DRACO Managed AI Software Platform

Overview

The DRACO Managed AI Software Platform is a fully-managed AI software platform — the OS, GPU drivers, CUDA/ROCm, frameworks, inference servers and schedulers, pre-integrated, hardened and kept up to date by RDP, so your team runs models instead of maintaining a stack. It runs on-premises behind your firewall, in INR, on a GST invoice, and is delivered configured and validated with the RDP infrastructure it runs on.

Engineered for AI/ML teams that want to skip stack-engineering, it delivers a maintained, secure, day-one-ready AI software environment, integrated with the rest of the RDP stack.

Key highlights

• Managed AI software platform — a maintained OS + driver + CUDA/ROCm + framework + inference-server stack.
• On-prem (managed) — runs on-prem; models and data stay in-house.
• Cluster-wide — spans the cluster, licensed as a managed subscription.
• Kept up to date — RDP patches and updates drivers, CUDA and frameworks with tested releases.
• Day-one ready — frameworks, inference servers and a model zoo configured and tested.
• Integrations: NVIDIA/AMD stack, PyTorch/TensorFlow, vLLM/Triton, Slurm/Kubernetes.
• Validated with RDP infrastructure — delivered configured for your cluster.
• Make-in-India OEM — predictable INR pricing, GST tax invoice, pan-India support, GeM-procurable.

What it does

• Maintained stack (primary): provides and maintains the full AI software stack on your cluster.
• Frameworks & inference: PyTorch/TensorFlow, vLLM/Triton/TensorRT-LLM, configured and tested.
• Security & updates: hardening, patching and tested release upgrades.
• Model & MLOps tooling: model zoo, registries and MLOps integration.

How it works

RDP installs, hardens and maintains the AI software stack on your cluster — OS, drivers, CUDA/ROCm, frameworks, inference servers and scheduler — delivering tested updates and support, so your team consumes a ready environment. RDP configures it for your cluster and integrates it with the RDP stack. Honest note: the managed scope and update cadence are defined in the service agreement.

Industry use cases

• Neocloud / AI providers — a maintained software layer for a GPU cloud.
• Government & national labs — sovereign, maintained AI software.
• BFSI & enterprise — governed, supported AI platforms.
• Research & higher-ed — a ready AI environment for teams.
• Manufacturing & energy — managed HPC + AI operations.
• Telecom — large-scale AI software operations.

Outcomes — and how to be sure

The outcome is a maintained, secure, day-one-ready AI environment your team just uses. Want certainty? Request a pilot on your cluster before you commit; we’ll show the platform and update process on your infrastructure.

Editions & scale

• DRACO edition — this, cluster-wide.
• Scale ladder: 64 → 128 → 256 → 1,024 → 4,096 nodes; multi-DC and managed editions available.
• Bundles: pair orchestration + DCIM monitoring + the managed AI platform.

On-prem vs cloud — the TCO case

A maintained on-prem stack avoids cloud lock-in and per-GPU SaaS fees, and frees your engineers from stack maintenance. RDP pricing is fixed in INR with a GST input-credit-eligible invoice — ask for a subscription quote and TCO.

Integration & compatibility

Integrates with NVIDIA/AMD stack, PyTorch/TensorFlow, vLLM/Triton, Slurm/Kubernetes, and the rest of the RDP stack — GPU servers, fabric, storage and cooling. Standards-based so it fits existing pipelines and tools.

Deployment & operations

Delivered installed and configured for your cluster, then maintained by RDP under the service agreement. (Exact managed scope, SLAs and update cadence confirmed at quote.)

Licensing, warranty & support

• Licensing: Annual subscription + managed service, cluster-wide.
• Support: pan-India support, updates and an escalation path; managed service included (exact terms at quote).
• Deployment: On-prem (managed), configured with the RDP infrastructure it runs on.

Why RDP

14 years of Make-in-India infrastructure and 300,000+ devices shipped. Indian OEM, INR pricing, GST tax invoice, pan-India onsite engineers, GeM availability, and DPDP / sovereign-AI-ready deployment.

Buy with confidence

This is on-prem cluster software — talk to an RDP solution architect, get a subscription quote and a pilot on your cluster before you commit. Request a quote to begin.

Specifications