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HPC Solutions Forum QuestionsIn what ways does the concept of “high-performance data management” need to evolve to encompass new workloads and architectures?
In what ways does the concept of “high-performance data management” need to evolve to encompass new workloads and architectures?
How is the mix of on-premises versus cloud computing changing for HPC-AI, and what tools do organizations need for managing their cloud deployments?
What key factors will help the HPC community attract and retain talent, especially new talent?
What kinds of organizations should be investing in quantum computing today, and what practical steps should they be taking?
New architectures, new workloads, new languages, new levels of precision ... How does all this affect HPC middleware and programming environments?
The next innovation: What will be the big news at ISC 2035? Be as specific as you can.
What should the HPC-AI industry be doing with regard to power optimization and sustainability?
Will Ethernet solutions (including Ultra Ethernet Consortium) be significant for HPC-AI supercomputers? Why or why not?
What types of applications are not well served by “standard” processing architectures, and what is the solution?
For organizations pursuing both traditional HPC and new AI workloads, to what extent should they have shared infrastructure / budget / personnel versus separate?

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