AI Inference Cost Optimization: GPU FinOps in 2026
An AI inference cost optimization decision record: continuous batching, KV-cache, quantization, speculative decoding, spot GPUs, and autoscaling the inference path.
Implementing Edge AI with TensorFlow Lite Micro on ESP32: A Production How-To
Step-by-step guide to running ML models on ESP32 using TensorFlow Lite Micro — quantization, memory budgeting, ESP-NN acceleration, and deployment patterns.
Edge AI Inference at Scale: NVIDIA Jetson, Intel, and Arm NPUs (Updated 2026)
Edge AI inference at scale, updated for 2026: NVIDIA Jetson Thor, Hailo and Arm Ethos NPUs, INT4/FP8 quantization, runtimes, and how to pick edge accelerators by TOPS-per-watt.