GCP - Gemini vs Vertex AI
TL;DR
- Gemini is a family of large language models (LLM).
- Vertex AI is the infra, as part of GCP, to run models (including Gemini models) and for building AI applications.
Gemini
- Gemini is a family of models.
- Gemini can be accessed from https://gemini.google.com/ or Google AI Studio.
- Gemini is also integrated with Google 1st party products like googe.com, Google Workspace, etc.
- Gemini can be used in Vertex AI.
Vertex AI
- Vertex AI is not a model.
- Vertex AI is a platform to build AI applications.
- Vertex AI supports hundreds of models, including Gemini models.
- Vertex AI can be used for both training and prediction.
- Vertex AI similar services:
- AWS SageMaker + Bedrock
- Azure Machine Learning
Recommended Reading
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- GCP - Enterprise
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GCP - Versus
- GCP - Versus
- GCP vs Kubernetes
- Gemini vs Vertex AI
- Asset vs Resource
- Service Account vs Service Agent
- Dataflow vs Dataproc
- Producer vs Consumer vs Tenant Project
- CSEK vs CMEK
- Secret Manager vs Cloud KMS
- Persistent Disk Snapshot vs Disk Image
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- Cloud Hub vs App Hub vs ADC
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- Cloud IAP vs Cloud SWP
- GCE Metadata Server vs GKE Metadata Server
- Project vs Resource Level IAM Binding
- GKE vs GKE Enterprise
- Cloud PubSub vs PubSub Lite vs Managed Kafka
- VPC Peering vs VPC Service Perimeter

