CEO and co-founder of Liqid Inc. Tech industry veteran with more than 20 years of experience.
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In quarterly earnings reports this year, the CEO and founder of NVIDIA (a Liqid partner) noted that its recent advancements in delivering its new compute platform designed with AI in mind and its acquisition of a leading networking company this year are all designed to achieve the central goal of advancing what is increasingly known as data center-scale computing.
For providers of high-performance computing solutions, both those built around NVIDIA’s tech and those that are competing with the GPU goliath, this need for data center-scale computing has been defined by and escalated alongside the data performance requirements of artificial intelligence and machine learning (AI+ML), something I discuss further in a recent article.
Hyperconverged HPC Matures, AI+ML Augments HPC Until It Doesn’t
The traditional hyperconverged high-performance computing…
