data-storage
(3)
Gal Naor
Gal Naor is the co-founder and CEO of StorONE, a New York based enterprise storage company built on the idea that software, not more hardware, is the real bottleneck in data storage. He first made his mark in 2004 as co-founder of Storwize, which pioneered real-time enterprise storage compression and was acquired by IBM in 2010 for $140 million. Naor spent roughly six years and dozens of patents building StorONE's unified S1 storage engine, which provisions block, file and object storage from the same commodity drives at a fraction of legacy cost. He is known for a contrarian, efficiency-first philosophy and for steering StorONE to cash-flow positivity with an eye toward an eventual IPO.
Thomas Isakovich
Thomas Isakovich is the founder and CEO of Nimbus Data, the flash-storage company behind the ExaDrive DC100 - the 100-terabyte solid state drive that, years after its 2018 debut, still has no equal in capacity. He built and sold his first storage system as a teenager, launched TrueSAN Networks from his Stanford dorm room, watched it collapse in the dot-com bust at age 26, then started over with Nimbus Data and self-funded more than 90% of its growth into a profitable global business spanning 200 customers in 12 countries. He is a rare bird in Silicon Valley: a hardware founder who turned down the venture-capital playbook, kept the company his own, and went back to finish his Stanford degree purely because he missed thinking.
George Kurian
George Kurian is the Chief Executive Officer of NetApp, the $20B+ enterprise data storage and cloud infrastructure company, where he has led a decade-long transformation from legacy storage vendor to AI-ready data platform. Born in Pampady, Kerala, he arrived at Princeton at 17 with a partial scholarship and a twin brother — Thomas Kurian, now CEO of Google Cloud — making them one of the rarest pairs in tech: identical twins who both run major Fortune 500 companies. Under his tenure since 2015, NetApp has posted record revenues of $6.57B in FY2025 and positioned itself as critical backbone for enterprise AI workloads.