Google Vertex AI is a managed ML platform on GCP with foundation model access. It's a good choice for GCP-native teams. Plugsky is the alternative for teams that want a multi-cloud model layer that runs the same control plane in any cloud — or on-prem — without the GCP-only constraint.
When to keep Vertex AI
Vertex AI is a good fit if:
- You are 100% on GCP and want to consolidate spend
- You need tight integration with BigQuery, Vertex AI Studio, or other GCP services
- You are building custom ML pipelines, not just LLM inference
- You need Gemini Pro/Ultra specifically
When to consider Plugsky
Plugsky is a better fit if:
- You need multi-cloud portability — same control plane in AWS, Azure, GCP, or on-prem
- You want OpenAI-compatible API (Plugsky is a drop-in replacement; Vertex uses Google's custom API)
- You need GCC data residency (Vertex has some ME regions; Plugsky has dedicated GCC entity and Arabic-native)
- You want flat monthly pricing instead of per-character pricing
- You need air-gapped sovereign deployment
Feature comparison
| Capability | Plugsky | Other |
|---|---|---|
| Foundation models | ✓ (18+ Plugsky models) | ✓ (Gemini, Claude, Llama, etc.) |
| OpenAI-compatible API | ✓ (drop-in) | ✗ (Google custom API) |
| Self-serve flat pricing | ✓ (from $20/mo) | ✗ (per-character) |
| Multi-cloud deployment | ✓ (AWS, Azure, GCP, on-prem) | ✗ (GCP only) |
| GCC data residency | ✓ (me-central-1, dedicated) | Limited |
| Air-gapped sovereign | ✓ | Limited |
| Custom ML pipelines | ✗ (inference only) | ✓ (Vertex AI Pipelines) |
| BigQuery integration | ✗ | ✓ (native) |
The biggest difference
Vertex AI is a GCP-native ML platform. Plugsky is a multi-cloud LLM layer. If you need to keep all your data in GCP and use BigQuery natively, Vertex AI is the right choice. If you need model choice, multi-cloud, and sovereign deployment, Plugsky is a better fit.
Frequently asked questions
Does Plugsky integrate with BigQuery?
Not natively. Plugsky is an LLM layer, not a data warehouse. If you need LLM + BigQuery, the typical pattern is: query BigQuery from your app, send the results to Plugsky for analysis or chat.
Can I use Gemini models?
Not through Plugsky. If you need Gemini specifically, Vertex AI is the right choice. If you want plugsky-frontier or plugsky-arabic, Plugsky is.
Is the API compatible?
Plugsky is OpenAI-compatible. Vertex uses Google's custom API. Switching from Vertex to Plugsky is a code change; switching from OpenAI to Plugsky is a 1-line change.
Can I use both?
Yes. Most teams run Vertex for custom ML training and Plugsky for LLM inference. Both can run in the same GCP project.