XCube offers a life cycle management system for massively parallel computing that supports tests being carried out at multiple locations to be easily integrated and made available for computing at a fraction of the normal costs associated with such compute.
Its DSSC captures Petabytes of streaming data at different locations, speedily and inexpensively relative to Hadoop, Spark and other Big Data tools that may not be adequate in computing to scale on demand.
XCube transforms problem of distributed data into the advantage of parallel processing, automates training and testing of neural networks,allows granular testing of situations such as rain, snow or four-way intersections by working where the data is.
XCube allows any desktop application such as an automotive simulator with no need to rewrite it to run in parallel, picks the data to run it on and manages the parallel execution by sending the application to where the data resides, runs in parallel in virtual machines, reformats the data to what the application needs and collects the results.
XCube is vendor independent for Framework and Hardware support and can be used in small systems to global scale and caters to a world full of autonomous machines and sensor networks used in drones, city surveillance, smart cities and IoT.