Gemini Enterprise Agent Platform: Build, Scale, and Optimize AI Agents with Google Cloud

The Gemini Enterprise Agent Platform is packed with features designed for comprehensive AI agent development. It provides a unified environment for accelerating agent development through integrated data and AI tools. Developers can quickly build generative AI applications using powerful models like Gemini. The platform also facilitates the training, testing, and tuning of ML models within a single, cohesive interface. A significant highlight is the access to over 200 Google and third-party AI models and tools, including cutting-edge multimodal models like Gemini 3.5 and open models like Gemma, all available through Model Garden. Advanced MLOps tools are integrated to automate, standardize, and manage ML projects, covering model evaluation, orchestration, registry, feature store, and monitoring. This ensures enterprise-grade AI agents are built, scaled, governed, and optimized effectively.

The Gemini Enterprise Agent Platform unlocks advanced AI capabilities across various enterprise functions. It's instrumental in building production-ready generative AI agents and applications that can scale with business needs. Developers can leverage the platform's secure environment to develop and deploy AI models and applications, using frameworks like the Agent Development Kit (ADK) for sophisticated agent customization. Common applications include extracting, summarizing, and classifying data using generative AI, designing intelligent agents in Agent Studio, and building AI-powered applications with Gemini models. The platform also supports the deployment of models for production use, enabling solutions for real-world problems.

Gemini models are central to development on the Agent Platform, offering powerful capabilities for building AI applications. Developers can use Agent Studio to design, test, and manage prompts for Gemini models, utilizing natural language, code, images, or video inputs. Sample prompts are available for tasks like extracting text from images, converting image mockups to HTML, and generating answers from uploaded media. The platform simplifies getting started with Gemini on Agent Platform, providing API keys and guides for building with these advanced models. Featured Gemini models are readily accessible, enabling developers to explore and integrate cutting-edge AI into their solutions.

Once AI models are developed and refined, the Gemini Enterprise Agent Platform facilitates their deployment for production use. The process involves registering the model in Model Registry, after which the Agent Platform prediction service can be utilized for both batch and online predictions. Tutorials and codelabs are available to guide users through getting predictions from ML models and simplifying model serving with custom prediction routines. The platform supports the use of prebuilt containers for prediction and explanation, and a video series, 'Prototype to Production,' offers a walkthrough from notebook code to a deployed model, ensuring a smooth transition to real-world application.

Understanding the pricing structure of the Gemini Enterprise Agent Platform is crucial for effective resource management. Pricing is based on the usage of Agent Platform tools, storage, compute, and other Cloud resources. New customers are offered up to $300 in free credits to explore the platform and other Google Cloud products. Costs vary for generative AI services (image, text, chat, code generation), custom-trained models, notebooks, and pipelines. Detailed pricing information is available, along with a pricing calculator to estimate costs and a custom quote option for organizations with specific needs. Getting started is made easy with free trial options and guides for setting up projects and notebooks.