The DRACO 32\u00d7 H200 Micro Data Center Pod is a turnkey, self-contained AI data centre \u2014 32\u00d7 NVIDIA H200 SXM5 (4,512 GB HBM3e) pre-integrated with integrated liquid (cdu) cooling, UPS, power distribution, physical security and remote monitoring in a sealed enclosure. 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
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
This sits at the deploy-anywhere<\/strong> stage: a complete AI site in a box. With 4,512 GB HBM3e across 32 GPUs plus its own power and cooling, it is sized to 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 We don’t publish inflated peak numbers. The honest picture: 4,512 GB HBM3e across 32\u00d7 H200 in a self-cooled enclosure is sized for local training and serving. Want certainty? Request a free benchmark of your models on this exact configuration before you buy<\/strong>; we’ll send back real performance plus the power and cooling envelope.<\/p>\n A self-contained pod 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 3-year TCO comparison<\/strong> including facility savings.<\/p>\n Ships 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 A dual-rack self-contained enclosure 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. (Exact power draw, BTU, battery runtime and footprint confirmed in the design package.)<\/em> Full DCIM and out-of-band management.<\/p>\n 14 years of Make-in-India infrastructure and 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 This is a turnkey AI data centre in an enclosure, made to order \u2014 talk to an RDP solution architect<\/strong>, size the capacity, cooling and power for your site, get a 3-year TCO, and benchmark your own models before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" 32\u00d7 H200 \u00b7 16\u00d7 Intel Xeon 6 \u00b7 4 TB DDR5 ECC \u00b7 480 TB NVMe \u00b7 Dual-rack self-contained enclosure \u00b7 Integrated liquid (CDU) cooling + UPS<\/p>\n","protected":false},"featured_media":2266,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 32\u00d7 H200 Micro Data Center Pod \u2014 4,512 GB HBM3e, self-contained AI site | RDP GPU Mart","rank_math_description":"Turnkey self-contained AI data center \u2014 32\u00d7 H200 (4,512 GB HBM3e), integrated liquid (cdu) cooling + UPS. Deploy AI anywhere, no server room. Make-in-India, GST invoice. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[29],"product_tag":[83],"class_list":["post-140","product","type-product","status-publish","has-post-thumbnail","product_cat-edge-micro-data-center","product_tag-ready-to-buy","pa_form-factor-rack","pa_gpu-model-nvidia-h200-sxm5","pa_industry-automotive-mobility","pa_industry-bfsi-hft","pa_industry-defence-aerospace","pa_industry-enterprise-gccs","pa_industry-healthcare-life-sciences","pa_industry-manufacturing-industrial","pa_industry-public-sector-sovereign-ai","pa_industry-retail-ecommerce","pa_industry-telecom-5g","pa_series-draco","pa_use-case-agentic-ai","pa_use-case-computer-vision","pa_use-case-generative-ai","pa_use-case-inference","pa_use-case-fine-tuning","pa_use-case-nlp-speech","pa_use-case-rag","pa_workload-fit-self-contained-ai-micro-data-center","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/comments?post=140"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2266"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=140"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=140"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=140"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Industry use cases<\/h3>\n
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Performance \u2014 and how to be sure<\/h3>\n
Series & upgrade path<\/h3>\n
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On-prem vs cloud \u2014 the TCO case<\/h3>\n
Software & day-one readiness<\/h3>\n
Power, cooling & rack integration<\/h3>\n
Deployment, warranty & support<\/h3>\n
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Why RDP<\/h3>\n
Buy with confidence<\/h3>\n