Skip to main content
FOSDEM PWA

Lowering the barrier of entrance in AI-native system development

UD2.120 (Chavanne) | Day 1 | 15:30 - 15:35 | Speakers: Tanya Dadasheva

Lowering the barrier of entrance in AI-native system development
A picture of a devroom at FOSDEM 2024
Open in browser

Notes

Abstract

Silicon engineering seems unobtainable elite industry only for those veterans of the industry that have access to expensive instruments and years of experience, right? Well, not anymore! With AI tools, coding agents and more and more available substrate to hook them up to, you can approach it as a system design, and start in days! Make new models inference on novel accelerator cards, put open cores in FPGA, and other tricks you can do without specialized engineering degrees. Not suggesting to tape it out and put it in production without proper review, but for prototyping and faster feedback cycles it's really changing the game! I'll demo a couple of examples all based on open IP!

Speakers

Tanya Dadasheva

Tanya Dadasheva is the Co-founder and Chief Executive Officer of Ainekko, a company committed to making AI hardware and software fully open, modular, and community-driven. Tanya leads with a vision for building developer-first infrastructure that is governed by collaboration, not control. Her belief that “community over code” should guide the future of AI reflects her broader mission at Ainekko which is to create an open-source platform where innovation can scale from the silicon level up. Before founding Ainekko, Tanya was a venture investor at Almaz Capital, where she backed early-stage startups across the OSS ecosystem and helped bring emerging market technologies into the global spotlight. She has also served as an open-source policy advocate, advising organizations on the governance and sustainability of shared software infrastructure. Tanya brings a rare mix of strategic clarity, business insight, and deep conviction in open collaboration to everything she builds. She earned her Master’s in Mathematics and Economics from Moscow State University, graduating summa cum laude.

Notice: The placeholder video image is licensed under CC BY-SA 4.0. The original image can be found hereChanges made to the image are: Cropped the image to a new ratio, part of the image was cut off.