9 results
MAY 20, 2025 / AI Edge
LiteRT has been improved to boost AI model performance and efficiency on mobile devices by effectively utilizing GPUs and NPUs, now requiring significantly less code, enabling simplified hardware accelerator selection, and more for optimal on-device performance.
MAY 20, 2025 / AI Edge
Google AI Edge advancements, include new Gemma 3 models, broader model support, and features like on-device RAG and Function Calling to enhance on-device generative AI capabilities.
MAY 9, 2025 / Cloud
Revisit announcements from this year's Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, its application in a sample game, and scaling games with generative AI in Google Cloud.
APRIL 18, 2025 / Gemma
The release of int4 quantized versions of Gemma 3 models, optimized with Quantization Aware Training (QAT) brings significantly reduced memory requirements, allowing users to run powerful models like Gemma 3 27B on consumer-grade GPUs such as the NVIDIA RTX 3090.
MARCH 12, 2025 / Gemma
Gemma 3 1B, a new small language model for mobile and web applications via Google AI Edge, is now available, with increased efficiency, improved performance, and offline availability.
SEPT. 4, 2024 / AI Edge
TensorFlow Lite, now named LiteRT, is still the same high-performance runtime for on-device AI, but with an expanded vision to support models authored in PyTorch, JAX, and Keras.
JUNE 26, 2024 / AI Edge
Model Explorer, a new graph visualization tool from Google AI Edge, enables developers to overcome the complexities of optimizing models for edge devices.
MAY 29, 2024 / AI Edge
AI Edge Torch Generative API enables developers to bring powerful new capabilities on-device, such as summarization, content generation, and more.
MAY 14, 2024 / AI Edge
Released today, AI Edge Torch enables support for PyTorch, JAX, Keras, and TensorFlow with TFLite.