© Spark AI
G
Enterprise
Google Vertex AI
A fully managed, unified AI development platform for building, deploying, and scaling machine learning models and generative AI applications.
What is Google Vertex AI?
Vertex AI is Google Cloud’s comprehensive machine learning (ML) platform that lets you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications.
Key Features
- Model Garden: Access a vast repository of foundational models, including Gemini, Gemma, and popular open-source models, ready for deployment.
- Custom Training: Purpose-built MLOps tools to fine-tune models on your proprietary enterprise data securely.
- Agent Builder: Quickly create sophisticated, generative AI-powered chatbots and search engines grounded in your company’s live databases.
💰 Pricing
Vertex AI pricing is pay-as-you-go based on compute, storage, and model usage. Gemini API calls on Vertex are priced per token (e.g., Gemini 1.5 Pro at $3.50/million input tokens). Custom training jobs are billed per compute hour. A $300 free credit is available for new Google Cloud accounts. Enterprise agreements with committed use discounts are available.
🔄 Best Alternatives to Google Vertex AI
| Tool | Best For |
|---|---|
| Google AI Studio | Free, no-setup Gemini prototyping for developers |
| AWS Bedrock | Multi-model access in the AWS ecosystem |
| Azure AI Foundry | Microsoft’s managed AI platform with OpenAI models |
| Hugging Face | Open-source model hub with managed inference endpoints |
| Together AI | Fast, affordable open-source model inference API |