AI PCs and NPU Workloads: Building a Hybrid Edge-Cloud Inference Operating Model
A practical blueprint for combining on-device NPU inference and cloud agents to balance latency, privacy, cost, and model quality.
A practical blueprint for combining on-device NPU inference and cloud agents to balance latency, privacy, cost, and model quality.
Operating guide for mixed AI PC fleets with endpoint controls and measurable productivity outcomes.
What recent momentum around offline dictation and ultra-efficient local models means for enterprise endpoint architecture.
How to use minimal GPT implementations as a controlled lab for architecture learning, benchmarking, and safe production decisions.
Practical architecture patterns for using Gemini Embedding 2 in search, RAG, and recommendation pipelines.
A practical framework for moving AI-enabled robotics workloads from prototype SBCs to production operations.
What it takes to turn emerging long-context 3D reconstruction research into reliable, cost-aware production systems.