{"id":141,"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-max\/"},"modified":"2026-07-06T01:47:21","modified_gmt":"2026-07-06T01:47:21","slug":"draco-64x-h200-containerized-micro-data-center","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-64x-h200-containerized-micro-data-center\/","title":{"rendered":"DRACO 64\u00d7 H200 Containerized Micro Data Center"},"content":{"rendered":"<p>The DRACO 64\u00d7 H200 Containerized Micro Data Center is a turnkey, self-contained AI data centre \u2014 64\u00d7 NVIDIA H200 SXM5 (9,024 GB HBM3e) pre-integrated with integrated liquid (cdu) cooling, UPS, power distribution, physical security and remote monitoring in an ISO shipping container. It places real AI capacity where there is no built data centre \u2014 a campus, remote site \u2014 and runs private AI on-premises, in INR, on a GST invoice.<\/p>\n<p>Engineered to remove the need to build a server room, it bundles the GPU servers, networking, integrated liquid (cdu) cooling, battery backup and DCIM monitoring into one validated unit \u2014 delivered, integrated and burned-in as a single SKU with one warranty and one support contract.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>64\u00d7 H200 \u00b7 9,024 GB HBM3e<\/strong> \u2014 real AI capacity for training and inference, anywhere.<\/li>\n<li><strong>Self-contained container<\/strong> \u2014 GPU servers, networking, integrated liquid (cdu) cooling, UPS, PDU, fire suppression and security in one unit.<\/li>\n<li><strong>No server room required<\/strong> \u2014 deploy with just site power and network.<\/li>\n<li><strong>32\u00d7 Intel Xeon 6 + 8 TB DDR5 ECC<\/strong> \u2014 host compute and memory matched to 64 GPUs.<\/li>\n<li><strong>960 TB NVMe NVMe + InfiniBand NDR 400G<\/strong> \u2014 local storage and a low-latency fabric for distributed jobs.<\/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 at the 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>Local training &amp; inference (primary):<\/strong> train, fine-tune and serve large models at the site over the InfiniBand fabric.<\/li>\n<li><strong>Large-model serving:<\/strong> serve 70B-class models across the enclosure.<\/li>\n<li><strong>Vision, multimodal &amp; agentic:<\/strong> production AI services co-located with operations.<\/li>\n<li><em>Engineering note:<\/em> the H200 (141 GB HBM3e, NVLink) handles training-grade workloads; the enclosure provides liquid cooling and power so a full GPU cluster runs where there is no data centre.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>This sits at the <strong>deploy-anywhere<\/strong> stage: a complete AI site in a container. With 9,024 GB HBM3e across 64 GPUs plus its own power and cooling, it is sized to <strong>sustain<\/strong> real local AI where there is no data centre \u2014 the owned alternative to backhauling to the cloud or building a server room.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Government &amp; defence<\/strong> \u2014 a deployable, air-gapped sovereign AI site.<\/li>\n<li><strong>Manufacturing &amp; energy<\/strong> \u2014 an AI site on the campus or at a remote\/rugged facility.<\/li>\n<li><strong>Telecom<\/strong> \u2014 regional AI capacity at the network edge.<\/li>\n<li><strong>Healthcare<\/strong> \u2014 an on-site clinical AI enclosure keeping PHI in the building.<\/li>\n<li><strong>Neocloud \/ providers<\/strong> \u2014 rapidly-deployable regional GPU capacity.<\/li>\n<li><strong>Disaster-recovery &amp; events<\/strong> \u2014 temporary, self-powered AI capacity.<\/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: 9,024 GB HBM3e across 64\u00d7 H200 in a self-cooled container is sized for local training and serving. <strong>Want certainty? Request a free benchmark of your models on this exact configuration before you buy<\/strong>; we&#8217;ll send back real performance plus the power and cooling envelope.<\/p>\n<h3>Series &amp; upgrade path<\/h3>\n<ul>\n<li><strong>DRACO<\/strong> (flagship micro-DC tier) \u2014 <em>this<\/em>.<\/li>\n<li><strong>Capacity ladder:<\/strong> half-rack pod \u2192 single-rack pod \u2192 dual-rack pod \u2192 containerized \u2192 modular data center.<\/li>\n<li><strong>When to step up:<\/strong> for more capacity, move to a larger containerized or modular RDP data center \u2014 talk to an architect about the site.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>A self-contained container removes both the cost of building a server room and the recurring cost of cloud: you own the compute, power and cooling as one 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>3-year TCO comparison<\/strong> including facility 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.<\/p>\n<h3>Power, cooling &amp; rack integration<\/h3>\n<p>A iso-container (containerized) with integrated liquid (cdu) cooling, integrated UPS, PDU and fire suppression \u2014 it provides its own thermal and power envelope; you supply site power and network. <em>(Exact power draw, BTU, battery runtime and footprint 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; lead time confirmed at quote.<\/li>\n<li><strong>Delivered as one unit:<\/strong> GPU servers, networking, cooling, UPS\/PDU, security, monitoring, and the pre-installed AI software stack.<\/li>\n<li><strong>Onsite warranty + AMC<\/strong> with pan-India coverage, site-level support and an RMA\/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 AI data centre in a container, made to order \u2014 <strong>talk to an RDP solution architect<\/strong>, size the capacity, cooling and power for your site, get a 3-year TCO, and <strong>benchmark your own models before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>64\u00d7 H200 \u00b7 32\u00d7 Intel Xeon 6 \u00b7 8 TB DDR5 ECC \u00b7 960 TB NVMe \u00b7 ISO-container (containerized) \u00b7 Integrated liquid (CDU) cooling + UPS<\/p>\n","protected":false},"featured_media":2124,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 64\u00d7 H200 Containerized Micro Data Center \u2014 9,024 GB HBM3e, self-contained AI site | RDP GPU Mart","rank_math_description":"Turnkey self-contained AI container data center \u2014 64\u00d7 H200 (9,024 GB HBM3e), integrated liquid (cdu) cooling + UPS. Deploy AI anywhere, no server room. Make-in-India, GST invoice. 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