Michael Søndergaard

AI compute is bottlenecked. When the hardware mix inevitably diversifies, how will production clusters actually operate? Our CEO @SpectralMichael is joining @AkashBajwa96's Gradient Descending roundtable this Wednesday to dig into the evolving hardware landscape.

What does the AI cluster of the future look like? Hint: it won't just be a wall of B200s. Our CEO Michael Søndergaard is joining @AkashBajwa96 for the next Gradient Descending roundtable to discuss ASICs, non-NVIDIA chips, and breaking the software lock-in. 🗓️ Feb 25 | 8:30 AM GMT 🎟️ Request invite: luma.com/f7s69jj2 #AI #HPC #DeepTech #AMD #NVIDIA #ASIC

@jtatarchuk @SpectralCom Will save one for you! (Ps fixed my handle now)

@SpectralCom @MichaelSnd43892 i need one of these shirts!

We told Michael to pretend the pins were #GPU vendor lock-in.

@HotAisle What if only the ports weren’t necessary and the upstream versions just worked without needing to be seperately maintained?

6 months ago, AMD moved a bunch of NVIDIA -> ROCm ported projects to a different location on GitHub. It showed promise that things were going to be improved on. Since then, the NVIDIA upstream projects have moved on to newer versions (ex: rmm fork is still 25.02 and upstream is now 25.10+). Those improvements don't appear to have been fully ported back to the forks. Today, the ports still don't have CI / CD setup or individual releases, and it was all just declared "production ready." cc: @AnushElangovan