GPUs and FPGAs, and sub-second launch times.
People with Docker applications typically push those applications to the Docker registry, said Reiter. That involves setting up instances of machines, and having to manage it all. Instead of Nimbix Cloud running in Docker, the application runs in a JARVICE container that is much faster, with faster launch times and storage. Also, with PushToCompute, users are not logging into a virtual machine but rather are accessing resources through an API via a web portal, meaning there’s less opportunity for security problems.
“PushToCompute…seamlessly enables serverless computing of even the most complex workflows, greatly simplifying application deployment at scale, and eliminating the need for any platform orchestration or user interface work,” said Reiter. “Developers simply focus on their specific functionality, rather than on building cloud capabilities into their applications.”
Founded in 2012, Nimbix is based in Dallas, where most of its data center assets exist. It serves a wide array of organizations; from startups to Fortune 500 companies in aerospace, oil and other industries, to U.S. government agencies.
In addition to JARVICE, Nimbix Cloud, and PushToCompute, Nimbix also offers JARVICE emulators that developers can use to build and test their applications on local hardware. And the company has a software-as-a-service marketplace where users get paid on a per usage basis when their workflows are consumed.
Edited by Alicia Young