Sovereign AI data center designed with hybrid-dynamic power architecture. Engineered to deliver enterprise AI compute at ~₹5/unit vs industry average of ₹7.2.
₹105Cr
Total Project Value
~₹5/unit
Target Energy Cost
64×
H100 SXM (Phase-2)
~1.27
Target PUE (Projected)
Our hybrid-dynamic power architecture delivers 30%+ cost savings compared to industry standard.
Projected reduction in electricity cost compared to unoptimized, grid-only industrial data centers under Uttarakhand HT tariffs.
Thermal Energy Storage shifts cooling energy across tariff windows; compute workloads remain continuous.
00:00 - 06:00
Off-Peak Grid
Lowest tariff window
06:00 - 18:00
Solar + TES Charging
Renewable generation
18:00 - 24:00
TES Discharge + Grid
Peak tariff mitigation
Capital-efficient execution with Phase-1 establishing energy infrastructure and operational foundation.
PHASE 1
Hybrid-Dynamic power infrastructure deployment
Data hall with inference-ready architecture
Thermal Energy Storage (TES) system
NVIDIA L40S inference platform planned
₹55 Cr
Phase-1 Capital
PHASE 2
64× NVIDIA H100 SXM training cluster
400G InfiniBand interconnect
Liquid cooling infrastructure
Enterprise & research workloads
₹50 Cr
Expansion Capital
Infrastructure designed for demanding AI workloads. From real-time inference to large-scale model training.
NVIDIA L40S Platform
Inference architecture with 48GB VRAM per GPU
H100 SXM Training (Phase-2)
80GB HBM3 with NVLink connectivity
RACK-01 / H100-CLUSTER
Infrastructure investors, enterprise customers, and government partners are invited to explore collaboration opportunities.
All performance metrics, cost projections, efficiency targets (including PUE and energy costs), and technical specifications presented on this website represent planned design assumptions and engineering projections for the NeuroVerse AI data center project currently under development. Phase-1 infrastructure is not yet operational. Actual performance, costs, and specifications are subject to final engineering, regulatory approvals, commissioning, and operating conditions. Energy cost projections are based on current Uttarakhand HT tariff structures, group captive solar arrangements, and thermal energy storage optimization models, which may vary based on regulatory changes and actual operating patterns. No revenue is currently being generated. This information is provided for evaluation purposes and should not be construed as a guarantee of future performance or returns.