A developer's analysis shows that INT4 weight-only quantization speeds up decode but not prefill, because prefill is compute-bound while decode is memory-bound. The crossover point where a GEMM become…
Indian smartphone manufacturers are pushing 12GB or 16GB of RAM as the new standard for mid-range devices to support on-device AI features, which consume significant memory through model weights and K…
Two ESP32-S3 microcontrollers running a Llama-architecture language model have achieved the first multi-chip pipelined LLM inference on ESP32-class hardware, splitting layers across two boards connect…
On April 2, 2026, Google DeepMind released Gemma 4, a family of open-weight AI models built from Gemini 3 research and available under a permissive Apache 2.0 license. The models are natively multimod…