In this episode, we discuss the role of super computing, how supercomputers are different and which type of organizations leverage them with special guest, Jordan Nanos, Machine Learning Architect, HPE.
What has the role of supercomputers been historically?
Has the advent of GPU clusters changed the role of HPC?
How is the technology changing to meet new needs of researchers and organizations?
As we look at supercomputing across different verticals, what parts of the technology and software stack stay similar and where does that stack depart from being similar?
How do we continue to innovate the technology and software but also address the sprawl of new technology offerings?
What is the role of a manufacturer in supporting open-source tools vs building tools optimized for your own hardware?
How are we managing the cooling challenges more effectively today?
As we move forward, what is the role of supercomputing?
Will we see general access to supercomputing via generative AI like we are seeing with foundation models?
What are some of your favourite supercomputer use cases that you have been involved with?
What excites you about the future of supercomputing and AI?
We can modify as needed but this gives us a starting point.