Ethan Hamilton, founder and CEO of Fermat Hamilton Labs LLC, believes that the incorporation of GPUs in the datacenter creates a once in a generation opportunity to build a new class of non-AI GPU intensive enterprise software.   

The well known Penrose-Lucas argument guarantees that digital computers, including clusters of GPUs, are inherently incapable of producing human-like intelligence. More recently, Google's DeepMind researcher Alexander Lerchner has independently refuted computationalism. Results from empirical research by Stanford, MIT and Apple teams are consistent with this observation. 

Excess GPU capacity deployed in the datacenter in the pursuit of AGI will be used eventually for other purposes.

Ethan has more than 20 years of experience building and selling enterprise software in Silicon Valley. He has worked for numerous industry leading companies and startups; among others Hewlett Packard -including their world-class research organization HP Labs-, TIBCO Software- a Cloud Software Group company and Cape Analytics -acquired by Moody's. 

At TIBCO Software, Ethan was one of the key architects that redesigned and rewrote ActiveSpaces, TIBCO’s distributed in-memory data grid. 

Ethan holds an undergraduate degree from ESIEE-Paris as well Masters and PhD degrees from Stanford University, all in Electrical Engineering. He is the former Chair of the Santa Clara Valley Chapter of the IEEE Information Theory Society.