Google AI Edge's LiteRT and LiteRT-LM enable deployment of Gemma 4 E2B on Raspberry Pi 5, achieving 99 tokens/sec prefill and 9 tokens/sec decode with a peak memory footprint of 1432 MB, powering the …
Google DeepMind released Gemma 4 12B, an encoder-free multimodal model that processes visual and audio inputs directly through a single decoder-only transformer, enabling local agentic workflows on st…
Google released Gemma 4 12B, a multimodal AI model with an encoder-free architecture that processes images and audio directly without separate encoders, enabling on-device agentic workflows on standar…
Google released Gemma 4 12B, a 12-billion-parameter model from Google DeepMind, along with tools enabling developers to run agentic AI workflows locally on laptops and everyday machines. The release i…
Google DeepMind released Gemma 4 12B, an open multimodal model designed for local, agentic workflows on everyday laptops. The model, now available through Google AI Edge tools including the macOS Gall…
Arm's Scalable Matrix Extension 2 (SME2) integrates a matrix-compute unit into the CPU, enabling up to 5x faster inference for generative AI workloads on mobile devices. It highlights how Google AI Ed…
LiteRT-LM, part of Google AI Edge, is an optimized runtime engine for deploying Gemma 4 models on-device across platforms like Chrome, ChromeOS, and Pixel Watch. It achieves high performance through a…