Indian GPU + AI Server Hall MEP — NVIDIA SuperPOD + OCP Open Rack v3 + ASHRAE Class H1
A 5 MW GPU AI server hall (NVIDIA HGX H200-class) demands ₹1,860 Cr MEP capex with 50 × 100 kW racks + DLC CDU + InfiniBand NDR fabric + ASHRAE Class H1 + UPS + DG + thermal-runaway fire. NVIDIA SuperPOD + OCP v3 + ASHRAE TC 9.9 + IEC TR 62681 govern. India AI compute 200 MW (2024) → 5000 MW (2030). Three failures: air cooling for > 30 kW/rack throttling H100/H200 by 30 %, network on Ethernet TCP-IP instead of lossless RDMA fabric, burst-power capacity under-spec for 30→100 % AI ramp.
Indian GPU + AI server hall framework
India AI infrastructure — Indian AI Mission MeitY + private AI players (Yotta + AWS + GCP + Azure India + Ola Krutrim + JioBrain). NVIDIA + AMD + Intel GPU racks (H100 + H200 + B200 + MI300) consume 10-20 kW/rack vs 5-7 kW legacy. AI training cluster requires 30-100 kW/rack + sub-ms latency networking. Standards stack — NVIDIA SuperPOD reference architecture + OCP Open Rack v3 + ASHRAE TC 9.9 Class A1-A4/H1 + IEEE 802.3bj (InfiniBand) + IEC TR 62681 + India AI Mission Compute Strategy 2024.
5 MW GPU AI server hall MEP scope
| Component | Function | Spec | Capex (₹ Cr) |
|---|---|---|---|
| GPU racks (50 nos × NVIDIA HGX H200) | — | 100 kW per rack | 485 (excl GPU hardware) |
| Direct-Liquid-Cooling (DLC) CDU | — | 50 × 250 kW | 220 |
| InfiniBand + NDR/XDR network | 400 Gbps + lossless | — | 125 |
| ASHRAE Class H1 environment (warm-liquid) | 40°C/50°C supply/return | — | 85 |
| Backup CRAH (5 % air-cooled) | — | — | 85 |
| Hot-aisle containment + redundant rear-door HX | — | — | 45 |
| Power (15 MVA total — 5 MW IT + 10 MW BoP) | — | — | 485 |
| UPS (Li-ion + 8-min) | — | — | 125 |
| DG sets (4 × 2000 kVA) | — | — | 85 |
| BMS + DCIM (AI workload-aware) | — | — | 35 |
| Fire-fighting (clean-agent + water-mist + thermal-runaway) | NFPA 76 | — | 85 |
| Total 5 MW AI server hall | — | — | 1,860 |
Three Indian AI server hall MEP failures
- Air cooling for > 30 kW rack — air cooling caps at 30-40 kW/rack with rear-door HX; H100 + H200 demand DLC. Indian retrofits trying to deploy GPU in air-cooled DC face throttling + 30 % derating. Specify DLC from day-1 for AI workload.
- InfiniBand / RoCE network not designed for AI — AI training needs lossless 400 Gbps RDMA fabric. Standard Ethernet TCP-IP fails. Specify NVIDIA Spectrum-X or InfiniBand NDR per NVIDIA SuperPOD reference.
- Burst-power capacity under-spec — AI training runs ramp from 30 % idle to 100 % in seconds. DC power + cooling must handle 3x base ramp + smooth UPS handover. Specify dedicated AI-burst capacity per OCP Open Rack v3.
- NVIDIA SuperPOD Reference Architecture H200 + B200 + GB200 2024.
- OCP Open Rack v3 + Open Cooling Environments Workgroup 2024.
- ASHRAE TC 9.9 Class A4/H1 Thermal Guidelines 2024.
- IEEE 802.3 + InfiniBand Trade Association NDR/XDR 2024.
- IEC TR 62681 — DC Liquid Cooling.
- India AI Mission Compute Strategy MeitY 2024.
- TIA-942-C:2024 + Uptime Institute Tier 2024.
- NFPA 76:2024 + 855:2023 — DC Fire + BESS.