{"id":1836,"date":"2026-06-28T07:29:47","date_gmt":"2026-06-28T07:29:47","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/?post_type=product&#038;p=1836"},"modified":"2026-07-06T01:47:21","modified_gmt":"2026-07-06T01:47:21","slug":"draco-64x-gb300-nvl72-ai-supercluster","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-64x-gb300-nvl72-ai-supercluster\/","title":{"rendered":"DRACO 64\u00d7 GB300 NVL72 AI SuperCluster"},"content":{"rendered":"<p>The DRACO 64\u00d7 GB300 NVL72 AI SuperCluster is RDP&#8217;s flagship sovereign AI factory \u2014 a turnkey, liquid-cooled multi-rack data hall of 4608 Grace-Blackwell Ultra GPUs across 64 unified NVLink-domain racks, joined by a non-blocking spine-leaf InfiniBand fabric, delivering ~1.3 PB HBM3e of aggregate GPU memory. It is the largest system RDP builds, sized to train the largest foundation models a nation or enterprise will run \u2014 on-premises, in INR, on a GST invoice.<\/p>\n<p>Engineered for sovereign-AI programmes and national-scale operators, it is delivered as a single engagement: RDP designs the reference architecture, integrates and burns it in, and hands over one validated AI factory with one warranty and one support contract \u2014 removing multi-vendor integration risk at the largest scale.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>64\u00d7 GB300 NVL72 \u00b7 ~1.3 PB HBM3e aggregate<\/strong> \u2014 4608 Grace-Blackwell Ultra GPUs, RDP&#8217;s largest single-engagement AI system.<\/li>\n<li><strong>64 unified NVLink domains + non-blocking InfiniBand spine<\/strong> \u2014 each NVL72 rack is one 72-GPU accelerator; 64 racks scale over a full-bisection fabric.<\/li>\n<li><strong>2,304\u00d7 NVIDIA Grace (ARM) (coherent) + Grace LPDDR5X coherent memory<\/strong> \u2014 Grace CPUs coherently attached to the Blackwell Ultra GPUs.<\/li>\n<li><strong>64 PB parallel NVMe parallel filesystem<\/strong> \u2014 data-hall-scale training data and checkpoint storage.<\/li>\n<li><strong>Multi-Rack data hall, liquid-cooled, turnkey<\/strong> \u2014 delivered, integrated and validated; one engagement, one warranty.<\/li>\n<li><strong>On-prem data sovereignty<\/strong> \u2014 training data and weights stay in-house; DPDP-friendly, air-gappable.<\/li>\n<li><strong>Make-in-India OEM<\/strong> \u2014 predictable INR pricing, GST tax invoice (HSN 8471), pan-India onsite support, GeM-procurable.<\/li>\n<li><strong>Scale path<\/strong> \u2014 extend the data hall with additional SuperPODs on the same fabric.<\/li>\n<\/ul>\n<h3>AI workload fit (what it actually runs \u2014 honestly)<\/h3>\n<ul>\n<li><strong>Frontier training:<\/strong> distributed pre-training of the largest foundation models across 4608 GPUs with 3D parallelism.<\/li>\n<li><strong>National-scale fine-tuning &amp; serving:<\/strong> fine-tune and serve many large models in parallel for an entire organisation or nation.<\/li>\n<li><strong>RAG, multimodal &amp; agentic platforms:<\/strong> the most demanding production AI platforms at sovereign scale.<\/li>\n<li><em>Engineering note:<\/em> at this scale the data hall is the computer \u2014 64 unified NVLink domains (72 Blackwell Ultra GPUs each, 288 GB per GPU) over a non-blocking InfiniBand spine. We co-design and validate real scaling for your workload; we do not quote a peak FLOPS number as a substitute for an engineered architecture.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>This is the top of RDP&#8217;s range: a complete, sovereign foundation-model factory. With ~1.3 PB HBM3e of GPU memory on a non-blocking fabric, it is sized to <strong>sustain<\/strong> the largest training runs and nation-scale serving on-prem \u2014 the owned, sovereign alternative to a hyperscale cloud region.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Government &amp; sovereign AI<\/strong> \u2014 a national foundation-model factory on GeM-procurable infrastructure.<\/li>\n<li><strong>Neocloud \/ hyperscale operators<\/strong> \u2014 a flagship GPU-cloud region built and validated end-to-end.<\/li>\n<li><strong>Large conglomerates &amp; BFSI<\/strong> \u2014 private frontier-model programmes under data-residency rules.