Using via Cloud: Bedrock / Vertex

AI Navigate Original / 4/27/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
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Key Points

  • Cloud-via (Bedrock/Vertex) eases enterprise-system embedding
  • Merits: security/compliance, billing integration, geo, SLA, multi-model
  • Bedrock for AWS+Claude, Vertex for GCP+Gemini, Azure for GPT
  • Mind feature gap, price add, region restriction; abstract via Vercel SDK

Why Choose Cloud-Via

You can call Claude or GPT directly via API, so why choose via AWS Bedrock or Google Vertex AI? The reason is ease of embedding into enterprise systems.

Cloud-Via Merits

  1. Security/compliance: data stays within AWS/GCP. Integrated into internal rules via VPC/IAM
  2. Billing integration: rolls into existing AWS/GCP billing. Easier for accounting too
  3. Geographic constraints: can specify data location country (cases requiring in-EU processing)
  4. SLA / support: if you have an enterprise contract, the responsibility boundary rides on the existing contract
  5. Multi-model: try multiple models like Claude, Llama, Titan, Mistral with the same API

3 Main Platforms

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Using via Cloud: Bedrock / Vertex | AI Navigate