Infrastructure Trends: On-Device, Edge, and Cloud for AI Builders

Where teams are running

• On-device copilots for field teams: sub-120ms responses with no cell service required.
• Edge caches for prompts and retrieval snippets, cutting UI latency by 35%.
• Cloud bursts for heavy training, paired with nightly quantization to keep costs flat.

Decision tree

Use on-device for privacy and low latency, edge for personalization, and cloud for experimentation. Keep observability consistent so you can move workloads without losing trust.

Tooling to try

• Lightweight vector stores at the edge
• Slim orchestration layers with policy-as-code
• Traffic replay harnesses to benchmark every deployment