The DRACO GB200 NVL72 Rack-Scale AI System is a turnkey, liquid-cooled rack-scale AI system built on NVIDIA’s GB200 NVL72 platform \u2014 72 Grace-Blackwell GPUs joined in a single NVLink domain with 13,824 GB HBM3e of aggregate HBM3e. The whole rack behaves as one enormous accelerator, sized to train and serve frontier-scale models on-premises \u2014 in INR, on a GST invoice.<\/p>\n
Engineered for national programmes, neoclouds and large enterprises building foundation-model capability in-house, it arrives racked, cabled, liquid-cooled and validated as a single SKU with one warranty and one support contract \u2014 RDP scopes the NVLink domain, InfiniBand spine, storage, power and cooling as one system so you don’t carry the integration risk.<\/p>\n
This sits at the top of rack-scale train-and-serve<\/strong>: a complete AI factory in a rack. With 13,824 GB HBM3e of HBM3e in a unified NVLink domain, it is sized to sustain<\/strong> frontier-scale training and serving on-prem \u2014 the sovereign, owned alternative to renting the largest cloud systems continuously.<\/p>\n We don’t publish inflated peak numbers. The honest picture: 13,824 GB HBM3e of HBM3e across 72 Grace-Blackwell GPUs in a unified NVLink domain is sized for Trillion-scale training and serving. Want certainty? Request a free benchmark of your model and dataset \u2014 including a scaling test \u2014 on this exact configuration before you buy<\/strong>; we’ll send back real tokens\/sec, scaling efficiency and timings.<\/p>\n At frontier scale, owning is a strategic decision: an always-on cloud system of this size dominates any AI budget, and on-prem removes egress fees and keeps sovereign data and weights in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a multi-year TCO and financing comparison<\/strong>.<\/p>\n Ships pre-integrated and validated<\/strong>: NVIDIA driver, CUDA, cuDNN, NCCL, the InfiniBand stack, Docker and NVIDIA Container Toolkit, with Slurm or Kubernetes, PyTorch and vLLM \/ Triton \/ TensorRT-LLM on Ubuntu LTS. Optional managed operations, scheduler and observability for the full system.<\/p>\n A single-rack (nvlink domain) liquid-cooled system with very high power density \u2014 RDP scopes facility power, CDU\/manifold and water, the InfiniBand spine and floor layout as part of the design. (Exact PDU ratings, BTU, flow and facility figures confirmed on the build sheet.)<\/em> Full out-of-band management across the system.<\/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 frontier-scale AI factory, made to order \u2014 talk to an RDP solution architect<\/strong>, size the NVL domain, spine and facility, get a multi-year TCO and financing plan, and benchmark your own model with a scaling test before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" GB200 NVL72 \u00b7 36\u00d7 NVIDIA Grace (ARM) \u00b7 Grace LPDDR5X coherent memory \u00b7 480 TB NVMe \u00b7 Single-Rack (NVLink domain) \u00b7 liquid-cooled<\/p>\n","protected":false},"featured_media":1914,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO GB200 NVL72 Rack-Scale AI System \u2014 13,824 GB HBM3e HBM, unified NVLink | RDP GPU Mart","rank_math_description":"Turnkey single-rack (nvlink domain) AI factory \u2014 GB200 NVL72 (13,824 GB HBM3e), unified NVLink domain, Grace-Blackwell, liquid-cooled. Train frontier-scale models on-prem. Make-in-India, GST invoice. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[17],"product_tag":[],"class_list":["post-69","product","type-product","status-publish","has-post-thumbnail","product_cat-rack-scale-ai-systems","pa_form-factor-rack","pa_gpu-model-nvidia-gb200-grace-blackwell","pa_industry-media-gaming-entertainment","pa_industry-neocloud","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","pa_series-draco","pa_use-case-agentic-ai","pa_use-case-computer-vision","pa_use-case-generative-ai","pa_use-case-hpc-ai","pa_use-case-inference","pa_use-case-llm-training","pa_use-case-fine-tuning","pa_use-case-nlp-speech","pa_use-case-rag","pa_use-case-sovereign-ai","pa_workload-fit-72-gpu-unified-nvlink-training-rack","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/69","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=69"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1914"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=69"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=69"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=69"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=69"}],"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