ConceptOn-Device AI / On-Device推理 / 本地AI推理
On-Device AI Inference
An inference approach in which AI model weights are deployed and executed directly on end-user devices without requiring a network connection. It offers low latency and strong data privacy, but is constrained by mobile hardware in terms of model scale and inference capability compared to cloud-based inference.
Timeline (last 90 days)
Oct 23
On-device AI inference has two layers of meaning in security tool scenarios: privacy (data need not leave the machine) and real-time performance (no network round trip, enabling instant blocking), at the cost of requiring local compute and being limited in model scale, so detection capability is usually weaker than cloud-based large models.
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