HPC & AI Training
Infrastructure
RDP is building India’s sovereign HPC & Large-Scale AI Training infrastructure — multi-rack GPU clusters, petabyte-scale parallel storage, and InfiniBand fabric purpose-built for foundation model training, large-scale simulation, and national-level.
Why HPC & AI Training Infrastructure, Why Now
India’s research ecosystem — IITs, IISc, CSIR, DRDO, ISRO, and a growing AI startup landscape — faces a critical compute bottleneck. Training foundation models, running.
Target Segments
IITs, IISc & Central Universities
Foundation model research, NLP for Indian languages, computer vision, and scientific.
CSIR & National Labs
Materials science, drug discovery, climate modelling, and computational chemistry on.
ISRO & Space Research
Satellite imagery AI, orbital mechanics simulation, and earth observation analytics
DRDO & Defence R&D
Classified AI model training, simulation, and defence research computing on air-gapped.
AI Startups & Industry R&D
Foundation model fine-tuning, GenAI development, and enterprise AI training for Indian.
AI Startups & Industry R&D
Private sector R&D labs, AI product companies, deep-tech startups
Full Stack Architecture
Three integrated layers — hardware, software, and AI — purpose-built for research at institutional, state, and national scale.
INTELLIGENCE — AI Training Frameworks
PyTorch · JAX · DeepSpeed · Megatron-LM · NCCL · Custom Research Models
SOFTWARE — HPC Research Platform
SLURM Scheduler · Container Runtime · Jupyter Hub · MLflow · Monitoring · Research Tools
HARDWARE — RDP Proprietary Infrastructure
AI-POD Cluster · HPC GPU Nodes · PB-Scale Storage · InfiniBand Fabric · HA Cluster
RDP Proprietary Infrastructure
| Component | RDP SKU | HPC Role | Key Specification |
|---|---|---|---|
| HPC GPU Cluster | RDP AI-POD (Multi-Rack) | Multi-node distributed training for foundation models and simulations | 8–64× GPU, NVLink + NVSwitch |
| Training Node | RDP Training AI SKU | Single-node and multi-node AI model training | H100 / H200 — configurable |
| Parallel Storage | RDP NVMe Parallel FS | High-bandwidth dataset storage for training data pipelines | 1–5 PB, Lustre/GPFS, 100 GB/s |
| Network Fabric | RDP InfiniBand Fabric | HPC-grade GPU interconnect for distributed training | 400GbE InfiniBand NDR |
| Login / Dev Node | RDP Dev Workstation | Interactive development, debugging, and experiment management | NVIDIA RTX workstation-class |
HPC Research Platform
SLURM / PBS Pro
HPC job scheduler for multi-user GPU cluster management
Singularity / Enroot
HPC-optimised container runtime for reproducible research environments
JupyterHub
Multi-user interactive notebook environment for research teams
MLflow / W&B
Experiment tracking, model registry, and hyperparameter management
NVIDIA DCGM
GPU cluster monitoring, health checking, and utilisation analytics
Prometheus + Grafana
Cluster dashboards, alerting, and resource utilisation tracking
Foundation Model Training
Pre-training and fine-tuning of LLMs, vision models, and multimodal AI at scale
Scientific Simulation
GPU-accelerated CFD, molecular dynamics, climate models, and physics simulations
Indian Language AI
Training NLP models for Hindi, Tamil, Bengali, and all 22 scheduled languages
Federated Learning
Multi-institutional collaborative training without centralising sensitive data
Reinforcement Learning
Large-scale RL training for robotics, game AI, and autonomous systems
Synthetic Data Generation
GPU-accelerated synthetic dataset creation for training data augmentation
Pre-Validated AI Models
| Training Domain | Model Type | Application | Performance |
|---|---|---|---|
| LLM Training | Megatron-LM + DeepSpeed | Distributed training of billion-parameter language models with 3D parallelism | Linear scaling to 64+ GPUs |
| Vision Training | PyTorch + torchvision | Large-scale image classification, detection, and segmentation model training | ImageNet-scale in hours |
| Scientific HPC | GROMACS / LAMMPS / WRF | GPU-accelerated molecular dynamics, weather, and materials simulation | 100× faster than CPU-only |
| Indian Language NLP | IndicNLP + HuggingFace | Pre-training and fine-tuning for all 22 scheduled Indian languages | Supports 12B+ parameter models |
| Multimodal AI | CLIP / LLaVA / Gemma | Training vision-language models for Indian context and applications | Multi-GPU, mixed precision |
| Generative AI | Diffusion + GAN Training | Image, video, and audio generation model training at scale | Stable Diffusion-scale training |
Deployment Configurations
Three pre-validated tiers — each with hardware, software, AI models, and RDP SLA support. Custom BOQ on request.
