Is HPC better in the cloud?

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Let’s face it: Big Data is the most decisive issue for companies. It remains the fuel for new technologies and solutions that are part of our daily lives. And these can only work well if the thousands of data are well processed, and very quickly

 

By Bechtle blog

This is why all companies, regardless of their size or sector of activity, must increase the computing power of their computers. Traditionally, a «traditional» computer with a simple processor can handle 3 billion calculations per second. This is enormous… But not enough. Constantly evolving needs require the use of a new technology: supercomputers capable of performing high-performance calculations (HPC)

What are the advantages of HPC in the Cloud?
• Supports the heaviest workloads.
• Allows new capacity to be allocated as needed
• Allows remote connection with a standard internet connection, via GPU enabled virtual machines.

How does HPC in the Cloud work?
One of the main differences between a local HPC system and a Cloud HPC system is the ability to dynamically add and remove resources as needed.
This dynamic adjustment removes computational capacity as a bottleneck and, instead, allows users to find the right size for their infrastructure to meet their job requirements.
HPC can give a real boost to your business and to your Big Data management. However, its use requires an infrastructure that can be cumbersome on a daily basis.
HPC in the Cloud makes it possible to overcome these problems by offering immediate access to all these resources with minimal configuration and without thinking about the necessary infrastructure.
In short, it is the most flexible and simplest way to approach and use HPC when starting out in this field. Bechtle remains YOUR qualified partner for these topics, whether they are based on a cloud solution or not!

Above, Bechtle CEO dr. Thomas Olemotz / Image credited to Bechtle

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