TinyML How Do You Run AI Models on Extremely Limited Hardware? A Deep Dive Into TinyML and Edge AI From Game Boy consoles to factory sensors, AI is escaping the data center. Learn the techniques, hardware, and software frameworks enabling machine learning on microcontrollers with just kilobytes of memory.
AI What Is Model Quantization and Which Format Should You Use for Local LLMs in 2026? Choosing between GGUF, GPTQ, and AWQ quantization formats can make or break your local LLM deployment. This data-backed guide breaks down which format works best for your hardware and use case in 2026.
Microsoft Microsoft Open-Sources BitNet: The 1-Bit LLM Inference Framework That Runs 100B Models on Your CPU Microsoft open-sources BitNet (bitnet.cpp), an inference framework that runs 100B parameter 1-bit LLMs on consumer CPUs with up to 6x speedup and 82% energy reduction.
