
Before AI clusters made data movement fashionable, Kianoosh Naghshineh spent decades moving networking work off the CPU. His patient bet on open Ethernet now runs straight into the industry's most urgent bottleneck.
Rochan Sankar is the founder and CEO of Enfabrica, a Silicon Valley startup building networking silicon to move data between the GPUs, CPUs and memory that power large-scale AI. A 26-year semiconductor veteran who ran Broadcom's data center Ethernet switching business before striking out on his own in 2019, he bet the company on a single idea: that AI's real bottleneck is not compute but the plumbing that feeds it. In September 2025, Nvidia paid more than $900 million to license Enfabrica's technology and bring Sankar and much of his team in-house.

Gilad Shainer is Senior Vice President of Networking at NVIDIA, where he leads the strategy, marketing, and ecosystem development for the company's networking portfolio — including InfiniBand, Ethernet, DPUs, and interconnect technologies that power more than half the world's top 500 supercomputers. A Technion-trained electrical engineer who graduated Cum Laude at both B.Sc. and M.Sc. levels, Shainer spent nearly two decades at Mellanox Technologies before joining NVIDIA via the $6.9 billion acquisition in 2020. He founded the HPC-AI Advisory Council in 2008, which now spans 400+ organizations globally, co-founded the ISC Student Cluster Competition, holds two R&D 100 Awards (2015 and 2019), and has authored or co-authored dozens of papers across IEEE, ACM, and Springer venues. At a moment when AI factories are rewriting the rules of data center design, Shainer is the person making sure the wires — and the protocols running through them — are ready.

Gani Jusuf is the CEO and Co-Founder of AXONNE, a Silicon Valley fabless semiconductor startup reshaping how data moves inside vehicles. A UC Berkeley PhD with 25+ years in semiconductor engineering - including nearly 15 years as VP of Engineering at Marvell Technology - Jusuf co-founded AXONNE in 2018 to solve one of automotive's trickiest problems: getting massive streams of sensor data from cameras, radar, and LiDAR to compute units at multi-gigabit speeds over a single twisted-pair cable. Backed by Intel Capital, AXONNE's Cyton PHY and automotive Ethernet bridge products are used in next-generation ADAS and software-defined vehicle architectures.
Mansour Karam is the founder and CEO of Aria Networks, the AI-native networking company that raised $125M to rethink how GPU clusters talk to each other. A Stanford-trained electrical engineer with a Lebanese-American background, he helped build Arista Networks from a handful of employees to a $4B IPO, then founded Apstra - the company that coined 'intent-based networking' - and sold it to Juniper in 2021. A piano player who names companies after musical terms, Karam has spent 25 years at the bleeding edge of how data moves, and now bets that the network - not the GPU - is the real bottleneck in the AI era.