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---
layout: default
title: Home
---
<div style="display: flex; align-items: flex-start; gap: 2rem; flex-wrap: wrap; max-width: 1200px; margin: 0 auto; padding: 2rem;">
<div style="flex: 0 0 auto;">
<img src="/assets/images/logo/AIxSIM_logo.jpg"
alt="AIxSIM Logo"
style="width: 160px; border-radius: 8px;">
</div>
<div style="flex: 1; min-width: 300px;">
<!-- <h1 style="font-family: 'Lato', Verdana, Helvetica, sans-serif;">AIxSIM</h1> -->
<p style="font-family: 'Lato', Verdana, Helvetica, sans-serif;">
We are AIxSIM.
</p>
<p style="font-family: 'Lato', Verdana, Helvetica, sans-serif;">
With the emergence of various AI model scaling laws, a critical question arises: Can existing hardware support the growth of these models, or will there be a significant game-changer that can perform the same tasks at radically lower costs? For these potentially groundbreaking or bold hardware designs, we are interested in estimating their impact on both system-level power and performance, as well as model-level accuracy.
</p>
<p style="font-family: 'Lato', Verdana, Helvetica, sans-serif;">
The AIxSIM collective, comprising experts from Imperial College London, the University of Cambridge, and the University of Edinburgh, strives to develop a collection of open-source instruments and frameworks dedicated to overcoming the cross-stack simulation obstacle. This endeavor is financed by the Advanced Research and Invention Agency (ARIA) as a part of the <a href="https://www.aria.org.uk/opportunity-spaces/nature-computes-better/scaling-compute/">Scaling Compute program</a>.
</p>
<p style="font-family: 'Lato', Verdana, Helvetica, sans-serif;">
If you are interested in any of our projects or collaborating with us, please reach out to <a href="mailto:a.zhao@imperial.ac.uk">a.zhao@imperial.ac.uk</a>.
</p>
</div>
</div>