{"id":12706,"date":"2026-08-18T22:38:59","date_gmt":"2026-08-18T22:38:59","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/draco-orv3-140kw-nvl72-class-ai-rack\/"},"modified":"2026-08-18T23:24:41","modified_gmt":"2026-08-18T23:24:41","slug":"draco-orv3-140kw-nvl72-class-ai-rack","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-orv3-140kw-nvl72-class-ai-rack\/","title":{"rendered":"DRACO ORv3 140 kW NVL72-Class AI Rack"},"content":{"rendered":"

The rack an NVL72-class system actually needs.<\/strong> A GB300 NVL72 or a 72-GPU rack-scale AI system draws roughly 135–142 kW sustained<\/strong> — well past what a 19-inch EIA rack on legacy AC distribution can feed or cool. This is the 21-inch OCP Open Rack v3<\/strong> frame, 48 V DC busbar and direct-to-chip liquid loop that a rack-scale AI system is designed to drop into.<\/p>\n

Key highlights<\/h3>\n
    \n
  • 21\u2033 OCP Open Rack v3 (ORv3)<\/strong> \u2014 the open standard NVL72-class racks are built on.<\/li>\n
  • 140 kW rack capacity<\/strong> \u2014 sized for a full rack-scale AI system, not retrofitted to one.<\/li>\n
  • 48 V DC busbar<\/strong> with blind-mate connectors \u2014 no per-server power cords, no stranded power.<\/li>\n
  • 4\u00d7 30 kW power shelves, N+1<\/strong> \u2014 the ORv3 shelf architecture, AC\u219248V DC rectification.<\/li>\n
  • 480 V 3-phase input<\/strong> {VERIFY per site} with 2N upstream feed options.<\/li>\n
  • Direct-to-chip liquid<\/strong> ready \u2014 manifolds, blind-mate quick-disconnects, in-row CDU.<\/li>\n
  • Integrated, populated and commissioned in India by RDP<\/strong>.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • Housing a GB300 NVL72<\/strong> or equivalent rack-scale AI system.<\/li>\n
    • Housing a 72\u00d7 MI455X<\/strong> or other 70-plus-GPU open-fabric rack.<\/li>\n
    • LLM training<\/strong> and inference<\/strong> at rack scale.<\/li>\n
    • Sovereign AI<\/strong> facility builds on open, non-proprietary rack standards.<\/li>\n
    • HPC & AI<\/strong> datacenters moving from 19\u2033 EIA to OCP.<\/li>\n
    • AI-factory pods where every rack is identical and serviceable.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      Most Indian datacenters are 19-inch EIA at 10–20 kW per rack. A rack-scale AI system needs roughly seven times that in a different physical standard, and the mismatch is where AI projects stall — the compute arrives and the facility cannot take it. Open Rack v3 (ORv3)<\/strong> is the Open Compute Project’s high-density rack standard: a 21-inch<\/strong> rack aperture instead of the legacy 19-inch EIA, a 48 V DC busbar<\/strong> running the full height of the rack, and blind-mate<\/strong> power connectors so servers slide in without individual power cords. Capacity is measured in OU<\/strong> (OpenU, 48 mm) rather than RU. The 48 V DC architecture raises usable power density substantially over legacy per-server AC distribution, which is what makes 100 kW-plus racks practical at all. RDP sells this as the matched pair to the compute, and will tell you plainly if your building is not ready for it. A facility survey is mandatory before order.<\/strong><\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Neocloud:<\/strong> standardised, repeatable ORv3 rack units across a growing fleet.<\/li>\n
      • Public sector & sovereign:<\/strong> national AI facilities built on open standards, not one vendor’s rack.<\/li>\n
      • Enterprise & GCCs:<\/strong> the first rack-scale AI deployment in an existing datacenter.<\/li>\n
      • Research & education:<\/strong> housing a national or institutional rack-scale system.<\/li>\n
      • Telecom:<\/strong> AI capacity inside existing central-office and edge facilities.<\/li>\n<\/ul>\n

        Performance & how to be sure<\/h3>\n

        The figure that governs everything here is kW per rack<\/strong>: 140 kW is roughly 7\u00d7 a conventional 20 kW enterprise rack, and it is why liquid cooling and a 48 V busbar stop being optional. Rather than quote a tokens\/sec figure that will not match your workload, RDP offers a “benchmark your model”<\/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

        Series & upgrade path<\/h3>\n

        Below: the DRACO 48U 100 kW<\/strong> 19\u2033 EIA liquid-ready rack for dense-but-not-rack-scale builds. Above: the DRACO ORv3 480 kW AI Factory Rack<\/strong>. Pairs with RDP in-row CDUs<\/strong> and the DRACO 250 kW Power & UPS Block<\/strong>, and with Rack Integration & Deployment<\/strong> services.<\/p>\n

        On-prem vs cloud (TCO)<\/h3>\n

        For sustained daily AI work this configuration removes per-GPU-hour billing, queueing for scarce instances, and egress charges on your own data — 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

        Software & day-one readiness<\/h3>\n

        Rack-level monitoring covers busbar current, per-shelf load, coolant inlet\/outlet temperature and leak detection, exported to your DCIM or to RDP’s managed monitoring. Power-shelf and CDU telemetry is available over Redfish\/OpenBMC-compatible interfaces.<\/p>\n

        Power, thermal & acoustics<\/h3>\n

        480 V 3-phase input to 4\u00d7 30 kW ORv3 rectifier shelves (N+1) feeding a 48 V DC busbar. Direct-to-chip liquid loop with rack manifold and blind-mate quick-disconnects; residual air load handled by rear-door HX or room cooling. Floor loading, water quality, flow rate and upstream switchgear are all surveyed before order — this is a facility project. Exact wattage, BTU and dB(A) figures come from RDP bench measurement rather than estimates — ask for the site-readiness sheet with your quote.<\/em><\/p>\n

        Deployment, warranty & support<\/h3>\n

        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 including facility survey and integration.<\/p>\n

        Why RDP<\/h3>\n

        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 — with predictable INR pricing, GST invoicing and pan-India onsite service.<\/p>\n

        Buy with confidence<\/h3>\n

        Use 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":"

        21\u2033 OCP ORv3 \u00b7 140 kW \u00b7 48V DC busbar \u00b7 4\u00d7 30 kW shelves (N+1) \u00b7 direct-to-chip liquid<\/p>\n","protected":false},"featured_media":2037,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO ORv3 140 kW AI Rack \u2014 21\u2033 OCP, 48V Busbar, NVL72-Class | RDP GPU Mart","rank_math_description":"RDP DRACO Open Rack v3 (ORv3) 140 kW AI rack: 21-inch OCP aperture, 48V DC busbar, 4\u00d7 30 kW power shelves N+1, direct-to-chip liquid cooling. Sized for NVL72-class systems. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[28],"product_tag":[],"class_list":["post-12706","product","type-product","status-publish","has-post-thumbnail","product_cat-datacenter-infrastructure","pa_form-factor-rack","pa_industry-enterprise-gccs","pa_industry-neocloud","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","pa_industry-telecom-5g","pa_series-draco","pa_use-case-hpc-ai","pa_use-case-inference","pa_use-case-llm-training","pa_use-case-sovereign-ai","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/12706","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=12706"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2037"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=12706"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=12706"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=12706"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=12706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}