About Google Vertex AI
Vertex AI is Google Cloud's managed platform for developing and running machine learning and generative AI applications. Its homepage now carries the name Gemini Enterprise Agent Platform, formerly Vertex AI, and describes a platform where developers build, scale, govern and optimize agents.
The platform brings model access, tuning and deployment into the Google Cloud environment, so teams can move from experimentation to production without assembling separate tooling. It is used for traditional machine learning as well as generative models, and it ties into the surrounding Google Cloud services for data, security and billing.
Vertex AI is a proprietary, cloud-only service operated by Google. It is billed through Google Cloud and is aimed at enterprises and developers already working in that ecosystem.
Key features
- Managed training and tuning of models
- Deployment of models to managed endpoints
- Generative AI model access on Google Cloud
- Agent building and governance tooling
- Integration with Google Cloud data services
Good fit for
- →Enterprises deploying generative AI on Google Cloud
- →Data science teams training and serving models
- Tags
- mlops
- generative-ai
- google-cloud
- model-deployment
- ai-agents
- managed-service
- ai-infrastructure
Google Vertex AI: questions and answers
- What is Google Vertex AI used for?
- Google Vertex AI is a Google Cloud platform for building, tuning and deploying machine learning and generative AI models and agents. It is a good fit for enterprises deploying generative AI on Google Cloud, and data science teams training and serving models.
- How much does Google Vertex AI cost?
- Google Vertex AI is a paid product with no free plan.
- Is Google Vertex AI open source?
- No. Google Vertex AI is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Google Vertex AI include SGLang, MLflow and KubeDL.
- What are some alternatives to Google Vertex AI?
- Google Vertex AI competes with Amazon SageMaker, Amazon Bedrock and Azure Machine Learning. For open-source options, see Enlisted's ranked list of open-source Google Vertex AI alternatives.
Open-source alternatives to Google Vertex AI
See all
SGLang
AI Infrastructure
SGLang is a high-performance serving framework for large language models and multimodal mo
Apache-2.0vs Amazon Bedrock★ 37k
MLflow
AI Infrastructure
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables te
Apache-2.0vs Weights & Biases★ 28k
KubeDL
AI Infrastructure
Run your deep learning workloads on Kubernetes more easily and efficiently.
Apache-2.0vs Amazon SageMaker★ 534
vLLM
AI Infrastructure
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache-2.0vs Amazon Bedrock★ 93k
Backend.AI
AI Infrastructure
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular
LGPL-3.0vs RunPod★ 673
Instill Core
AI Infrastructure
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orches
OSSvs Unstructured★ 2.3k
SaaS alternatives to Google Vertex AI
See all
Amazon SageMaker
AI Infrastructure
AWS platform for building, training and deploying machine learning models
SaaS
Amazon Bedrock
AI Infrastructure
Managed AWS service for building generative AI apps with models from several providers
SaaS
Azure Machine Learning
AI Infrastructure
Microsoft cloud service for training, deploying and managing machine learning models
SaaS
Azure AI Foundry
AI Infrastructure
Microsoft platform for building, evaluating and deploying AI apps and agents on Azure
SaaS
Databricks
Data Pipelines & ETL
Lakehouse platform for data engineering, analytics and machine learning
SaaS
DataRobot
AI Infrastructure
Enterprise platform for building, deploying and governing AI and ML applications
SaaS

