Research
RESEARCH
Technical publications, analyses, and architectural documentation under Research.
Research
JULY 20268 MIN READ
Evaluating Sub-50ms Edge AI Inference for Real-Time Kitchen Systems
A technical benchmark comparing quantized small language models running on local POS edge hardware versus cloud-hosted frontier models for real-time order prioritization.
KEY ARCHITECTURAL TAKEAWAYS:
Edge-quantized 3B models achieve 99.2% intent extraction accuracy in noisy kitchen environments
Cloud latency variance (200ms–2500ms) introduces operational bottlenecks during peak dinner rush
Hybrid fallback topology: local edge execution with asynchronous cloud audit aggregation
Edge AIHospitality TechPerformance Benchmarks
AUTHORED BY Head of Applied AI