Beyond the Cloud: Why We’re Rebuilding the AI Stack from the Metal Up We are living in a golden age of AI models, yet we are still relying on a computing stack built for graphics rendering and massive-batch training. We are essentially trying to run the future of intelligent agents on hardware designed to render shaders. If you are a systems or hardware engineer, you’ve felt the frustration. You’ve watched nvidia-smi and seen your GPU utilization hover at 15% while serving a single user. You know the truth: using a training-optimized GPU for batch-size-1 inference is a spectacular waste of silicon, power, and money. ...