Benchmarking Edge Silicon: NPU vs GPU Inference
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?


How Google's LiteRT-LM framework handles session cloning and KV-cache management to run models like Gemini Nano natively on-device without exploding your memory.


The economic case for deploying local LLMs to eliminate API costs and latency. Why relying entirely on cloud inference is a massive tax on your margins.