DRACO 64× MI430X Sovereign AI & HPC Rack

Overview

The rack built for the two workloads national programmes actually run. AMD positions Instinct MI430X explicitly for sovereign AI and HPC — strong FP64 for science alongside AI training and inference. Sixty-four accelerators in a liquid-cooled, open-fabric rack, deployable entirely on-soil.

Key highlights

• 64× AMD Instinct MI430X — the part AMD positions for sovereign AI and HPC.
• FP64 scientific computing and AI in one system — no separate HPC cluster required.
• Open Ethernet fabric — standard switching and optics, no proprietary lock-in.
• Liquid-cooled rack-scale integration, commissioned by RDP in India.
• Air-gap capable and DPDP-aligned — designed for classified and regulated estates.
• AMD has genuine TOP500 provenance in this class, including MI355X entries.
• Supply-chain diversification away from a single accelerator vendor.

AI workload fit

• HPC & AI convergence — simulation, modelling and AI on one estate.
• LLM training and full fine-tuning for national-language and domain models.
• Large-scale inference for public-service AI.
• Sovereign AI programmes with on-soil and air-gap requirements.
• Scientific workloads needing genuine FP64, not only low-precision AI.
• Research computing shared across institutions and departments.

AI workload positioning

Where the frontier rack chases maximum AI throughput, this one answers a different and very common brief: a national lab, defence establishment or research institution that must run both classical FP64 simulation and modern AI, on domestic infrastructure, without buying two separate systems. AMD’s explicit sovereign/HPC positioning for MI430X makes it the most on-thesis silicon released this generation for that requirement. All AMD performance and capacity figures quoted here are AMD-published and are presented as such — they are not RDP measurements. Availability follows AMD’s stated schedule and allocation; RDP confirms silicon availability, delivery window and final configuration in writing at quotation.

Industry use cases

• Public sector & sovereign: national compute serving both science and AI mandates.
• Research & education: university and national-lab shared HPC+AI facility.
• Defence & aerospace: CFD, structural simulation and AI on one air-gapped estate.
• Healthcare & life sciences: genomics and molecular simulation alongside clinical AI.
• Manufacturing: engineering simulation plus industrial AI in a single investment.

Performance & how to be sure

MI430X is chosen for balance rather than a single headline number: credible FP64 throughput for science alongside competitive AI performance, with AMD’s large per-GPU memory. Rather than quote a tokens/sec figure that will not match your workload, RDP offers a “benchmark your model” session: bring the model, precision and context length you actually intend to run, and we will validate it on this exact configuration before you commit.

Series & upgrade path

Beside: 72× MI455X for maximum AI throughput, and the NVIDIA GB300 NVL72 for the CUDA-ecosystem comparison — RDP quotes all three side by side. Below: AMD Instinct and NVIDIA SXM single nodes. Above: multi-rack sovereign superclusters.

On-prem vs cloud (TCO)

For sustained daily AI work this configuration removes per-GPU-hour billing, queueing for scarce instances, and egress charges on your own data — and keeps everything on-premises for DPDP and data-residency obligations. Cloud still wins for burst capacity and one-off very large training runs; on-prem wins on sustained utilisation, control and predictable INR capital cost. We model the crossover with your actual usage rather than assert it.

Software & day-one readiness

Software stack is ROCm-based: ROCm runtime and libraries, PyTorch and JAX support, vLLM and SGLang for serving, Kubernetes/Slurm orchestration, plus cluster management and telemetry. Migration from CUDA is a real engineering exercise and RDP scopes it honestly as part of the proposal rather than treating it as a drop-in swap.

Power, thermal & acoustics

Liquid-cooled rack with in-row CDU and high-capacity power distribution. A full facility survey — power, cooling, water loop, floor loading and security — is part of the engagement. Exact wattage, BTU and dB(A) figures come from RDP bench measurement rather than estimates — ask for the site-readiness sheet with your quote.

Deployment, warranty & support

Built to order by RDP Technologies. Supplied with GST invoice (HSN 8471), pan-India onsite support, and availability through GeM for public-sector procurement. Built to order — allocation-dependent; AMD MI400-series systems ship from 2H-2026. Confirmed at quotation.

Why RDP

RDP Technologies is a Make-in-India OEM with 14+ years and 300,000+ units shipped, supplying AI infrastructure from desk-side systems to rack-scale AI factories — with predictable INR pricing, GST invoicing and pan-India onsite service.

Buy with confidence

Use Request a Quote to reach an RDP solution architect for sizing, a benchmark-your-model session, financing options and a delivery plan. No obligation.

Specifications