Gemini platform provides a comprehensive suite for technical teams to build, scale, and govern generative AI models, agents, and enterprise workflows.
What it is
Gemini platform is an open and integrated environment designed for technical teams to build, scale, govern, and optimize enterprise-grade AI agents and machine learning models. It combines multimodal model access, customization tools, and MLOps capabilities into a single surface connected with enterprise data.
Key features
- Access 200+ Google, third-party, and open-source models including Gemini 4 Argon, Claude, and Gemma via Model Garden.
- Use Agent Studio to design, test, and manage prompts and multi-agent workflows using natural language, code, or media.
- Integrate notebooks directly with BigQuery for unified data and machine learning workloads.
- Automate model development lifecycles with built-in MLOps tools for evaluation, pipelines, and model registries.
- Build sophisticated systems using the Agent Development Kit.
Who it's for
Gemini platform serves data scientists, machine learning engineers, and technical developers who need to construct, train, and deploy production-ready machine learning models and intelligent workflows at scale.
Pricing
Check the official website for current pricing.
Use cases
- Extract data from images
- Train custom machine learning models
- Deploy generative AI agents
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