interconnects

(3)
Company
Syenta
Hardware · Ai · Climate

Syenta

Syenta is an Australian deep-tech semiconductor company building next-generation chip-to-chip interconnects for the AI era. Spun out of the Australian National University, it has developed a proprietary process called Localized Electrochemical Manufacturing (LEM) that deposits and patterns metal in a single step, producing micron-scale interconnects across large packages with fewer process steps. The technology targets the 'memory wall' that limits AI and high-performance computing, aiming to raise interconnect density and bandwidth while cutting manufacturing cost and waste. Headquartered in Sydney with a new development facility in Tempe, Arizona, Syenta has raised more than A$37 million, with former Intel CEO Pat Gelsinger joining its board.

semiconductor · advanced-packagingRead →
Legend
Gilad Shainer
Executive · Engineer · Operator

Gilad Shainer

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.

nvidia · infinibandRead →
Legend
Nathan Lambert
Engineer · Scientist · Author

Nathan Lambert

Nathan Lambert is a Senior Research Scientist and Post-Training Lead at the Allen Institute for AI (Ai2), where he leads open-source language model development on the OLMo and Tulu series. A UC Berkeley PhD, he previously led the RLHF team at Hugging Face, co-building the TRL library and the Zephyr model. He runs Interconnects AI, a Substack newsletter read by tens of thousands covering post-training, open models, and AI policy, and is the author of The RLHF Book (Manning Publications). With roughly 8,000 academic citations and a reputation for demystifying the hardest parts of modern AI, Lambert is one of the most trusted voices at the intersection of open-source AI research and public education.

ai · machine-learningRead →