Google Announces Its Enterprise Agent Platform and Unveils Powerful New AI Chips

IBL News | New York

Google CEO Sundar Pichai announced yesterday at the opening of the Google Cloud Next conference in Las Vegas, the Gemini Enterprise Agent Platform.

Google’s platform, delivered through the Gemini Enterprise app, is geared toward IT and technical teams and is intended for building and managing agents at scale. It’s the company’s answer to Amazon’s Bedrock AgentCore and to Microsoft Foundry.

“It brings together the best of Vertex AI with transformational new features, including Agent Studio, Agent-to-Agent Orchestration, Agent Registry, Agent Identity, Agent Gateway, Agent Observability, and much more,” explained Thomas Kurian, CEO of Google Cloud.

The Agent platform performs trigger-based processes, edits files without switching apps, has an Inbox for managing agent activity, and offers Skills to create shortcuts for repetitive tasks and Canvas to create and edit files.

The underlying models are Google’s Gemini LLM, Nano Banana 2 image generator, and Anthropic’s Claude — with support for Claude Opus, Sonnet, and Haiku, including the new Opus 4.7 launched last week.

At the same event, Alphabet Inc.’s Google Cloud unveiled its eighth generation of TPUs, including the TPU 8t for training and the TPU 8i for inference, which will be generally available later this year. These tensor processing units, or TPUs, are a homegrown chip that’s designed to take on NVIDIA and become a greater force in AI

In addition, Google shared plans to turn the Chrome browser into an AI coworker for enterprise users at the workplace. It then uses AI to handle various tasks such as booking travel, entering data, scheduling meetings, and other related tasks in web-based work.

Google suggested that infusing AI into Chrome could be used to input information into the CRM based on content in a Google Doc, compare vendor pricing across tabs, summarize a candidate’s portfolio before an interview, pull key data from a competitor’s product page, and more.

These workflows will still require the physical user to manually review and confirm the AI’s input before any action.

The idea is to help speed up these more tedious tasks, freeing people to focus on what Google calls “strategic work.”