DRACO 16-Node L40S HPC Cluster

Overview

The DRACO 16-Node L40S HPC Cluster is a turnkey 16-node HPC cluster that pairs CPU-forward compute with GPU acceleration — 3072 AMD EPYC cores across 16 nodes plus 64× L40S accelerators (3,072 GB GDDR6), wired with a low-latency InfiniBand fabric. It runs traditional FP64/MPI HPC and mixed AI on one cluster, on-premises, in INR, on a GST invoice.

Engineered for engineering, research and analytics teams that need real HPC throughput with AI on the side, it is delivered racked, cabled, scheduled and validated as a single system — RDP sizes the nodes, fabric, parallel storage, scheduler and cooling, with one warranty and one support contract.

Key highlights

• 3072 EPYC cores across 16 nodes — serious CPU throughput for FP64, MPI and memory-bound HPC.
• 64× L40S · 3,072 GB GDDR6 — GPU acceleration for AI inference, training and visualisation alongside HPC.
• InfiniBand NDR fabric — low-latency, high-bandwidth interconnect for tightly-coupled MPI jobs and collectives.
• 12 TB DDR5 ECC + 480 TB NVMe parallel NVMe — large memory and a high-throughput parallel filesystem for datasets and scratch.
• Scheduler-ready, turnkey — delivered with Slurm/Kubernetes, validated; one SKU, one warranty.
• On-prem data sovereignty — codes, data and models stay in-house; DPDP-friendly, air-gappable.
• Make-in-India OEM — predictable INR pricing, GST tax invoice (HSN 8471), pan-India onsite support, GeM-procurable.
• Scale path — grow node count and step up the accelerator (H200) as workloads demand.

AI workload fit (what it actually runs — honestly)

• HPC + simulation (primary): FP64/MPI workloads — CFD, FEA, molecular dynamics, EDA, risk and Monte-Carlo — across 3072 cores.
• AI inference & visualisation: the L40S is an Ada-generation accelerator strong at inference, rendering and mixed-precision AI; serve and fine-tune mid-size models alongside HPC jobs.
• RAG & agentic: production AI services co-located with HPC for engineering and research teams.
• Engineering note: the L40S (48 GB, no NVLink) is built for inference, visualisation and mid-size AI — not large-model pre-training. For heavy training, choose the H200 node variant or a GPU Server/SuperCluster. This cluster’s strength is balanced CPU-HPC + accelerated AI.

AI workload positioning

This sits at the HPC + applied-AI stage: a cluster for teams whose primary workload is simulation/analytics with AI alongside. With 3072 CPU cores and 64 accelerators on an InfiniBand fabric, it is sized to sustain real HPC throughput plus AI inference — where renting equivalent cloud HPC continuously gets expensive.

Industry use cases

• Manufacturing & automotive — CFD/FEA simulation plus AI-assisted design.
• Energy & engineering — reservoir, structural and process simulation.
• BFSI — risk, Monte-Carlo and quantitative analytics with AI.
• EDA & semiconductors — chip design verification at scale.
• Research & academia — a shared HPC + AI cluster for departments.
• Life sciences — molecular dynamics and bioinformatics pipelines.

Performance — and how to be sure

We don’t publish inflated peak numbers. The honest picture: 3072 EPYC cores and 64× L40S on InfiniBand are sized for converged HPC + applied AI. Want certainty? Request a free benchmark of your HPC codes and AI models, including an MPI scaling test, on this exact configuration before you buy; we’ll send back real performance and scaling efficiency.

Series & upgrade path

• DRACO (flagship cluster tier) — this.
• Node ladder: 4 → 8 → 16 → 32+ nodes; accelerator ladder: L40S (inference/viz) → H200 (training).
• When to step up: for large-model training, move to the H200 node variant, GPU Servers, or a rack-scale system — talk to an architect.

On-prem vs cloud — the TCO case

For sustained HPC, owning beats renting: a continuously-running cloud HPC cluster adds up fast, and on-prem removes egress and keeps codes and data in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice — ask for a 3-year TCO comparison.

Software & day-one readiness

Ships pre-integrated and validated: NVIDIA driver, CUDA, cuDNN, NCCL, MPI (OpenMPI/MPICH), the InfiniBand stack, Slurm and/or Kubernetes, with common HPC toolchains, PyTorch and vLLM / Triton on a supported Linux LTS. Optional managed cluster operations and an HPC/MLOps platform.

Power, cooling & rack integration

A 16-node cluster — RDP scopes rack power, cooling (air or liquid), the InfiniBand fabric and floor/rack requirements in the design. (Exact power, BTU, airflow and rack-depth figures confirmed on the build sheet.) Full out-of-band management across the cluster.

Deployment, warranty & support

• Made to order, integrated, racked, cabled and burned-in in India; lead time confirmed at quote.
• Delivered as one system: nodes, fabric switches, cabling, PDUs, parallel storage, and the full HPC/AI software stack.
• Onsite warranty + AMC with pan-India coverage, cluster-level support and an RMA/escalation path (exact terms confirmed at quote).

Why RDP

14 years of Make-in-India infrastructure and 300,000+ devices shipped. Indian OEM, INR pricing, GST tax invoice (HSN 8471), pan-India onsite engineers, GeM availability, and DPDP / sovereign-AI-ready deployment.

Buy with confidence

This is a turnkey HPC + AI cluster, made to order — talk to an RDP solution architect, size the nodes, accelerators and fabric for your codes, get a 3-year TCO, and benchmark your own workloads before you commit. Request a quote to begin.

Specifications