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Google Cloud AI API
Google Cloud AI API, or Vertex AI, offers a consolidated platform for developers to create, manage, and deploy machine learning models using Google Cloud services.
Developed by Google Cloud
Reference for available routes, request structures, and live examples.
Get text predictions using Google Cloud AI
https://vertexai.googleapis.com/v1/projects/your-project/locations/us-central1/publishers/google/models/text-bison:predictcurl -X POST 'https://vertexai.googleapis.com/v1/projects/your-project/locations/us-central1/publishers/google/models/text-bison:predict' \
-H 'Authorization: Bearer YOUR_API_KEY'{
"instances": [
{
"content": "What is the capital of France?"
}
],
"parameters": {
"temperature": 0.2
}
}{
"predictions": [
{
"content": "The capital of France is Paris."
}
]
}- Train custom image classification modelOptimized Capability
- Run generative text completionOptimized Capability
- Deploy vector similarity searchOptimized Capability
- Orchestrate MLOps pipelinesOptimized Capability
- ✓ Highly scalable managed infrastructure
- ✓ Access to state-of-the-art Gemini models
- ✓ Rich set of MLOps tools (Model Garden, Pipelines, Feature Store)
- ✓ Global region availability for low latency
- ✗ Can get expensive at scale especially with GPUs
- ✗ Requires Google Cloud account and setup
- ✗ Complex pricing structure across components
- ✗ Steeper learning curve for complex pipelines
FAQs
API Specifications
v115–30 minutes (account setup, SDK install, initial config)
1000 requests per minute per project
New accounts receive $300 in Google Cloud credits valid for 90 days, plus monthly free vCPU (50h) and RAM (100GB-h) on Agent Engine runtime.
Use Case: Best For
Teams building scalable AI/ML systems with managed infrastructure
Not Recommended For
Very simple or low-volume use cases where lightweight APIs suffice
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