Matthew Shaxted is the founder and CEO of Parallel Works, a Chicago company that turns the headache of running heavy AI, machine learning, and simulation workloads across clouds and on-premises systems into a single control plane. A civil engineer who once wired 30 Linux desktops into a render farm to push building simulations, he met co-founder Michael Wilde at Argonne National Laboratory and spun the lab's parallel-workflow technology into a company in 2015. Bootstrapped and cash-flow positive, Parallel Works now powers hurricane risk models, cancer research, space-weather digital twins, and IL5-authorized defense workloads.
Christina Olmsted is Vice President of AI and Data Center Marketing at NVIDIA, where she leads global marketing and PR teams at the epicenter of the AI revolution. With nearly a decade at NVIDIA and 15 years prior at Cisco, she built and championed campaigns that repositioned entire computing paradigms - from Cisco's Internet of Everything brand movement to NVIDIA's AI and accelerated computing narrative. A UC Berkeley dual-degree alumna with a flair for connecting technology to human impact, she operates at the intersection of deep technical product marketing and culture-shaping storytelling.
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.
Ceremorphic is a San Jose-based fabless semiconductor startup building energy-efficient AI supercomputing silicon. Founded in 2020 by serial entrepreneur Venkat Mattela, the company taped out a first-of-its-kind 5nm HPC/AI chip on TSMC's most advanced node and is applying the same Hierarchical Learning Processor architecture to data center AI, robotics, automotive, and analog-AI-driven drug discovery.
Joris Poort is the co-founder and CEO of Rescale, the cloud high-performance computing platform that became the world's first unicorn in cloud HPC. Born in Nijmegen, Netherlands, and educated at the University of Michigan, University of Washington, and Harvard Business School, Poort spent years at Boeing engineering the 787 Dreamliner before co-founding Rescale in 2011 through Y Combinator. Under his leadership Rescale has raised over $284 million—including a $115M Series D in April 2025—and now serves the world's leading aerospace, automotive, energy, and life sciences enterprises with 1,250+ simulation applications across 500+ global cloud datacenters.
Liran Zvibel is the Co-Founder and CEO of WEKA, a Campbell, California-based AI-native data platform company valued at $1.6 billion. He co-founded WEKA in 2013 after earlier stints at XIV Storage Systems (acquired by IBM) and Fusic, bringing deep expertise in high-performance distributed storage. Under his leadership, WEKA has raised $465M+ in funding, surpassed $100M in annual recurring revenue, and built a platform powering 300+ of the world's largest AI and GPU deployments including 11 of the Fortune 50. A former Israeli military Captain who earned the Israeli Defence Award, Zvibel holds a BS in Mathematics and Computer Science from Tel Aviv University.
Rescale is a San Francisco-based digital engineering platform that turns high-performance computing into an on-demand cloud utility. Founded in 2011 by ex-Boeing engineer Joris Poort and Adam McKenzie, it gives scientists and engineers at companies like Samsung, Arm, General Motors Motorsports, and the U.S. Department of Defense a single workbench for simulation, AI physics, and multi-cloud orchestration.
WEKA builds a software-defined data platform engineered for AI and HPC workloads, feeding GPUs and CPUs with low-latency, high-throughput storage across on-prem, cloud, edge and hybrid environments. Its NeuralMesh architecture underpins hundreds of the world's largest AI deployments, including model builders, hyperscale neoclouds, and Fortune 50 enterprises.
Dr. Venkat Mattela is the Founder and CEO of Ceremorphic, Inc., a San Jose-based deep-tech company designing ultra-low-power AI supercomputing chips built on TSMC's 5nm process. A serial entrepreneur with a PhD in Electrical Engineering, he previously founded Redpine Signals and sold its wireless connectivity division to Silicon Labs for $308 million in 2020. With over 100 patents and four decades in semiconductor engineering, Mattela is now betting Ceremorphic's proprietary ThreadArch architecture can reshape AI computing for data centers, drug discovery, and next-generation HPC workloads.
Avicena Tech builds LightBundle, a microLED-based optical interconnect that moves data between chips at terabit-per-second densities while sipping sub-picojoules of energy per bit. The Sunnyvale company is betting that the GPU clusters powering AI need a new physical layer - one that copper can't deliver and traditional silicon photonics can't match on power.
Leander Yu is the founder and CEO of Graid Technology Inc., a Sunnyvale-based startup that invented the world's first GPU-accelerated RAID solution for NVMe SSDs - SupremeRAID. With over 25 years in the storage industry and a prior successful exit (Bigtera to Silicon Motion in 2017), Yu built Graid in 2019 to solve a fundamental bottleneck: traditional RAID controllers can't keep up with modern NVMe speeds. By offloading RAID computation to a GPU, SupremeRAID delivers up to 28 million IOPS and 260GB/s throughput from a single card. The company raised a $30M Series B in March 2025 led by Foxconn and CTBC joint venture, and signed a landmark licensing deal with Intel for VROC technology in late 2025.
Bardia Pezeshki is a serial entrepreneur and photonics pioneer who has spent three decades turning light into bandwidth. As co-founder of Avicena Tech, he is leading the push to replace copper chip-to-chip interconnects with microLED-based optical links - a bet that energy efficiency, not raw speed, is the bottleneck holding back AI infrastructure. With a Stanford PhD in electrical engineering, a prior company (Santur) that moved most of the world's long-distance internet traffic, and a $65M Series B closed in May 2025, Pezeshki is now in the race to wire the AI data center of the future with light.