{"id":12622,"date":"2026-08-18T16:21:10","date_gmt":"2026-08-18T16:21:10","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-b200-sxm-aidaptiv-ai-server\/"},"modified":"2026-08-18T23:24:41","modified_gmt":"2026-08-18T23:24:41","slug":"draco-8x-b200-sxm-aidaptiv-ai-server","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-8x-b200-sxm-aidaptiv-ai-server\/","title":{"rendered":"DRACO 8\u00d7 B200 SXM aiDAPTIV+ AI Server"},"content":{"rendered":"<p><strong>Blackwell, eight-wide, on your own floor.<\/strong> Eight NVIDIA B200 SXM GPUs joined by NVSwitch &mdash; 1.5&nbsp;TB of HBM3e in a single memory domain &mdash; with a 16&nbsp;TB aiDAPTIV+ cache. This is the node organisations buy when 405B-class training has to happen on-premises rather than on rented capacity.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>8\u00d7 NVIDIA B200 SXM 192GB HBM3e<\/strong> \u2014 <strong>1.5 TB<\/strong> in one NVSwitch domain.<\/li>\n<li><strong>Native FP8<\/strong> Blackwell tensor cores \u2014 the precision most frontier models now ship in.<\/li>\n<li><strong>NVSwitch all-to-all<\/strong> interconnect for genuine large-scale distributed training.<\/li>\n<li><strong>16 TB aiDAPTIV+ cache<\/strong> keeps additional models and long-context state resident.<\/li>\n<li><strong>2 TB DDR5 ECC<\/strong> dual-Xeon host; <strong>8\u00d7 400G<\/strong> OSFP for cluster scale-out.<\/li>\n<li>Scales out: several nodes form a training cluster over InfiniBand or Spectrum-X Ethernet.<\/li>\n<li>Sovereign-capable: <strong>full training on-soil<\/strong>, DPDP-aligned, air-gap possible.<\/li>\n<\/ul>\n<h3>AI workload fit<\/h3>\n<ul>\n<li>Large-scale <strong>LLM training<\/strong> and full fine-tuning at 405B class.<\/li>\n<li>High-throughput <strong>inference<\/strong> with FP8 for production services.<\/li>\n<li><strong>Model fine-tuning<\/strong> across the full parameter set, not only adapters.<\/li>\n<li><strong>HPC &amp; AI<\/strong> converged simulation and modelling.<\/li>\n<li><strong>Sovereign AI<\/strong> national and institutional programmes.<\/li>\n<li><strong>Agentic AI<\/strong> and <strong>generative AI<\/strong> at scale.<\/li>\n<\/ul>\n<h3>AI workload positioning<\/h3>\n<p>The workhorse of serious on-premises AI. Eight Blackwell GPUs in one NVSwitch domain is the standard unit of frontier-adjacent capability, and the unit that scales cleanly into a multi-node cluster. 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> national-scale model training held entirely on-soil.<\/li>\n<li><strong>Neocloud:<\/strong> the standard sellable unit of GPU capacity for multi-tenant services.<\/li>\n<li><strong>Research &amp; education:<\/strong> institutional frontier-adjacent research capability.<\/li>\n<li><strong>BFSI &amp; HFT:<\/strong> proprietary large-model training with strict data control.<\/li>\n<li><strong>Defence &amp; aerospace:<\/strong> air-gapped training on classified corpora.<\/li>\n<\/ul>\n<h3>Performance &amp; how to be sure<\/h3>\n<p>B200 with native FP8 and NVSwitch is a training-class node; published peak figures are NVIDIA&#8217;s and describe ideal conditions, so we size against your actual parallelism strategy and dataset. 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 SXM<\/strong> (entry NVLink) and the air-cooled RTX PRO servers. Above: <strong>8\u00d7 B300 SXM<\/strong>, then rack-scale <strong>GB300 NVL72<\/strong> and multi-rack superclusters. Multiple B200 nodes cluster over InfiniBand\/Spectrum-X for larger training runs.<\/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 SXM chassis at high power density with redundant PSUs; <strong>liquid-ready<\/strong> and strongly recommended with rear-door or direct-liquid cooling. A facility power and thermal survey is part of the quote, not an afterthought. <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\u201314 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-ready<\/p>\n","protected":false},"featured_media":2023,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 8\u00d7 B200 SXM aiDAPTIV+ AI Server \u2014 405B Training On-Prem | RDP GPU Mart","rank_math_description":"Eight NVIDIA B200 SXM GPUs, 1.5TB HBM3e, NVSwitch and 16TB aiDAPTIV+ memory extension: 405B-class training and inference on-premises in India. 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