Re: [ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)

[Vikram R]

Hi Enrico,

Thanks for the questions – please see my answers inline:

> “What exactly do you mean by that?”
By “AI-native” I mean ASIOS is designed from the ground up for AI
workloads, not retrofitted. It embeds ML-driven optimizations (e.g.
reinforcement-learning schedulers, Bayesian latency predictors),
deterministic scheduling, native multi-accelerator support and
built-in alignment/safety probes directly into the OS stack.

> “Why an old Ubuntu?”
We chose Ubuntu 24.04 LTS because it gives us a rock-solid,
long-term-support base with an upstream PREEMPT_RT HWE kernel (6.11)
that we can rebase regularly. It’s reproducible, widely deployed in
enterprise and cloud environments, and lets us focus on AI-centric
enhancements rather than reinventing the distribution.

> “If you’re talking AI, you mean datacenter, right? I’d trim things down…”
Our primary target today is bare-metal and VM-based AI clusters, but
ASIOS also supports very slim builds (we strip out unneeded services)
and future multi-distro releases (we’re planning Devuan,
Yocto/PTXdist, RHEL/SUSE variants).

> “Which symbols? ELF symbols or kconfig defines?”
The overlay logic deals with Kconfig symbols (CONFIG_*).
asios-config-overlay.sh skips any missing CONFIG options instead of
failing,

> Re: extra-deb tooling
Great pointer on deb-pkg – we’ll evaluate integrating it into our .deb
build pipeline to streamline packaging. I did run into some issues
packaging cross-architecture kernels with dpkg-buildpackage.

Please let me know if you have any other suggestions or questions!

Cheers,
—
Vikram R
KarLex AI, Inc.