Starter
Research Lab / Department
Professional
Institute / Multi-Group
Enterprise
National Programme / AI Mission
End-to-End on Sovereign Infrastructure
Complete pipeline from data ingestion to actionable intelligence — every step on RDP infrastructure.
PREPARE
& SHARD
TRAIN
& EVAL
REGISTRY
SERVE
Build With Us · Sell With Us
RDP’s Research AI platform is designed for India’s ecosystem. We’re inviting technology and channel partners, and direct inquiries from organisations.
Technology Partners
- Certify your HPC software on RDP GPU clusters
- Access multi-node test environments
- Joint go-to-market with RDP research team
- Co-branded solution briefs for government tenders
- SLURM / container integration support
Channel Partners
- Sell complete HPC & AI training solutions
- Pre-configured cluster deployment packages
- RDP-backed implementation & SLA support
- Partner margins on hardware + software
- HPC sales training & certification
Research Institutions
- Schedule an HPC solution workshop
- Request a GPU cluster proof-of-concept
- Get a custom Bill of Quantities
- Evaluate starter tier for your research group
- GeM / DST / MeitY procurement support
India’s Sovereign Research AI Infrastructure
Make in India Hardware
All RDP systems designed and assembled in India. GeM-listed for institutional procurement.
Research Data Sovereign
Research data, model weights, and IP stay on Indian institutional infrastructure. Zero export.
NVIDIA Certified Stack
DGX-Ready validated, CUDA optimised, and certified for HPC and AI research workloads.
DST / MeitY Aligned
National science and technology mission aligned. Eligible for research infrastructure funding.
5-Year Lifecycle Commitment
Hardware support, HPC engineering, and continuous performance optimisation throughout lifecycle.
Full Stack — Single OEM
Servers, storage, networking, software, and AI from one Indian OEM. One BOQ, one SLA.
Regulatory Alignment
| Standard | Scope | RDP Coverage |
|---|---|---|
| DST / MeitY Guidelines | Research Funding | Compliance with Department of Science & Technology and MeitY procurement frameworks |
| DPDP Act 2023 | Data Protection | On-premise training — zero cross-border data transfer for sensitive research data |
| ISO 27001 | Information Security | RDP infrastructure ISO 27001 certified for research environments |
| GFR / GeM | Government Procurement | General Financial Rules compliant, GeM-listed for institutional procurement |
| NVIDIA DGX-Ready | GPU Certification | NVIDIA-validated configurations for AI training workloads |
| BIS / MeitY | Indian Standards | BIS-certified hardware, MeitY-recognised Indian OEM manufacturer |
Projected Impact
| Metric | Before RDP AI | After RDP AI | Impact |
|---|---|---|---|
| GPU access time | Months (queue) | On-demand (dedicated) | Immediate access |
| Training cost | Cloud ₹5–10L/month | Fixed on-premise | Predictable TCO |
| Data sovereignty | Cloud export risk | 100% on-premise | Zero risk |
| Model scale | Limited by cloud budget | PetaFLOP-scale | Unlimited scaling |
| Research throughput | 1–2 experiments/week | 10–20 experiments/week | 10× more research |
| Collaboration | Siloed, per-group | Shared cluster, fair-share | Institute-wide access |
Ready to Build Research AI Capability?
From pilot to production — RDP designs, builds, and deploys sovereign AI infrastructure for India’s research ecosystem.
Trademark Notice: All product names, logos, and brands mentioned are property of their respective owners. NVIDIA, CUDA, L40S, A100, H100, H200 are trademarks of NVIDIA Corporation. Use is for identification only.
Disclaimer: RDP Technologies provides AI compute infrastructure. Research outcomes, model performance, and scientific conclusions are the responsibility of the deploying research organisation.
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