{"id":12692,"date":"2026-08-18T22:14:42","date_gmt":"2026-08-18T22:14:42","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-h200-nvl-ai-server\/"},"modified":"2026-08-18T23:24:42","modified_gmt":"2026-08-18T23:24:42","slug":"draco-8x-h200-nvl-ai-server","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-h200-nvl-ai-server\/","title":{"rendered":"DRACO 8\u00d7 H200 NVL AI Server"},"content":{"rendered":"<p><strong>1.1 TB of HBM3e, eight GPUs, NVLink-bridged &mdash; and still air-cooled.<\/strong> Eight NVIDIA H200 NVL cards arranged as two 4-way NVLink domains in an 8U chassis: the maximum HBM capacity RDP can deliver without committing your facility to liquid cooling.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>8\u00d7 NVIDIA H200 NVL 141GB HBM3e<\/strong> \u2014 <strong>1.128 TB<\/strong> of high-bandwidth memory.<\/li>\n<li><strong>2\u00d7 4-way NVLink domains<\/strong> \u2014 high GPU-to-GPU bandwidth within each quad.<\/li>\n<li><strong>Air-cooled 8U<\/strong> \u2014 the density ceiling before liquid cooling becomes mandatory.<\/li>\n<li><strong>1 TB DDR5 ECC<\/strong> dual-Xeon host; <strong>4\u00d7 100GbE<\/strong> plus BMC\/Redfish.<\/li>\n<li><strong>Individually serviceable PCIe cards<\/strong> \u2014 no whole-baseboard RMA event.<\/li>\n<li>Scales out over Ethernet or InfiniBand into a multi-node cluster.<\/li>\n<li>Fully <strong>on-premises<\/strong>, DPDP-aligned, air-gap capable.<\/li>\n<\/ul>\n<h3>AI workload fit<\/h3>\n<ul>\n<li><strong>LLM training<\/strong> and full fine-tuning at 180B\u2013405B class.<\/li>\n<li>High-concurrency, long-context <strong>inference<\/strong> services.<\/li>\n<li>Enterprise-scale <strong>RAG<\/strong> with large resident indices.<\/li>\n<li><strong>HPC &amp; AI<\/strong> convergence needing large memory per node.<\/li>\n<li><strong>Agentic AI<\/strong> platforms serving many concurrent sessions.<\/li>\n<li><strong>Sovereign AI<\/strong> where facility constraints rule out SXM.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>The largest air-cooled HBM node in the range. H200 NVL is the <strong>PCIe<\/strong> form of H200, bridged in pairs or quads by <strong>NVLink<\/strong>. It matters because it delivers 141&nbsp;GB of HBM3e per GPU and NVLink-class GPU-to-GPU bandwidth into an <strong>air-cooled, standard-rack<\/strong> chassis &mdash; no SXM baseboard, no NVSwitch, no mandatory liquid loop. For a great many Indian server rooms that is the difference between a system that can be installed and one that cannot. Two 4-way NVLink domains is not the same as an 8-GPU NVSwitch all-to-all fabric \u2014 for single large training jobs an SXM node will win, and we will say so. For memory-bound inference, long context and multi-model serving, this configuration is frequently the better and far more deployable buy.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Public sector &amp; sovereign:<\/strong> maximum on-soil capability within existing facilities.<\/li>\n<li><strong>Neocloud:<\/strong> dense air-cooled capacity where DC water is unavailable or costly.<\/li>\n<li><strong>BFSI &amp; HFT:<\/strong> large-model training plus production inference in one node.<\/li>\n<li><strong>Healthcare:<\/strong> hospital-group AI platforms with strict data residency.<\/li>\n<li><strong>Research &amp; education:<\/strong> institutional compute without a facility upgrade programme.<\/li>\n<\/ul>\n<h3>Performance &amp; how to be sure<\/h3>\n<p>1.128 TB of HBM3e across eight cards makes this a memory-capacity leader among air-cooled nodes; interconnect topology (two quads, not one octet) is the trade, and it is the right trade for inference-led and memory-bound workloads. Rather than quote a tokens\/sec figure that will not match your workload, RDP offers a <strong>&ldquo;benchmark your model&rdquo;<\/strong> session: bring the model, precision and context length you actually intend to run, and we will validate it on this exact configuration before you commit.