The new Gemini Enterprise Agent Platform is here

For the technical teams building the future, we’re introducing the Gemini Enterprise Agent Platform. It’s a complete, end-to-end workspace to build, govern and scale your AI agents with the world’s best models at your fingertips.
We’re providing direct access to Gemini 3.1 Pro, our most capable model yet for handling complex workflows, alongside Gemini 3.1 Flash Image (also known as Nano Banana 2) for creating stunning visual assets, and Lyria 3 for professional-grade audio. We’re also expanding our commitment to open choice by adding Anthropic’s Claude Opus 4.7.
You don’t have to be a machine-learning PhD to use these models or build an agent. Agent Studio, our low-code interface, lets developers and business users alike build and test agents using natural language.

It’s a massive shift. As of April 2026, Google has officially moved beyond “models as a service” and transformed Vertex AI into the Gemini Enterprise Agent Platform.
This isn’t just a rebranding; it’s a full-stack environment designed for the “agentic era.” Here are the highlights of what’s actually in the box:
1. The Development Duo: Studio & ADK
Google is targeting both ends of the technical spectrum:
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Agent Studio: A low-code, visual interface for business users to build and test agents using natural language.
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Agent Development Kit (ADK): A major code-first upgrade for engineers. It uses a new graph-based framework that allows you to organize agents into networks of specialized “sub-agents” to solve complex, multi-step problems.
2. Solving “Institutional Amnesia”
One of the biggest hurdles for agents has been context loss. The platform introduces:
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Agent Memory Bank: This provides persistent, long-term context. Agents can now “remember” project histories and specific user preferences over days or months, rather than resetting after every session.
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Agent Runtime: Re-engineered for long-running agents that can stay active for days to complete autonomous workflows.
3. Enterprise-Grade Governance
To prevent “shadow AI” and security leaks, Google added:
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Agent Identity: Every agent gets a unique cryptographic ID. This creates an auditable trail, so you know exactly which agent took which action.
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Agent Gateway: Acts as “air traffic control,” enforcing security policies and “Model Armor” protections to block prompt injections in real-time.
4. The Hardware Muscle
Running thousands of autonomous agents is computationally expensive. Google launched its eighth-generation TPUs to support this:
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TPU 8t: Designed for ultra-fast training.
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TPU 8i: Optimized specifically for inference (running the agents), claiming an 80% improvement in performance-per-dollar.
5. Multi-Model Ecosystem
While it’s a Gemini-first platform, it isn’t a walled garden. It supports Gemini 3.1 Pro and Flash, but also allows you to “hot-swap” reasoning engines with third-party models like Anthropic’s Claude 4.7 Opus.
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