AI infrastructure without lock-in

https://wiki-canyon.win/index.php/Why_Efficient_AI_Inference_Matters_for_Real-World_Applications

Building AI infrastructure without lock-in means you can swap out models, data pipelines, or compute providers without a massive headache. It's like having modular components that speak common formats, so your workflow stays flexible rather than being glued to one vendor's stack. This approach saves you from unexpected cost hikes and lets you adopt new tech as it matures, keeping your AI stack future-proof and independent.