Introducing Gemini to all organizations

In 2023, Google introduced AI Hyper computer to train and serve generative AI models, Generative AI support in Vertex AI

Forbes, Formula E, and Spotify are building agents with Vertex AI, and Anthropic, AI21 Labs, and Cohere are training them

This architecture is available as a service in Google cloud regions for Google Distributed Cloud and edge data centers

Google released Pathways Language Model (Palm) in late 2022, followed by Palm 2, and now Gemini Pro. Google also introduced Med-Palm and Sec-Palm domain-specific models.

In terms of pod FLOPs, TPU v5p is 4X more scalable than v4. Cloud TPU v5e went live earlier this year.

For very complicated operations, Gemini Ultra is Google’s largest and most capable model, Gemini Pro is their best for scaling over a wide range of workloads, and Gemini Nano is Google’s most efficient for on-device tasks

Google’s most advanced text-to-image technology, was enhanced today. This version improves photorealism, text rendering, and logo generation so you can simply make text-overlapping photos and logos

Vertex AI supports Gemini by discovering, customizing, augmenting, managing, and deploying agents created against the Gemini API

Duet AI for Developers users can use more than 25 code-assist and knowledge-based partners’ datasets specific to their platforms to get AI assistance based on partners’ coding