NVIDIA Jetson Thor: Humanoid Robot Compute Architecture
NVIDIA Jetson Thor architecture for humanoid robots — the compute stack, VLA model serving, real-time partitioning, power envelope, and where it fits.
Federated Learning for IoT: FedAvg, FedProx, and Privacy Architecture
Federated learning for IoT — FedAvg vs FedProx vs FedOpt aggregation, secure aggregation, differential privacy budgets, and a 2026 deployment blueprint for edge fleets.
Edge LLM Benchmark Q2 2026: Llama 3.3, Phi-4, Gemma 3 on Jetson Orin
Living benchmark — Llama 3.3 8B, Phi-4 14B, and Gemma 3 9B running on Jetson Orin AGX 64GB. Tokens/sec, time-to-first-token, memory, power. Updated quarterly.
Apple On-Device AI 2026: Neural Engine, Private Cloud Compute Architecture
How Apple Intelligence works — A19 Neural Engine, Private Cloud Compute, attested ML servers, model routing, and the privacy-preserving AI architecture.
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: Deploying Optimized Models on NVIDIA Jetson, Intel Movidius, and ARM NPUs
Complete engineering guide to deploying optimized AI models on edge hardware. Model quantization, TensorRT optimization, containerized inference pipelines, and fleet management at scale.