Performance intensive computing (PIC) is defined by three workloads: high-performance computing (HPC), artificial intelligence (AI) and big data analytics (BDA). Until recently, AI has been in the spotlight more than the other PIC workloads, but IDC is seeing HPC, — which until now has been a staple computing paradigm for national labs, academia, institutions, and select industries — gaining in momentum and entering mainstream adoption. This paper looks at how organizations are thinking about HPC — the many choices, the opportunities, and the challenges. The paper also examines just released AMD processor and coprocessor solutions for HPC that address the many requirements that HPC imposes.