This presentation addresses the following topic(s):
- What are the important considerations in building data center facilities that can scale along with computing?
- When is cloud more efficient than on-premises computing, and vice versa? How should these hybrid environments be managed? (Alternately: Discuss the efficiencies and inefficiencies of operating all on-prem, all cloud, and hybrid.)
- Machine learning and HPC: Each worthy of its own investment, or better together? (Alternately: Marriage for the ages, or heading for divorce?)
As the pace of digitalization accelerates and businesses become increasingly ambitious in their use of data, large scale simulations ,machine learning and artificial intelligence, demand for processing power is increasing tremendously.
Traditionally, these high performance computing (HPC) demands would be met with HPC clusters installed on premise.
This power comes at a cost and is also very inflexible. Premium hardware is expensive and licensing increases costs even further, as do the overheads of installing, configuring and managing an HPC cluster. And that is just the tip of the iceberg, assuming you can source and retain employees with the correct skillset to service and update the system.
By combining the benefits of a dedicated on-premise environment and the flexibility of cloud, both running simultaneously, HPCaaS has the potential to allow for massive savings and drive innovation to its full potential.
In this session, Guy D’Hauwers, atNorh’s Sales Director for HPC & AI, addresses various industry pain points such as limited capacity, lack of available compute and internal expertise amongst others. Hear how HPCaaS not only addresses these issues, but also adds significant value to your operations and increases the return on investment of your valuable application software as well as your engineers’ productivity.
