The DRACO 8\u00d7 B300 HGX GPU Server is a factory-built, ready-to-deploy 8-GPU AI server \u2014 8\u00d7 NVIDIA B300 (HGX, Blackwell Ultra), 2\u00d7 Intel Xeon 6 6767P (64-core, 2.4 GHz), 4 TB DDR5-6400 (32\u00d7 128 GB RDIMM) \u2014 assembled and validated for frontier-scale LLM training and high-throughput inference. It is a specific, in-stock configuration RDP delivers turnkey in India: landed, GST-invoiced, installed and supported, so a CIO gets a running AI node, not a procurement project.<\/p>\n
Built on the NVIDIA HGX B300 8-GPU SXM baseboard with all 8 GPUs tightly coupled over NVLink\/NVSwitch, it is the class of machine that trains and serves the largest models on-prem \u2014 with data sovereignty and no per-hour cloud meter.<\/p>\n
An 8\u00d7 B300 Blackwell-Ultra node carries ~2.3 TB of HBM3e and 800G XDR fabric \u2014 next-gen capacity for the largest training and reasoning workloads. A single 8-GPU node is the unit of scale for on-prem AI: cluster several over the 800G InfiniBand XDR fabric to build a pod, or run one as a self-contained training\/inference engine. We do not publish fabricated tokens\/sec \u2014 request a POC for your model and we will benchmark it.<\/em><\/p>\n Positioned on real, coupled HBM capacity and fabric bandwidth rather than headline FLOPS. Want certainty? Request a POC \/ benchmark on your own model and dataset<\/strong> before you commit \u2014 we will show real throughput on this exact configuration. No fabricated benchmark numbers.<\/em><\/p>\n For sustained training\/inference, an owned 8-GPU node beats per-hour cloud within quarters and keeps models and data in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a 3-year TCO vs cloud<\/strong> for your utilisation.<\/p>\n Delivered validated for the CUDA\/NVIDIA AI stack \u2014 drivers, CUDA, NCCL, containers, and orchestration (Slurm\/Kubernetes); optional NVIDIA AI Enterprise and an RDP KV-cache \/ extended-memory tier. Ships racked, burned-in and networked. (Exact software stack confirmed at handover.)<\/em><\/p>\n 8U rack with air-cooled \u00b7 12\u00d7 3000W Titanium PSU (6+6 redundant); datacenter-grade airflow and power redundancy. Plan for a high-density rack (three-phase power, adequate cooling). Site power\/thermal survey included in deployment.<\/em><\/p>\n 14 years of Make-in-India infrastructure and 300,000+ devices shipped<\/strong>. Indian OEM & integrator \u2014 INR pricing, GST tax invoice, pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready delivery. We import, land, integrate and support so you don’t have to.<\/p>\n This is a specific, in-stock 8-GPU AI server at a transparent INR price \u2014 add to cart or talk to an RDP solution architect<\/strong>. Limited availability (made-to-order (vendor 5-wk + delivery)); confirm your slot early.<\/p>\n","protected":false},"excerpt":{"rendered":" 2\u00d7 Intel Xeon 6 6767P (64-core, 2.4 GHz) \u00b7 4 TB DDR5-6400 (32\u00d7 128 GB RDIMM) \u00b7 2\u00d7 1.92 TB M.2 + 8\u00d7 3.84 TB U.2 NVMe (PCIe 4.0) \u00b7 8U rack<\/p>\n","protected":false},"featured_media":2301,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 B300 HGX GPU Server \u2014 2\u00d7 Intel Xeon 6 6767P (64-core, 2.4 GHz), 2,304 GB HBM3e (8\u00d7 288 GB) | RDP GPU Mart","rank_math_description":"In-stock 8\u00d7 NVIDIA B300 (HGX, Blackwell Ultra) AI server: 2\u00d7 Intel Xeon 6 6767P (64-core, 2.4 GHz), 4 TB DDR5-6400 (32\u00d7 128 GB RDIMM). Made-in-India delivery by RDP, INR price + GST, pan-India support, 8 weeks lead.","_hermes_jsonld":""},"product_brand":[],"product_cat":[18],"product_tag":[],"class_list":["post-2152","product","type-product","status-publish","has-post-thumbnail","product_cat-gpu-servers","pa_form-factor-8u","pa_gpu-model-nvidia-b300-sxm","pa_series-draco","pa_use-case-agentic-ai","pa_use-case-generative-ai","pa_use-case-hpc-ai","pa_use-case-inference","pa_use-case-llm-training","pa_workload-fit-large-scale-llm-training-inference","first","onbackorder","featured","taxable","shipping-taxable","purchasable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/2152","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=2152"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2301"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=2152"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=2152"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=2152"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=2152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Industry use cases<\/h3>\n
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Performance & 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, thermal & acoustics<\/h3>\n
Deployment, warranty & support<\/h3>\n
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Why RDP<\/h3>\n
Buy with confidence<\/h3>\n