{"id":12623,"date":"2026-08-18T16:21:11","date_gmt":"2026-08-18T16:21:11","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-b300-sxm-aidaptiv-ai-server\/"},"modified":"2026-08-18T23:24:42","modified_gmt":"2026-08-18T23:24:42","slug":"draco-8x-b300-sxm-aidaptiv-ai-server","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-b300-sxm-aidaptiv-ai-server\/","title":{"rendered":"DRACO 8\u00d7 B300 SXM aiDAPTIV+ AI Server"},"content":{"rendered":"<p><strong>Blackwell Ultra \u2014 the largest single node RDP builds.<\/strong> Eight NVIDIA B300 SXM GPUs in one NVSwitch domain with a 16&nbsp;TB aiDAPTIV+ cache, reaching the 671B class. For organisations whose model ambitions have outgrown every other rung but who still require the system to sit inside their own perimeter.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>8\u00d7 NVIDIA B300 (Blackwell Ultra) SXM<\/strong> \u2014 the highest-memory Blackwell node available.<\/li>\n<li><strong>NVSwitch all-to-all<\/strong> single memory domain for frontier-scale distributed training.<\/li>\n<li><strong>16 TB aiDAPTIV+ cache<\/strong> for resident multi-model estates and very long context.<\/li>\n<li><strong>Native FP4\/FP8<\/strong> \u2014 matched to how frontier models actually ship today.<\/li>\n<li><strong>2 TB DDR5 ECC<\/strong> host, <strong>8\u00d7 400G<\/strong> OSFP fabric, full BMC\/Redfish management.<\/li>\n<li>Clusters over InfiniBand or Spectrum-X Ethernet into multi-node training capacity.<\/li>\n<li>The <strong>on-premises answer<\/strong> to renting frontier capacity \u2014 sovereign and air-gap capable.<\/li>\n<\/ul>\n<h3>AI workload fit<\/h3>\n<ul>\n<li>Frontier-adjacent <strong>LLM training<\/strong> at 671B class.<\/li>\n<li>Full-parameter <strong>fine-tuning<\/strong> of very large models.<\/li>\n<li>Highest-throughput production <strong>inference<\/strong> at FP4\/FP8.<\/li>\n<li><strong>HPC &amp; AI<\/strong> convergence for scientific and industrial simulation.<\/li>\n<li><strong>Sovereign AI<\/strong> national programmes and strategic research.<\/li>\n<li>The building block of a multi-node <strong>AI factory<\/strong>.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>The top of the single-node ladder. Beyond this point the conversation moves from servers to rack-scale systems \u2014 GB300 NVL72 and multi-rack superclusters \u2014 where the unit of purchase is a rack, not a chassis. We will tell you plainly when that threshold has been crossed rather than sell another node. aiDAPTIV+ extends usable model memory onto high-endurance enterprise NVMe. At this tier it is not a substitute for HBM &mdash; it is what keeps additional large models and long-context state resident without adding nodes. It remains a <strong>capacity<\/strong> technology; sustained throughput is confirmed in a scoped proof-of-concept.<\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Public sector &amp; sovereign:<\/strong> strategic national AI capability on domestic infrastructure.<\/li>\n<li><strong>Neocloud:<\/strong> premium multi-tenant capacity at the top of the price ladder.<\/li>\n<li><strong>Research &amp; education:<\/strong> national-lab-class research compute.<\/li>\n<li><strong>Defence &amp; aerospace:<\/strong> classified frontier work behind an air gap.<\/li>\n<li><strong>BFSI &amp; HFT:<\/strong> the largest proprietary models with absolute data control.<\/li>\n<\/ul>\n<h3>Performance &amp; how to be sure<\/h3>\n<p>B300 Blackwell Ultra leads on memory capacity and low-precision throughput; as always the published peaks are NVIDIA&#8217;s ideal-condition figures, and real throughput depends on parallelism strategy, precision and interconnect topology. 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>8\u00d7 B200 SXM<\/strong> (405B) and <strong>4\u00d7 H200 SXM<\/strong>. Above: rack-scale <strong>GB300 NVL72<\/strong>, the <strong>GB300 NVL72 Supercluster<\/strong> (8-rack containerised), and AMD rack-scale alternatives. Beyond a single node, RDP quotes racks rather than chassis.<\/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, and the aiDAPTIV+ memory-management layer &mdash; PyTorch-compliant, <strong>no model-code changes<\/strong>. Standard serving stacks (vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo) supported.<\/p>\n<h3>Power, thermal &amp; acoustics<\/h3>\n<p>8U Blackwell Ultra chassis at the highest power density in the single-node range \u2014 <strong>liquid cooling is effectively mandatory<\/strong>. Facility power, cooling and floor-loading survey is included in the quotation process. <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 12\u201316 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 2TB DDR5 ECC \u00b7 16TB aiDAPTIV+ cache \u00b7 8U \u00b7 NVSwitch \u00b7 liquid-cooled<\/p>\n","protected":false},"featured_media":2022,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 B300 SXM aiDAPTIV+ AI Server \u2014 671B Blackwell Ultra | RDP GPU Mart","rank_math_description":"Eight NVIDIA B300 Blackwell Ultra SXM GPUs with NVSwitch and 16TB aiDAPTIV+ memory extension: 671B-class training and inference on-premises. Request a quote from RDP GPU Mart.","_hermes_jsonld":""},"product_brand":[],"product_cat":[18],"product_tag":[],"class_list":["post-12623","product","type-product","status-publish","has-post-thumbnail","product_cat-gpu-servers","pa_form-factor-8u","pa_gpu-model-nvidia-b300-sxm","pa_industry-bfsi-hft","pa_industry-defence-aerospace","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-blackwell-ultra-b300-training-node","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/12623","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=12623"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2022"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=12623"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=12623"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=12623"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=12623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}