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Edge AI

Edge AI is running AI models directly on devices, smartphones, laptops, cameras, industrial machinery, vehicles, instead of remote cloud servers. "Edge" means the network's edge: processing happens where data is born.

Definition

Advantages: minimal latency, offline operation, structural privacy and lower operating costs at scale. Limits: local compute constrains model size, the natural territory of SLMs. The emerging pattern is hybrid: edge for fast, sensitive tasks; cloud for heavy ones.

Related terms

• SLM (Small Language Model)
• Latency
• Privacy by Design
• Inference
• Computer Vision

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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