The DRACO 8\u00d7 B300 SXM GPU Server is RDP’s flagship single-node AI server \u2014 an Rack 10U HGX B300 (Blackwell Ultra) platform with eight NVIDIA B300 SXM (HGX B300, Blackwell Ultra) GPUs delivering 2,304 GB HBM3e of HBM3e on one NVLink+NVSwitch baseboard. It is the most GPU memory and the highest single-node training and inference capacity RDP builds, sized for trillion-parameter-class frontier models \u2014 on-premises, behind your firewall, in INR, on a GST invoice.<\/p>\n
Engineered for organisations building national- or enterprise-scale AI capability in-house, it pairs the eight Blackwell Ultra GPUs with a 2\u00d7 Intel Xeon 6 host, 4 TB DDR5 ECC and 120 TB NVMe, with 8\u00d7 XDR InfiniBand for scale-out, liquid cooling, redundant power and full BMC\/IPMI for lights-out operation.<\/p>\n
This is the top of single-node train-and-serve<\/strong> capability. With 2,304 GB HBM3e of HBM3e on an NVLink+NVSwitch fabric and 8\u00d7 XDR InfiniBand, it is sized to sustain<\/strong> frontier-class training and the highest-efficiency inference on-prem \u2014 the owned alternative to renting the largest Blackwell cloud nodes continuously.<\/p>\n We don’t publish inflated peak numbers. The honest picture: 2,304 GB HBM3e of HBM3e across eight NVSwitch-linked Blackwell Ultra GPUs is sized for trillion-parameter-class training and the highest-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 flagship Blackwell Ultra 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 10U liquid-cooled node with very high power draw \u2014 plan CDU\/manifold and facility water, dedicated power and XDR 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 RDP’s flagship single-node AI 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 4 TB DDR5 ECC \u00b7 120 TB NVMe \u00b7 10U rack<\/p>\n","protected":false},"featured_media":2255,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 B300 SXM GPU Server \u2014 2\u00d7 Intel Xeon 6, 4 TB DDR5 ECC, 2,304 GB HBM3e GPU | RDP GPU Mart","rank_math_description":"RDP flagship HGX B300 server \u2014 8\u00d7 B300 SXM Blackwell Ultra (2,304 GB HBM3e), 2\u00d7 Intel Xeon 6, 4 TB DDR5 ECC, 120 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-1838","product","type-product","status-publish","has-post-thumbnail","product_cat-gpu-servers","pa_form-factor-rack","pa_gpu-model-nvidia-b300-sxm","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-flagship-frontier-ai-training-node","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/1838","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=1838"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2255"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=1838"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=1838"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=1838"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=1838"}],"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