By Jason Stowe, CEO, Cycle Computing
Innovate or die. How many times have we heard this mantra in our careers? The difference is that today’s modeling and simulation tools will move CIOs to the forefront of discovery and innovation. “Cycle Computing software dynamically provisions dozens to hundreds of thousands of cores to create a cloud cluster computer for those simulation, modeling, and analysis jobs today” While “faster time to market” has long been a corporate mantra, a confluence of several critical technologies, are driving a new reality. Cloud-driven analytics and simulations are driving significant cost and time out of product development cycles. Manufacturers are designing hard drives in half the time of two years ago and drug companies are accelerating discovery processes fivefold. And while the CEO’s vision of bringing better products to market faster may make the R&D department tremble - insightful CIO’s are seizing the opportunity to demonstrate that IT can have a direct and quantifiable impact on line of business success as the engine of innovation for the next century will be analytical and simulation. It will start with the troves of data from customers, instruments and databases that will be collected, organized, stored and analyzed for insights for better understanding of how results were generated. But the real business value will be created when those insights are transformed in foresight through analytical models. Some of the most powerful tools researchers and engineers use to speed their development efforts are tied directly to analysis and simulation - or in today’s hype vernacular, Big Data and Big Compute. While the tools to perform both have been available for years, cloud has opened new pathways to virtually limitless compute and storage resources, in highly cost-effective models. Until recently, simulation and analysis at this larger scale, was only available to those large organizations with enough resources to purchase a supercomputer. Over the past decade, access has increased with the adoption of cluster computers. But the greater availability of clusters to researchers only led to greater headaches for those tasked with administering, housing, powering and cooling them. The missing key to greater adoption has been large scale access to more computing, which the cloud enables. In the case of big compute, innovative companies are in fact leveraging the cloud to do more simulation and analysis, which is leading to better answers, faster. And those better answers lead to better decisions, and better products, all faster. The early adopters of big compute have already proven this model. So, if your business hasn’t implemented a big compute strategy yet, while it’s not quite panic time, it is time to get moving. Real examples. Real impact. Cycle Computing software dynamically provisions dozens to hundreds of thousands of cores to create a cloud cluster computer for those simulation, modeling, and analysis jobs today.