Gemini's Inner Workings: A Deep Dive into Tensor Processing and Model Parallelism
The advent of large language models (LLMs) like Google’s Gemini has revolutionized what’s possible in AI. While much attention is paid to their impressive capabilities, the underlying infrastructure and architectural patterns that enable them are a testament to cutting-edge engineering. This post dives deep into the “under-the-hood” aspects of Gemini, focusing on the specialized hardware for tensor processing and the intricate strategies employed for model parallelism. The Tensor Processing Engine: Beyond the CPU At the heart of any LLM’s ability to perform complex calculations lies its proficiency in handling tensors.