Gemini Flash on Vertex AI – India Region Availability and Latency for Real-Time Voice Agents

We are from FarmVaidya.ai, developing a production real-time AI voice agent for users in India.

We are evaluating Gemini Flash models through Vertex AI. For the models we are evaluating, we currently see Global and us-central1 availability, but we don’t see an India region endpoint.

Our use case is highly latency-sensitive because the application is a real-time voice conversation involving STT → Gemini → TTS. Additional network/inference latency directly affects the conversational experience.

We would like to understand:

  1. Is an India region currently available or planned for these Gemini Flash models?

  2. For users in India, should we use the Global endpoint or us-central1 for the lowest practical latency?

  3. Is there a recommended Google Cloud architecture or routing configuration to minimize latency from India?

  4. Are there upcoming India-region Gemini endpoints suitable for real-time voice applications?

  5. Is there an early-access program for upcoming India-region Gemini models/endpoints?

Models we are evaluating include:

  • Gemini 2.5 Flash-Lite
  • Gemini 3.1 Flash-Lite
  • Gemini 3.5 Flash-Lite
  • Gemini 3.5 Flash
  • Gemini 3.6 Flash
  • Gemini 3.7 Flash
  • Gemini 3.8 Flash

Company: FarmVaidya.ai
Use case: Production real-time AI voice agent
Primary users: India
Service: Vertex AI / Gemini

We would appreciate guidance from Google Cloud engineers or the community on the recommended architecture for minimizing latency for India-based users.