Smart energy grids are deployed to reduce energy consumption and offer more flexibility and reliability than traditional grids. These grids help in supplying energy to millions of households by integrating multiple energy sources. In order to supply, optimize, and maintain energy efficiency for multiple cities and neighborhoods, a huge volume of data is captured from millions of devices, including individual meters and consumption devices. These devices can generate exabytes of data, for which enormous computing power is needed for processing. Traditional servers cannot fulfill this need. However, with HPC, a huge volume of data can be processed and analyzed with efficiency in real-time.

Manufacturing Excellence
Large manufacturing enterprises have already begun to make use of the power of HPC, which is used for IoT and Big Data analysis. Based on the analysis results, real-time adjustments are possible in processes and tools to ensure an improved design of a product, increased competitiveness, and faster lead times.

High Performance Computing is capable of running large simulations, rapid prototyping, redesigns, and demonstrations. An example could be a manufacturing unit that would improve its manufacturing flow with insights from the processing of 25,000 data points from customer intelligence. The first-ever autonomous shipping project of the world is making use of HPC computing, which involves processing a large amount of data collected from sensors. The data includes details of weather conditions, wave points, tidal data, and conditions of various systems installed.

High Performance Computing offers significant benefits over traditional computing for manufacturing enterprises. It can help an automobile unit vehicle maintenance. A wholesaler could optimize the supply chain as well as stock levels. HPC is also used in R&D. The innovative design of the 787 Dreamliner Aircraft by Boeing is a result of HPC-based modeling and simulation that helped the company conduct live tests on the aircraft to test the prototype.

Data is growing at an exponential rate in the modern borderless world. Over 2.5 Quintilian bytes of data is generated every day across the globe. India alone is set to produce 2.3 million petabytes of digital data by the year 2020, and it is growing at a rate that’s much faster than the world average. Many enterprises are also exploring online data backup in the cloud further fueling this data explosion.

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