{"id":142,"date":"2026-06-14T16:56:01","date_gmt":"2026-06-14T16:56:01","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/rdp-micro-data-center-pod-xl\/"},"modified":"2026-07-06T01:47:21","modified_gmt":"2026-07-06T01:47:21","slug":"draco-128x-h200-modular-data-center","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-128x-h200-modular-data-center\/","title":{"rendered":"DRACO 128\u00d7 H200 Modular Data Center"},"content":{"rendered":"<p>The DRACO 128\u00d7 H200 Modular Data Center is a turnkey, modular AI data centre \u2014 128\u00d7 NVIDIA H200 SXM5 (18,048 GB HBM3e) across coupled containerized modules, pre-integrated with liquid cooling, UPS, power distribution, physical security and DCIM monitoring on a spine-leaf InfiniBand fabric. It stands up a full GPU data centre on a slab where there is no built facility \u2014 for sovereign programmes, neoclouds and large enterprises \u2014 and runs on-premises, in INR, on a GST invoice.<\/p>\n<p>Engineered to deploy data-centre-scale AI without constructing a building, it couples self-contained modules into one validated system \u2014 GPU servers, fabric, liquid cooling, power and monitoring \u2014 delivered, integrated and burned-in as a single engagement with one warranty and one support contract.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>128\u00d7 H200 \u00b7 18,048 GB HBM3e<\/strong> \u2014 data-centre-scale AI capacity for training and inference, deployed on a slab.<\/li>\n<li><strong>Modular, self-contained<\/strong> \u2014 coupled containerized modules with GPU servers, fabric, liquid cooling, UPS, PDU, security and monitoring.<\/li>\n<li><strong>No building required<\/strong> \u2014 deploy where there is power and connectivity; expand by adding modules.<\/li>\n<li><strong>64\u00d7 Intel Xeon 6 + 16 TB DDR5 ECC<\/strong> \u2014 host compute and memory matched to 128 GPUs.<\/li>\n<li><strong>2 PB NVMe NVMe + Spine-leaf InfiniBand NDR<\/strong> \u2014 large parallel storage and a non-blocking fabric for distributed training.<\/li>\n<li><strong>DCIM remote monitoring + BMC\/IPMI<\/strong> \u2014 full remote management of power, cooling, environment and compute.<\/li>\n<li><strong>On-prem data sovereignty<\/strong> \u2014 data and models stay on site; 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<\/ul>\n<h3>AI workload fit (what it actually runs \u2014 honestly)<\/h3>\n<ul>\n<li><strong>Training &amp; inference at scale:<\/strong> distributed training and high-throughput serving across the 128 H200 GPUs over the InfiniBand fabric.<\/li>\n<li><strong>Large-model serving:<\/strong> serve 70B\u2013180B-class models, or host many large models concurrently.<\/li>\n<li><strong>Vision, multimodal &amp; agentic:<\/strong> organisation-wide production AI co-located with operations.<\/li>\n<li><em>Engineering note:<\/em> this is a data centre, not a single system \u2014 modular construction lets you stand up 128 GPUs of liquid-cooled, battery-backed capacity on a slab in months, not years. We validate real scaling on your workload rather than quoting a peak number.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>This sits at the <strong>deploy-a-data-centre<\/strong> stage: data-centre-scale AI without constructing a building. With 18,048 GB HBM3e across 128 GPUs plus its own power and liquid cooling, it is sized to <strong>sustain<\/strong> real training and serving at scale \u2014 the owned, sovereign alternative to leasing colocation or cloud.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Government &amp; sovereign AI<\/strong> \u2014 a deployable national AI data centre on GeM-procurable infrastructure.<\/li>\n<li><strong>Neocloud \/ providers<\/strong> \u2014 rapidly-deployed regional GPU data-centre capacity.<\/li>\n<li><strong>Large enterprise &amp; conglomerates<\/strong> \u2014 private AI data centres on owned land.<\/li>\n<li><strong>Energy &amp; resources<\/strong> \u2014 data-centre-scale AI at remote sites.<\/li>\n<li><strong>Telecom<\/strong> \u2014 regional AI data centres at the network edge.<\/li>\n<li><strong>Research &amp; higher-ed<\/strong> \u2014 an institutional AI data centre without new construction.<\/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: 18,048 GB HBM3e across 128 H200 GPUs on a non-blocking fabric is sized for data-centre-scale training and 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 the full power and cooling envelope.<\/p>\n<h3>Series &amp; upgrade path<\/h3>\n<ul>\n<li><strong>DRACO<\/strong> (flagship micro\/modular-DC tier) \u2014 <em>this, the largest in the line<\/em>.<\/li>\n<li><strong>Capacity ladder:<\/strong> pod \u2192 containerized \u2192 modular data center; expand by adding modules.<\/li>\n<li><strong>When to step up:<\/strong> for fixed-site mega-scale, see RDP Rack-Scale AI Systems, SuperClusters and Supercomputers \u2014 talk to an architect about the build.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>A modular data centre removes both construction time\/cost and recurring cloud or colocation fees: you own the compute, power and cooling as one deployable asset, with no egress and full data residency. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a <strong>multi-year TCO comparison<\/strong> including facility and construction savings.<\/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, Docker and NVIDIA Container Toolkit, with Kubernetes\/Slurm, PyTorch and vLLM \/ Triton \/ TensorRT-LLM on Ubuntu LTS, plus DCIM monitoring. Optional managed operations and an MLOps platform.<\/p>\n<h3>Power, cooling &amp; rack integration<\/h3>\n<p>A modular multi-container data center with liquid (CDU) cooling, integrated UPS, PDU and fire suppression \u2014 it provides its own thermal and power envelope; you supply site power and connectivity. <em>(Exact power draw, BTU, battery runtime, slab and footprint figures confirmed in the design package.)<\/em> Full DCIM and out-of-band management.<\/p>\n<h3>Deployment, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Made to order<\/strong>, integrated and burned-in in India; project timeline confirmed at quote.<\/li>\n<li><strong>Delivered as one system:<\/strong> modules, GPU servers, fabric, liquid cooling, UPS\/PDU, security, monitoring, and the full AI software stack.<\/li>\n<li><strong>Onsite warranty + AMC<\/strong> with pan-India coverage, data-centre 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 a turnkey modular AI data centre, made to order \u2014 <strong>talk to an RDP solution architect<\/strong>, size the modules, cooling and power for your site, get a multi-year TCO, and <strong>run a scaling benchmark before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>128\u00d7 H200 \u00b7 64\u00d7 Intel Xeon 6 \u00b7 16 TB DDR5 ECC \u00b7 2 PB NVMe \u00b7 Modular multi-container data center \u00b7 Integrated liquid (CDU) cooling + UPS<\/p>\n","protected":false},"featured_media":2044,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 128\u00d7 H200 Modular Data Center \u2014 18,048 GB HBM3e, deployable AI data centre | RDP GPU Mart","rank_math_description":"Turnkey modular AI data center \u2014 128\u00d7 H200 (18,048 GB HBM3e), liquid cooling + UPS in coupled containers, InfiniBand. Stand up a GPU data centre on a slab. Make-in-India, GST invoice. 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