Architecture reference
India Infrastructure Benchmarks
Illustrative architecture estimates for AI agents and MCP servers deployed in the Indian subcontinent, useful for reasoning about region selection before you benchmark your own workload.
Data label: the numbers below are simulated architecture examples based on typical network round-trip times and standard cloud instance overhead — not live measured telemetry from real servers. Always benchmark your specific workload before making a deployment decision.
~15ms
p99 latency, Mumbai region (illustrative)
1,500
req/sec per node (illustrative)
~₹4K/mo
compute cost, single node (illustrative)
Regional Comparison
| Region | Sim. p50 | Sim. p99 | Sim. Cost |
|---|---|---|---|
| 🇮🇳 Mumbai (ap-south-1) | 9ms | 15ms | Baseline |
| 🇮🇳 Bengaluru (asia-south2) | 11ms | 18ms | Baseline |
| 🇸🇬 Singapore | 28ms | 45ms | +10% |
| 🇺🇸 US East | 42ms | 78ms | +20% |
| 🇪🇺 EU (Frankfurt) | 55ms | 102ms | +25% |
* Illustrative values derived from typical network round-trip times and compute overhead — not measured from live servers.
Designing for India
These estimates suggest Mumbai and Bengaluru are reasonable anchor regions for latency-sensitive MCP servers serving Indian users. For production deployments, always benchmark your specific workload rather than relying on generic estimates.