{"id":12707,"date":"2026-08-18T22:39:00","date_gmt":"2026-08-18T22:39:00","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/draco-orv3-480kw-ai-factory-rack\/"},"modified":"2026-08-18T23:24:41","modified_gmt":"2026-08-18T23:24:41","slug":"draco-orv3-480kw-ai-factory-rack","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-orv3-480kw-ai-factory-rack\/","title":{"rendered":"DRACO ORv3 480 kW AI Factory Rack"},"content":{"rendered":"

The density class AI factories are being built at.<\/strong> Engineered to the ORv3 480 kW rack class<\/strong> with fanless direct-to-chip liquid cooling and near-total heat capture to water — the architecture that lets a single rack do what a row used to, and lets the building reuse the heat instead of fighting it.<\/p>\n

Key highlights<\/h3>\n
    \n
  • Up to 480 kW per rack<\/strong> {VERIFY final config} \u2014 the current top of the ORv3 density class.<\/li>\n
  • 21\u2033 OCP Open Rack v3<\/strong>, ~48 OU, 48 V DC busbar with blind-mate power.<\/li>\n
  • Fanless direct-to-chip<\/strong> liquid \u2014 approaching 100% heat capture<\/strong> to the water loop.<\/li>\n
  • Removing server fans removes fan power<\/strong> outright \u2014 a real, measurable efficiency win.<\/li>\n
  • Heat reuse ready<\/strong> \u2014 warm-water return usable for district or process heat.<\/li>\n
  • Multi-rack pods with shared facility CDU and coordinated power smoothing<\/strong> for AI load transients.<\/li>\n
  • Designed, integrated and commissioned in India by RDP<\/strong>.<\/li>\n<\/ul>\n

    AI workload fit<\/h3>\n
      \n
    • AI factory<\/strong> and supercluster builds at multi-megawatt scale.<\/li>\n
    • Sovereign AI<\/strong> national datacenter programmes.<\/li>\n
    • LLM training<\/strong> at frontier scale across many racks.<\/li>\n
    • High-density inference<\/strong> estates for large-scale services.<\/li>\n
    • HPC & AI<\/strong> convergence in new-build facilities.<\/li>\n
    • Neocloud capacity build-outs where kW per square metre decides the economics.<\/li>\n<\/ul>\n

      AI workload positioning<\/h3>\n

      This is a new-build or major-retrofit<\/strong> product, not something that drops into an existing hall. At this density the rack, the cooling plant, the electrical infrastructure and the building are one system, and RDP scopes them together. 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. The honest constraint: very few Indian facilities can take a 480 kW rack today, and the correct answer for many buyers is the 140 kW ORv3 rack<\/strong> instead. We will say so rather than sell you a rack your building cannot feed.<\/p>\n

      Industry use cases<\/h3>\n
        \n
      • Neocloud:<\/strong> maximum revenue-generating compute per square metre of expensive floor.<\/li>\n
      • Public sector & sovereign:<\/strong> national AI-factory infrastructure built to open standards.<\/li>\n
      • Research & education:<\/strong> next-generation national supercomputing facilities.<\/li>\n
      • Telecom:<\/strong> large-scale AI capacity co-located with core network infrastructure.<\/li>\n
      • Enterprise & GCCs:<\/strong> a dedicated AI facility rather than space in a shared hall.<\/li>\n<\/ul>\n

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

        Near-total heat capture to liquid is the number that matters: it eliminates server fan power and removes the room-cooling ceiling that caps air-cooled halls at roughly 30–40 kW per rack. 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 ORv3 140 kW NVL72-Class AI Rack<\/strong> \u2014 the right answer for most buildings today. Pairs with RDP facility CDUs<\/strong>, the DRACO 250 kW Power & UPS Block<\/strong>, and Rack Integration & Deployment<\/strong>. Populate with rack-scale AI systems or 8-GPU SXM nodes.<\/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

        Full rack and plant telemetry: per-shelf DC load, busbar current, coolant flow, inlet\/outlet delta-T, leak detection and heat-capture accounting, exported to DCIM. Supports the energy-storage and power-smoothing controls that synchronized GPU clusters now require to avoid stressing upstream supply.<\/p>\n

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

        Medium-voltage or 480 V 3-phase input feeding ORv3 rectifier shelves onto a high-current 48 V DC busbar {VERIFY final current rating per config}. Facility-scale CDU, primary and secondary loops, and coordinated power smoothing for training-step load transients. A full facility engineering study is mandatory<\/strong> \u2014 power, water, structure, heat rejection and reuse. 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 16\u201324 weeks including facility engineering. Confirmed at quotation.<\/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 up to 480 kW \u00b7 48V DC busbar \u00b7 fanless direct-to-chip \u00b7 ~100% heat capture<\/p>\n","protected":false},"featured_media":1913,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO ORv3 480 kW AI Factory Rack \u2014 21\u2033 OCP, Full Liquid | RDP GPU Mart","rank_math_description":"RDP DRACO Open Rack v3 AI factory rack engineered to the 480 kW class: 21-inch OCP, 48V DC busbar, fanless direct-to-chip liquid with near-total heat capture. Request a quote from RDP.","_hermes_jsonld":""},"product_brand":[],"product_cat":[28],"product_tag":[],"class_list":["post-12707","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\/12707","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=12707"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1913"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=12707"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=12707"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=12707"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=12707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}