Why Supercomputing
Transforming your data into value
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Today, almost all organisations have an increasing quantity of data – a gold mine of information, but as long as it is not used, it is not worth anything. Supercomputers are key tools to transform big data into actionable, meaningful information that organisations can use to speed up their work, better understand their market and offer products, services and solutions that are optimised to meet the needs and expectations of their target groups.
With the digitalisation of almost all aspects of our society, the amount of data available on the global level is growing exponentially. This data can be used to discover trends, find patterns and extract insights that can be very valuable for companies, research centres and public administrations. However, this can only be done through big data analytics.
Performing high performance data analytics
Data analytics can be done on an ordinary laptop, but when it is a matter of vast quantities of data, a supercomputer can run highly complex processes in a fraction of the time or perform analyses that are not feasible on lesser systems. This type of operations is called high-performance data analytics (HPDA). Using high-performance computing means seizing opportunities presented by the data available today and building competitive advantages for the future.
Knowing how to best apply the powerful resource of supercomputing for specific projects, company operations or research endeavours can be a major game-changer as it saves users a lot of time while achieving more efficient results at a lower cost.
The advantages of using supercomputing
Supercomputers open the doors to technologies such as artificial intelligence, machine learning, virtual prototyping and complex forecasting, to mention but a few examples. With the help of HPC, data is quickly interpreted, evaluated and visually projected to show patterns and guide engineers, researchers, and others to better products, models or processes.
The benefits are numerous, for example:
- More precise design of complex work pieces
- Reduced time-to-market
- Reduced materials cost
- Improvements in quality features
- Ability to solve problems that are insolvable by other means
- Increased resolution and accuracy of results