Gemini Enterprise Agent Platform is Google Cloud's unified platform announced on April 22, 2026 at Cloud Next '26. It is the direct evolution of Vertex AI — all existing Vertex AI services and future roadmap updates are delivered exclusively through Agent Platform. The platform provides full-stack infrastructure for building, deploying, governing, and optimizing enterprise-grade AI agents.
MLOps LifecycleiMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.
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Model Registry
✓Versioning — model artifact versioning
✓Approval workflows — approval workflow before production
✗Immutable artifacts — immutability of stored versions
✓Lineage tracking — tracking data and model relationships
✗RLHF workflows — reinforcement learning from human feedback
✓Manual override — manual override of model decisions
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Data & KnowledgeiData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).
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ApplicationsiAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.
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Architecture & MechanismsiArchitecture & MechanismsArchitectural foundations and modern AI processing methods that are natively supported or used by this platform.
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SecurityiEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.
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Developer EcosystemiDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.
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SDK Languages
PyPythonJSJavaScriptTSTypeScriptGoGo
API Type
RESTgRPC
Community & resources
Templates library
Quickstarts
API Reference
Tutorials
Pricing & Business ModeliPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).
SourcesiDocumentation VaultCentralized hub of links to official sources, technical guides, repositories and release notes.
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SustainabilityiSustainabilityCarbon footprint, renewable-energy share powering data centers, and energy-efficiency metrics (e.g. PUE).
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Carbon footprint tracking
64% renewable energy
Average annual Power Usage Effectiveness (PUE) across Google data centers is 1.09 (vs industry average ~1.56). Goal: 100% carbon-free energy 24/7 across all data centers and offices by 2030.
