Understanding AI workloads on Linux

Hi everyone,

I’m a PM working on security for Linux environments and trying to better understand how AI workloads are actually showing up in production today.

Would appreciate hearing from folks here:

• Are you running any AI workloads on Linux today? Or actively exploring?
• What does your deployment/setup look like — e.g., model training/inference, agents, MCP servers, data pipelines, etc.?
• How are you thinking about securing this stack, if at all?

If you’re open to a quick 30-min chat, I’d love to learn more from your experience as well.

Thanks in advance — this will directly help shape where we invest next.