AI has evolved from generating human-like content to reasoning, using tools, executing complex tasks, and increasingly interacting with the physical world. At the same time, the way we scale AI is changing—from training ever-larger models, to inference-time reasoning, and now to system-level augmentation through enterprise data, context, memory, tools, and continuous feedback loops.

As both proprietary and open models become capable enough to support a broad range of enterprise workloads, the next challenge is no longer the model alone. It is how to deploy AI securely, efficiently, and at scale. Enterprises must integrate heterogeneous compute and memory, orchestrate resources, manage models, govern data, and control agents as one coherent system.

This keynote will introduce the Phison AI Data Platform (AIDP), an end-to-end architecture that brings together aiDAPTIV-enabled hardware and tiered memory, resource orchestration, AI Ops, data intelligence, and agent management. It will also explore how the rise of GPUs and diverse xPU architectures creates a new opportunity for Taiwan and the United States to move beyond the traditional supply chain and jointly define the infrastructure for the next era of AI.