<\/li>\n<li><strong>Healthcare &amp; life sciences<\/strong> \u2014 national research and imaging programmes, data in-house.<\/li>\n<li><strong>National labs &amp; defence<\/strong> \u2014 a sovereign frontier AI supercomputer.<\/li>\n<li><strong>Telecom &amp; public sector<\/strong> \u2014 nation-scale foundation-model platforms.<\/li>\n<\/ul>\n<h3>Performance \u2014 and how to be sure<\/h3>\n<p>We don&#8217;t publish inflated peak numbers. The honest picture: 4608 Grace-Blackwell Ultra GPUs (~1.3 PB HBM3e) on a non-blocking fabric are sized for the largest foundation-model training and nation-scale serving. <strong>Want certainty? Request a free scaling benchmark of your model and dataset on a representative configuration before you commit<\/strong>; we&#8217;ll send back real tokens\/sec, scaling efficiency and projected time-to-train.<\/p>\n<h3>Series &amp; upgrade path<\/h3>\n<ul>\n<li><strong>DRACO<\/strong> (flagship supercluster tier) \u2014 <em>this, the top of the range<\/em>.<\/li>\n<li><strong>Scale ladder:<\/strong> from single NVL72 racks and SXM pods up to this multi-rack GB300 data hall.<\/li>\n<li><strong>When to step up:<\/strong> add SuperPODs to the data hall \u2014 co-design the multi-pod fabric, power and facility with an RDP architect.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>At sovereign data-hall scale, owning is a strategic national decision: an always-on hyperscale cloud region dominates any budget over a multi-year horizon, while on-prem keeps sovereign data, weights and capability in-country. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a <strong>multi-year TCO and financing model<\/strong>.<\/p>\n<h3>Software &amp; day-one readiness<\/h3>\n<p>Ships <strong>pre-integrated and validated<\/strong>: NVIDIA driver, CUDA, cuDNN, NCCL, the InfiniBand stack, Slurm and\/or Kubernetes, container registry, PyTorch and vLLM \/ Triton \/ TensorRT-LLM on Ubuntu LTS, with monitoring and a scheduler. Optional managed operations and a full MLOps platform.<\/p>\n<h3>Power, cooling &amp; rack integration<\/h3>\n<p>A liquid-cooled multi-rack data hall with the highest power density in the range \u2014 RDP co-designs facility power, CDU\/manifold and water, the InfiniBand spine, floor layout and redundancy. <em>(Exact power, BTU, flow and facility figures confirmed in the design package.)<\/em> Full out-of-band management across the data hall.<\/p>\n<h3>Deployment, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Made to order<\/strong>, integrated, racked, cabled, cooled and burned-in in India; project timeline confirmed at quote.<\/li>\n<li><strong>Delivered as one engagement:<\/strong> NVL72 racks, leaf\/spine fabric, cabling, PDUs, cooling, parallel storage, and the full cluster software stack.<\/li>\n<li><strong>Onsite warranty + AMC<\/strong> with pan-India coverage, data-hall SLAs and a dedicated escalation path <em>(exact terms confirmed at quote)<\/em>.<\/li>\n<\/ul>\n<h3>Why RDP<\/h3>\n<p>14 years of Make-in-India infrastructure and <strong>300,000+ devices shipped<\/strong>. Indian OEM, INR pricing, GST tax invoice (HSN 8471), pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready deployment.<\/p>\n<h3>Buy with confidence<\/h3>\n<p>This is RDP&#8217;s flagship sovereign AI factory, made to order \u2014 <strong>talk to an RDP solution architect<\/strong>, co-design the reference architecture, fabric and data hall, get a multi-year TCO and financing plan, and <strong>run a scaling benchmark before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>64\u00d7 GB300 NVL72 \u00b7 2,304\u00d7 NVIDIA Grace (ARM) \u00b7 Grace LPDDR5X coherent memory \u00b7 64 PB parallel NVMe \u00b7 Multi-Rack data hall \u00b7 liquid-cooled<\/p>\n","protected":false},"featured_media":2128,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 64\u00d7 GB300 NVL72 AI SuperCluster \u2014 ~1.3 PB HBM3e, sovereign AI factory | RDP GPU Mart","rank_math_description":"RDP flagship sovereign AI factory \u2014 64\u00d7 GB300 NVL72 (~1.3 PB HBM3e), 64 unified NVLink domains + non-blocking InfiniBand, liquid-cooled. Train the largest foundation models on-prem. Make-in-India, GST invoice. 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