NVIDIA GB300 NVL72 Supercluster

Overview

A complete NVIDIA GB300 NVL72 Supercluster in a single, turnkey containerised node. Eight liquid-cooled GB300 NVL72 racks arrive pre-integrated as one production-ready AI factory node — 576 NVIDIA Blackwell Ultra B300 GPUs and 288 Grace CPUs operating as a single coherent accelerator, delivered to your site and commissioned as a plug-and-play unit rather than assembled on the floor over months.

Key highlights

• 8× GB300 NVL72 racks in one containerised node — 576 Blackwell Ultra B300 GPUs + 288 Grace CPUs as one system.
• ~165.6 TB HBM3e plus ~320 TB fast system memory as node-level unified memory.
• 1,040 TB/s aggregate NVLink bandwidth — near-zero-bottleneck all-to-all GPU communication.
• ~11.5 EFLOPS peak (FP4 sparse) and ~8.8 EFLOPS dense per node for trillion-parameter reasoning.
• Warm-water direct liquid cooling with in-row CDU rated up to 1.8 MW thermal dissipation.
• Redundant power: 64× 33 kW shelves with integrated busbars and comprehensive BMS/safety.
• High-speed data spine: ConnectX-8 (800 Gb/s) + BlueField-3 DPUs; Quantum-X800 InfiniBand or Spectrum-X Ethernet options.
• Complete stack: NVOS, full NVIDIA AI Enterprise (576 GPU subscriptions), Mission Control & DOCA — containerised and plug-and-play.

AI workload fit

• Large-scale / foundation-model pretraining at trillion-parameter scale.
• Post-training alignment and fine-tuning (SFT / RLHF) on frontier models.
• Real-time, test-time-scaling inference and serving.
• Agentic AI and multi-step reasoning workloads.
• Generative AI (text, image, video), NLP & speech model families.
• HPC + AI convergence and sovereign / national-scale AI.

AI workload positioning

This is a rack-scale-to-node building block for an AI factory. The balance of unified HBM3e capacity, 1,040 TB/s NVLink, and a high-speed ConnectX-8 / BlueField-3 data spine lets 576 GPUs train and serve models that will not fit on a single rack, while warm-water DLC and redundant 33 kW power shelves sustain the density in continuous production. It sits at the top of the DRACO tier — above a single GB300 NVL72 rack — and scales out to 16-, 32- and 64-rack superclusters.

Industry use cases

• Sovereign & public sector: data-resident national AI, on-soil foundation-model programs.
• Neocloud / AI cloud: multi-tenant training-and-inference capacity as a deployable node.
• Research & higher education: frontier-scale training for labs and institutions.
• Enterprise AI factories & GCCs: in-house model development and agentic platforms.
• Defence, telecom & government: secure, air-gap-capable large-scale AI.

Performance & how to be sure

Published node figures: ~11.5 EFLOPS peak (FP4 sparse) / ~8.8 EFLOPS dense, with a generational step over the Hopper baseline of ~50×+ AI-factory output, ~10× user responsiveness and ~5× throughput-per-watt. Rather than quote a single tokens/sec number that will not match your models, RDP offers a “benchmark your model” POC: bring your training run or inference workload and we will size and validate it against this configuration before you commit.

Series & upgrade path

DRACO is the flagship tier. The GB300 family scales: a single GB300 NVL72 rack-scale AI factory → this 8-rack containerised Supercluster (576 GPUs) → 16 / 32 / 64-rack superclusters. Start at the node that matches your model scale and add nodes as demand grows.

On-prem vs cloud (TCO)

For sustained frontier training and inference, an owned node removes per-GPU-hour cloud billing, data-egress fees and multi-tenant contention, and keeps data on-soil for DPDP / sovereignty requirements. RDP provides predictable INR capital pricing, GST input-credit invoicing (HSN 8471), and financing / lease options to compare against a 3-year cloud run.

Software & day-one readiness

Ships with NVOS managing the hardware layer, full NVIDIA AI Enterprise licensing across all 576 GPUs, and Mission Control + DOCA fleet orchestration. CUDA, cuDNN, drivers and container runtime are pre-integrated so the node is workload-ready on power-up.

Power, thermal & acoustics

Housed in a high-cube container: 64× 33 kW power shelves with redundant busbars, warm-water direct liquid cooling via an in-row CDU rated to ~1.8 MW. Site needs grid + network hookup and a warm-water loop; the container isolates acoustics and thermal from occupied space.

Deployment, warranty & support

Arrives pre-integrated and containerised, bypassing years of traditional data-center construction; plug-and-play for immediate grid and network hookup, with comprehensive training and detailed O&M documentation. Backed by full NVIDIA Enterprise support and RDP pan-India onsite service, GST invoice, and GeM availability. Lead time: 12–16 weeks. This is premium, constrained inventory — allocation is prioritised for strategic partners.

Why RDP

RDP Technologies is a Make-in-India OEM with 14+ years and 300,000+ units shipped, delivering sovereign / DPDP-ready AI infrastructure with predictable INR pricing, GST invoicing and pan-India onsite SLAs.

Full node configuration (bill of materials)

One node = 8× GB300 NVL72 racks. Per-node totals:

• Compute: 144× 1U liquid-cooled compute trays · 288× GB300 Grace-Blackwell Ultra superchips · 576× Blackwell Ultra B300 GPUs (288 GB HBM3e each; FP4/FP6/FP8 Tensor Cores) · 288× Grace CPUs (72-core Arm Neoverse V2, up to 480 GB LPDDR5X each).
• NVLink scale-up: 72× 5th-gen NVLink switch trays · 18 NVLink-5 links per GPU · 1.8 TB/s per GPU · 1,040 TB/s aggregate per node.
• In-rack networking: 576× ConnectX-8 SuperNICs (dual-port 800 Gb/s) · 144× BlueField-3 B3240 DPUs · 16× SN2201 OOB management switches.
• Scale-out fabric: NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet leaf/spine at 800 Gb/s per GPU (selected at design stage), with pre-terminated optical trunks.
• Storage: 1,152× E1.S 3.84 TB NVMe (PCIe Gen5) + 144× M.2 1.92 TB boot in-tray; external NVIDIA Enterprise RA-certified storage sized to workload.
• Power: 64× 33 kW power shelves · 48V DC busbars · IT load ~1.06–1.08 MW nominal, ~1.24 MW peak (EDPp), busway provisioned to ~1.54 MW.
• Cooling: warm-water direct liquid cooling · in-row CDU up to 1.8 MW with N+1 pumps · blind-mate manifolds and leak detection.
• Enclosure & safety: high-cube containerised module housing all 8 racks + CDU · clean-agent fire detection/suppression · environmental monitoring/BMS · physical access control.
• Software: NVIDIA AI Enterprise (576 GPU subscriptions) · Mission Control · NVOS · DOCA services on BlueField-3.
• Programme services: logistics, staging & commissioning · site integration and liquid-loop commissioning · burn-in & acceptance testing · operator training with as-built O&M documentation.

Sustained performance: ~8.6 EFLOPS FP4 sustained per node (peak ~11.5 EFLOPS sparse / ~8.8 EFLOPS dense).

Buy with confidence

Use Request a Quote to reach a named RDP solution architect for site assessment, benchmark-your-model POC, financing options and a delivery plan. No obligation.

Specifications