The company, which was founded by the creators of the Julia high-performance programming language, says the funding will be used to further develop and advance its secure, high-performance JuliaHub cloud platform and to grow the Julia ecosystem. JuliaHub makes it easy to develop, deploy, and scale Julia programs and models that data scientists and engineers are adopting at an increasingly rapid pace.
In addition to being a cloud computing product in its own right, says the company, JuliaHub is a platform for other revolutionary applications, such as JuliaSim for multi-physics simulation, JuliaSPICE for circuit simulation, and Pumas for pharmaceutical simulation product from Julia Computing's partner company, Pumas-AI.
"The wonders of today's world are created using digital models," says Bob Muglia, member of the Julia Computing Board of Directors. "The circuits within our smartphones, advanced materials, pharmaceuticals, and aeronautics are all examples of advanced technologies built using digital modeling. Although these advancements have been amazing, the tools and systems that support these efforts are decades-old and cannot take full advantage of the cloud."
"The Julia Computing team has rocked this world by building JuliaHub, a modern platform for technical and scientific modeling," says Muglia. "JuliaHub is poised to advance scientific computing and enable solutions that will deliver new generations of products and services that we cannot even imagine today."
Originally developed at MIT, the Julia programming language has been downloaded more than 29 million times by users worldwide, including thousands of open source developers who have contributed to Julia and its 6,000 registered packages. Over 1,500 universities worldwide are using and teaching Julia, including leading institutions such as MIT, Stanford, and UC Berkeley.
The community has seen exponential growth since Julia was introduced to the public in 2012, says the company. Julia helps scientists and engineers tackle large-scale data science problems, and solves the "two-language problem" by eliminating the two-step process of testing, modeling, and prototyping in a high-level language (such