The DRACO 8\u00d7 B200 SXM GPU Server is an Rack 8U HGX B200 rack server \u2014 the densest single-node Blackwell platform RDP builds. Eight NVIDIA B200 SXM (HGX B200) GPUs on one HGX baseboard deliver 1,440 GB HBM3e of HBM3e, linked by NVLink and NVSwitch into a single tightly-coupled accelerator with Blackwell FP4\/FP8 throughput \u2014 sized to train and serve trillion-parameter-class models on one node, behind your firewall, in INR, on a GST invoice.<\/p>\n
Engineered for organisations standing up serious AI capability on-premises, it pairs the eight GPUs with a 2\u00d7 Intel Xeon 6 host, 3 TB DDR5 ECC and 60 TB NVMe, with 8\u00d7 400G InfiniBand for scale-out, redundant power and liquid cooling \u2014 and full BMC\/IPMI for lights-out operation.<\/p>\n
This sits at the top of single-node train-and-serve<\/strong> capability. With 1,440 GB HBM3e of HBM3e on an NVLink+NVSwitch fabric and 8\u00d7 400G InfiniBand, it is sized to sustain<\/strong> frontier-class training and high-efficiency inference on-prem \u2014 the owned alternative to renting a Blackwell cloud node continuously.<\/p>\n We don’t publish inflated peak numbers. The honest picture: 1,440 GB HBM3e of HBM3e across eight NVSwitch-linked Blackwell GPUs is sized for trillion-parameter-class training and high-efficiency serving on-prem. Want certainty? Request a free benchmark of your model and dataset on this exact configuration before you buy<\/strong> \u2014 we’ll send back real tokens\/sec and training\/fine-tune timings for your workload.<\/p>\n For sustained frontier-class training, owning beats renting decisively: an always-on 8-GPU Blackwell cloud node is among the largest line items in any AI budget, and on-prem removes egress fees and keeps data and weights in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a 3-year TCO comparison<\/strong>.<\/p>\n Ships pre-configured to train and serve<\/strong>: NVIDIA driver, CUDA, cuDNN, NCCL, the InfiniBand stack, Docker and NVIDIA Container Toolkit, with PyTorch, vLLM \/ Triton \/ TensorRT-LLM on Ubuntu LTS. Optional Slurm\/Kubernetes, managed AI-stack and observability setup available.<\/p>\n An Rack 8U liquid-cooled node with high power draw \u2014 plan CDU\/manifold and facility water, dedicated power and InfiniBand cabling. (Exact PSU rating, BTU, flow, fabric cabling and rack-depth figures confirmed on the build sheet.)<\/em> BMC\/IPMI provides remote power, console and health monitoring.<\/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 flagship single-node Blackwell training server, made to order \u2014 talk to an RDP solution architect<\/strong>, get a configuration and 3-year TCO tailored to your workload, and benchmark your own model on it before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" 2\u00d7 Intel Xeon 6 \u00b7 3 TB DDR5 ECC \u00b7 60 TB NVMe \u00b7 8U rack<\/p>\n","protected":false},"featured_media":2254,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 B200 SXM GPU Server \u2014 2\u00d7 Intel Xeon 6, 3 TB DDR5 ECC, 1,440 GB HBM3e GPU | RDP GPU Mart","rank_math_description":"On-prem flagship HGX B200 server \u2014 8\u00d7 B200 SXM (1,440 GB HBM3e), 2\u00d7 Intel Xeon 6, 3 TB DDR5 ECC, 60 TB NVMe, NVLink+NVSwitch. Train trillion-parameter-class models on-prem. Make-in-India, GST invoice, pan-India onsite. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[18],"product_tag":[],"class_list":["post-76","product","type-product","status-publish","has-post-thumbnail","product_cat-gpu-servers","pa_form-factor-rack","pa_gpu-model-nvidia-b200-sxm","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-media-gaming-entertainment","pa_industry-neocloud","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","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-llm-training","pa_use-case-fine-tuning","pa_use-case-nlp-speech","pa_use-case-rag","pa_workload-fit-frontier-class-training-node","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/76","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=76"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2254"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=76"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=76"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=76"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=76"}],"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