<\/p>\n<h3>Series &amp; upgrade path<\/h3>\n<p>Below: <strong>4\u00d7 H200 NVL<\/strong>. Beside: the air-cooled <strong>8\u00d7 RTX PRO 6000<\/strong> (aiDAPTIV+ capacity play). Above: <strong>8\u00d7 B200\/B300 SXM<\/strong> with NVSwitch for single-job training scale, then rack-scale <strong>GB300 NVL72<\/strong> and superclusters.<\/p>\n<h3>On-prem vs cloud (TCO)<\/h3>\n<p>For sustained daily AI work this configuration removes per-GPU-hour billing, queueing for scarce instances, and egress charges on your own data &mdash; and keeps everything on-premises for DPDP and data-residency obligations. Cloud still wins for burst capacity and one-off very large training runs; on-prem wins on sustained utilisation, control and predictable INR capital cost. We model the crossover with your actual usage rather than assert it.<\/p>\n<h3>Software &amp; day-one readiness<\/h3>\n<p>Ships workload-ready: Ubuntu LTS or RHEL, NVIDIA driver + CUDA + cuDNN, container runtime, Kubernetes\/Slurm integration. Standard serving stacks (vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo) supported, and NVIDIA AI Enterprise licensing can be bundled on request.<\/p>\n<h3>Power, thermal &amp; acoustics<\/h3>\n<p>8U air-cooled chassis with redundant PSUs at high rack density. Standard PDU feeds, no CDU required, but a rack-level airflow and power survey is strongly recommended before installation. <em>Exact wattage, BTU and dB(A) figures come from RDP bench measurement rather than estimates &mdash; ask for the site-readiness sheet with your quote.<\/em><\/p>\n<h3>Deployment, warranty &amp; support<\/h3>\n<p>Built to order by RDP Technologies. Supplied with GST invoice (HSN 8471), pan-India onsite support, and availability through GeM for public-sector procurement. Built to order \u2014 typically 10\u201312 weeks, subject to GPU allocation.<\/p>\n<h3>Why RDP<\/h3>\n<p>RDP Technologies is a Make-in-India OEM with 14+ years and 300,000+ units shipped, supplying AI infrastructure from desk-side systems to rack-scale AI factories &mdash; with predictable INR pricing, GST invoicing and pan-India onsite service.<\/p>\n<h3>Buy with confidence<\/h3>\n<p>Use <strong>Request a Quote<\/strong> to reach an RDP solution architect for sizing, a benchmark-your-model session, financing options and a delivery plan. No obligation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dual Xeon \u00b7 1TB DDR5 ECC \u00b7 2\u00d7 4-way NVLink \u00b7 8U rack \u00b7 air-cooled<\/p>\n","protected":false},"featured_media":2027,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 H200 NVL AI Server \u2014 1.1TB HBM3e, NVLink, Air-Cooled | RDP GPU Mart","rank_math_description":"Eight NVIDIA H200 NVL PCIe GPUs, 1.1TB HBM3e and dual 4-way NVLink domains in an air-cooled 8U: 180B\u2013405B on-premises AI. Request a quote from RDP GPU Mart.","_hermes_jsonld":""},"product_brand":[],"product_cat":[18],"product_tag":[],"class_list":["post-12692","product","type-product","status-publish","has-post-thumbnail","product_cat-gpu-servers","pa_form-factor-8u","pa_gpu-model-nvidia-h200-nvl","pa_industry-bfsi-hft","pa_industry-healthcare-life-sciences","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-fine-tuning","pa_use-case-generative-ai","pa_use-case-hpc-ai","pa_use-case-inference","pa_use-case-llm-training","pa_use-case-rag","pa_use-case-sovereign-ai","pa_workload-fit-dense-h200-nvl-inference-node","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/12692","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=12692"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2027"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=12692"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=12692"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=12692"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=12692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}