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エッジ、コア、その間のすべて：リアルタイムAIのためのインフラ再構築

The cloud did its job. Now it is hitting a wall. Not a software walls. A physics one. The speed of light sounds fast until your system needs to react in real time. Autonomous vehicles cannot wait. Surgical robots cannot pause. Factory machines do not care about retries. When AI moves from analysis to action, milliseconds stop being a nice metric and start becoming the difference between working and failing. This pressure is showing up everywhere. According to Google Cloud’s 2025 State of AI Infrastructure Report, 98 percent of organizations are already exploring, developing, or running generative AI in production. AI is no longer a side project. It is in the critical path. Yet most infrastructure is still designed around a cloud-first mindset. Data is generated at the edge, sent…