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Google Vertex AI
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The Google Cloud-native gateway to enterprise AI
ActionFlows connects to Google Vertex AI — Google Cloud's managed ML platform that hosts Gemini, Anthropic Claude, Meta Llama, Mistral, and third-party foundation models behind Google Cloud's identity, billing, and compliance umbrella. Connect once with your Vertex AI credentials, then drop any supported model into any flow as a native step.
Authentication via Google Cloud IAM, regional routing, VPC Service Controls, and Cloud Logging integration — all handled at the integration layer. For enterprises already on Google Cloud, this is the path that doesn't require new vendor contracts, new billing, or new compliance review.
Gemini, Claude, Llama, Mistral — one GCP account
Vertex AI hosts Google's own Gemini family alongside Anthropic Claude, Meta Llama, Mistral, AI21, and other third-party foundation models — all accessible through GCP identity and billing. Switch providers by changing a model ID, not by signing a new vendor agreement.
For teams that need vendor flexibility — falling back from Gemini to Claude when rate-limited, A/B testing Llama against Mistral — this is what Google sells and what differentiates Vertex AI from single-provider APIs.
The full enterprise ML platform stack
- VPC Service Controls for traffic that never traverses the public internet
- Customer-managed encryption keys via Cloud KMS integration
- Cloud Logging and Cloud Monitoring for every model invocation
- HIPAA, PCI DSS, SOC 1/2/3, ISO 27001, and FedRAMP compliance posture
- Regional deployment across 30+ Google Cloud regions
End-to-end MLOps under one platform
Vertex AI goes beyond inference — model fine-tuning, custom model deployment, experiment tracking, model registry, and pipeline orchestration in a single platform. For organizations running both off-the-shelf foundation models and custom ML workloads, this is the unified stack that removes operational fragmentation.
For data science teams already invested in Google Cloud, the integration cost is zero and the operational consolidation is real.
Why Google Vertex AI
For enterprises with Google Cloud footprint, Vertex AI is the path of least friction to production AI. No new vendor procurement, no new billing, no new compliance review — your existing GCP posture extends to AI workloads on day one.
For organizations comparing hyperscaler AI strategies, the question is "Vertex AI or Bedrock or Azure OpenAI" — and for GCP-aligned teams, the answer is Vertex AI with the bonus of multi-provider model catalog including Claude, Llama, and Mistral alongside Gemini.
Multi-provider catalog. One GCP account.
Google Gemini
Gemini 2.5 Pro, Flash, and Flash-Lite tiers. Google's flagship multimodal models with 2M-token context and native video understanding.
Anthropic Claude
Opus, Sonnet, and Haiku on Vertex AI. Reasoning leader for agentic coding and safety-critical workflows under GCP compliance.
Meta Llama Family
Llama 4 series on managed Vertex AI infrastructure. Open-weight reasoning at hyperscaler reliability with regional deployment.
Mistral, AI21, Others
Mistral Large for European workloads, AI21 Jamba for long-context tasks, and expanding third-party catalog under unified GCP access.
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