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Artificial Intelligence Powered by High Performance Computing

Leveraging High-Performance Computing for the Enterprise

Big data, artificial intelligence and predictive analytics driven by High-Performance Computing (HPC) , will soon be essential tools in your arsenal.

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High-Performance Computing (HPC) refers to aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation, in order to solve large problems in science, engineering or business. HPC workloads such as simulation and analytics are especially demanding on computation, memory usage and data management.

Sometimes referred to as a Cluster or Supercomputer, a typical HPC system is designed for parallel execution of applications through scaling out of many servers connected via high-speed, low-latency networking. The HPC system may also include associated software, tools, components, storage, and services.

HPC Becomes Indispensable
The impact of High-Performance Computing (HPC) cuts across industries to offer commercial benefits like Business Intelligence using Analytics. Similarly, HPC enables a wide spectrum of industries to use Artificial Intelligence (AI) to raise productivity and become more competitive.

In fact, HPC has entered your daily life. For confirmation, you need only see the weather prediction for next week (Climate Modelling), or notice the customised purchase recommendations when shopping online (Customised Marketing).

Why High-Performance Computing Is Essential for Business
The twin revolutions of information and communication have resulted in data being produced and transmitted more easily than ever. The next step would be to take the available data, and use it to solve some of humanity's greatest challenges. Having seen its benefits and how vital HPC is for growth, companies have invested in it to make sure they aren’t left behind. Even in a slowing economy, HPC is growing at an average of 4.3% a year as per market research.

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Key Trends Driving Upgrades:

Technology trends have combined to make upgrades worth the capex, as compared to using existing hardware.

Parallel Processing: Coprocessor solutions like NVIDIA’s Tesla GPU and Intel’s Xeon Phi can now run hundreds and thousands of threads on each HPC node. This dramatically increases available compute power.

Power Consumption: Processor cores consume half the power they did 5 years ago, enabling higher density of computing power in data centers, and lowering cooling costs.

Memory: Plentiful onboard RAM can now be measured in Terabytes, enabling even faster enterprise applications and databases that run directly in-memory.

Business Impact
Find out how companies are using High-Performance Computing (HPC to shorten product development cycles, get real-time analytics and improve customer experience.

  • Biotech firm Biogemma’s HPC cluster cut run-times from hours to minutes for analysis of large complex genomic data sets. That’s up to a 99% improvement, eliminating queues for computational resources.
  • Research center CERFACS innovates better with their computing cluster, which enabled up to 30% performance gains and 50% energy savings.
  • Researchers at Leibniz Supercomputing Centre (LRZ) can now run larger molecular simulations than ever before (up to 1 quadrillion cells, increasing resolution by a factor of 100), even as LRZ saves 35% in operating costs compared to air-cooled systems.
  • Goodyear reduced key product design time for tyres, from 3 years to less than 1 year with its HPC clusters.

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