AI COMPUTE PLATFORM

Enterprise-Grade
GPU Infrastructure

From real-time inference to large-scale model training. Purpose-built for demanding AI workloads with sovereign data residency.

PHASE 1 — UNDER DEVELOPMENT

NVIDIA L40S Inference Platform

Phase-1 infrastructure is designed for production-grade inference workloads. The L40S platform is architected to deliver LLM inference, computer vision, and multimodal applications.

48GB GDDR6 VRAM per GPU

Designed for 70B parameter models with quantization

Ada Lovelace Architecture

4th Gen Tensor Cores with FP8 support

Optimized for Inference

Lower power draw, higher throughput per watt

L40S Specifications

GPU Memory 48 GB GDDR6
Memory Bandwidth 864 GB/s
FP8 Tensor 1.45 PFLOPS
FP16 Tensor 733 TFLOPS
TDP 350W
Form Factor Dual Slot PCIe
PHASE 2 — SCALING

64× NVIDIA H100 SXM Training Cluster

Phase-2 adds dedicated AI training capacity with the industry's most powerful datacenter GPU. The H100 SXM5 with NVLink enables distributed training at scale.

80GB HBM3 Memory

3.35 TB/s bandwidth for training large models

NVLink 4.0 Interconnect

900 GB/s bidirectional GPU-to-GPU

Transformer Engine

Dynamic FP8/FP16 precision for 4× speedup

H100 SXM5 Specifications

GPU Memory 80 GB HBM3
Memory Bandwidth 3.35 TB/s
FP8 Tensor 3.96 PFLOPS
FP16 Tensor 1.98 PFLOPS
NVLink Bandwidth 900 GB/s
TDP 700W

Cluster Configuration

64

H100 SXM GPUs

8

DGX-style Nodes

400G

InfiniBand NDR

5.12

TB Total VRAM

Supporting Infrastructure

High-performance networking and advanced cooling to maximize GPU utilization.

High-Performance Networking

400G InfiniBand NDR

Non-blocking fat-tree topology for distributed training

100G Ethernet Spine-Leaf

Storage network and management plane

RDMA over Converged Ethernet

Low-latency GPU-direct storage access

Redundant Uplinks

Multiple fiber paths to carrier-neutral facilities

Advanced Cooling Infrastructure

Direct Liquid Cooling (DLC)

Cold plate technology for H100 SXM modules

Hot/Cold Aisle Containment

Optimized airflow for air-cooled infrastructure

Free Cooling Hours

Dehradun climate enables 4000+ economizer hours

Target PUE ~1.27

Projected power efficiency (subject to final engineering)

Supported Workloads

Purpose-built for the most demanding AI and ML applications.

Large Language Models

Training and fine-tuning LLMs up to 175B+ parameters. Llama, Mistral, custom architectures.

Computer Vision

Image classification, object detection, segmentation. Video analytics at scale.

Multimodal AI

Vision-language models, speech recognition, audio generation. Cross-modal learning.

RAG Systems

Retrieval-augmented generation with vector databases. Enterprise knowledge systems.

Model Fine-Tuning

LoRA, QLoRA, full fine-tuning. Domain adaptation for enterprise use cases.

Scientific Computing

Molecular dynamics, drug discovery, climate modeling. Research-grade HPC.

DATA SOVEREIGNTY

Security & Compliance

Built for organizations that cannot compromise on data residency. All compute and storage remains within Indian jurisdiction.

Physical Security

24/7 security, biometric access, CCTV monitoring, mantrap entries

Network Security

DDoS protection, private VLANs, encrypted interconnects, zero-trust architecture

Compliance Ready

Designed for ISO 27001, SOC 2, DPDP Act compliance

Sovereign AI Benefits

Data never leaves Indian jurisdiction
No third-country data transfer concerns
Government and defense-ready
DPDP Act compliant infrastructure

Deploy Your AI Workloads

From inference APIs to dedicated training clusters. Infrastructure that scales with your ambitions.