Google Gemini is a multimodal AI system that encodes various data types into a shared latent vector representation space.
By integrating different modalities, such as text, images, videos, audio, and code, Gemini improves cross-modal comparisons and supports multimodal reasoning.
To handle the computational demands, Google utilizes Tensor Processing Units (TPUs), specialized processors designed to accelerate neural network tasks.
TPUs offer energy efficiency and are integrated into Google Cloud Platform (GCP) to power large-scale machine learning applications.