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Which compute option should an ML Engineer choose for an INFERENCE workload on a low-power edge device (e.g. mobile, IoT) — referenced in PMLE §3.3 + §4.2?
ACloud Memorystore
BEdge TPU / Coral devices (or quantised TensorFlow Lite / ONNX models on the device)
CCloud DNS
DVertex AI Prediction running in a Google datacenter only
Answer & Solution
Correct answer: B. Edge TPU / Coral devices (or quantised TensorFlow Lite / ONNX models on the device)
Edge TPU + TF Lite is the edge-inference path (per PMLE §3.3, §4.2). The other options aren't edge.
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