{"id":40,"date":"2026-06-14T16:32:42","date_gmt":"2026-06-14T16:32:42","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/rdp-object-storage-platform\/"},"modified":"2026-07-05T09:22:10","modified_gmt":"2026-07-05T09:22:10","slug":"draco-10-pb-object-ai-storage","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-10-pb-object-ai-storage\/","title":{"rendered":"DRACO 10 PB Object AI Storage"},"content":{"rendered":"<p>The DRACO 10 PB Object AI Storage is a scale-out, S3-compatible object storage platform for the AI data lifecycle \u2014 10 PB usable (erasure-coded) of durable capacity for datasets, model registries, checkpoint archives and warm\/cold tiers. It gives AI teams a private, exabyte-scalable object store behind their firewall, in INR, on a GST invoice, so training data and model artefacts live in-house with cloud-like S3 access.<\/p>\n<p>Engineered as the capacity tier beneath the high-bandwidth NVMe parallel filesystem, it stores the bulk of AI data durably and cost-effectively with erasure coding, exposing the S3 API your pipelines and MLOps tools already use \u2014 delivered as one validated cluster with one warranty and one support contract.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>10 PB usable (erasure-coded) \u00b7 S3-compatible<\/strong> \u2014 exabyte-scalable durable capacity with the S3 API your tools already speak.<\/li>\n<li><strong>Erasure-coded durability<\/strong> \u2014 high data durability without full replication overhead.<\/li>\n<li><strong>Hybrid NVMe + HDD, scale-out<\/strong> \u2014 hybrid NVMe + HDD scale-out for cost-effective capacity with fast metadata.<\/li>\n<li><strong>High-throughput Ethernet<\/strong> \u2014 high-throughput access for many concurrent clients.<\/li>\n<li><strong>Capacity tier for AI<\/strong> \u2014 pairs with the NVMe parallel-FS hot tier; stage hot data up, archive cold data down.<\/li>\n<li><strong>On-prem data sovereignty<\/strong> \u2014 datasets and model artefacts stay in-house; DPDP-friendly, air-gappable.<\/li>\n<li><strong>Make-in-India OEM<\/strong> \u2014 predictable INR pricing, GST tax invoice (HSN 8471), pan-India onsite support, GeM-procurable.<\/li>\n<\/ul>\n<h3>Where it fits<\/h3>\n<ul>\n<li><strong>Dataset lake (primary):<\/strong> the durable, S3-accessible home for training datasets and raw data.<\/li>\n<li><strong>Model registry &amp; artefacts:<\/strong> versioned storage for model weights, checkpoints and experiment outputs.<\/li>\n<li><strong>Warm\/cold tier:<\/strong> the capacity tier beneath the NVMe hot tier; archive what isn&#8217;t being actively trained.<\/li>\n<li><strong>Data sharing:<\/strong> S3 access for teams, pipelines and MLOps tooling across the org.<\/li>\n<\/ul>\n<h3>How it works<\/h3>\n<p>A scale-out object cluster stores data as S3 objects with erasure coding for durability, exposing the S3 API over High-throughput Ethernet. Capacity and durability scale by adding nodes. It pairs with the NVMe parallel-FS hot tier: stage active datasets up for high-bandwidth GPU feeding, keep the bulk durably here. <em>Honest note: object storage is the capacity\/durability tier, not the high-bandwidth GPU-feeding tier \u2014 pair it with NVMe parallel-FS for training I\/O.<\/em><\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Government &amp; national labs<\/strong> \u2014 sovereign data lakes and archives for national AI and HPC.<\/li>\n<li><strong>AI\/ML &amp; foundation-model teams<\/strong> \u2014 durable dataset and model storage.<\/li>\n<li><strong>BFSI &amp; healthcare<\/strong> \u2014 data-resident storage under compliance.<\/li>\n<li><strong>Media &amp; design<\/strong> \u2014 large asset and archive storage.<\/li>\n<li><strong>Energy &amp; manufacturing<\/strong> \u2014 large datasets for AI\/HPC.<\/li>\n<li><strong>Neocloud \/ AI providers<\/strong> \u2014 the capacity storage tier for a GPU cloud.<\/li>\n<\/ul>\n<h3>Performance \u2014 and how to be sure<\/h3>\n<p>We don&#8217;t publish inflated peak numbers. The honest picture: 10 PB usable (erasure-coded) of durable S3 capacity. <strong>Want certainty? Request a free benchmark with your data and access pattern on this exact configuration before you buy<\/strong>; we&#8217;ll send back real throughput, durability and access latency.<\/p>\n<h3>Series &amp; scale path<\/h3>\n<ul>\n<li><strong>DRACO<\/strong> (flagship storage tier) \u2014 <em>this<\/em>.<\/li>\n<li><strong>Tiering:<\/strong> NVMe parallel-FS hot tier (GPU feeding) + object capacity tier (durable datasets\/archives).<\/li>\n<li><strong>When to step up:<\/strong> add nodes for more capacity and durability \u2014 talk to an architect about the tiering.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>For AI data at scale, owning beats renting: cloud egress and per-GB costs add up fast against large datasets, and on-prem keeps data resident. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a <strong>3-year TCO comparison<\/strong> including egress savings.<\/p>\n<h3>Software &amp; integration<\/h3>\n<p>Integrates with your stack: S3-compatible object (erasure-coded), standard S3 clients and MLOps registries, with monitoring and quota\/multi-tenant management. Works with PyTorch\/TensorFlow data loaders, Slurm\/Kubernetes and common MLOps tooling.<\/p>\n<h3>Power, cooling &amp; rack integration<\/h3>\n<p>A Scale-out cluster air-cooled system with redundant PSUs \u2014 specify rack power and cooling. <em>(Exact power draw, BTU, airflow and footprint figures confirmed on the build sheet.)<\/em> Full out-of-band management and drive hot-swap.<\/p>\n<h3>Deployment, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Made to order<\/strong>, built, racked and burned-in in India; lead time confirmed at quote.<\/li>\n<li><strong>In the box:<\/strong> storage nodes, drives, rails, cabling, quick-start, and the configured object cluster.<\/li>\n<li><strong>Onsite warranty + AMC<\/strong> with pan-India coverage, drive-replacement SLA and an RMA\/escalation path <em>(exact terms confirmed at quote)<\/em>.<\/li>\n<\/ul>\n<h3>Why RDP<\/h3>\n<p>14 years of Make-in-India infrastructure and <strong>300,000+ devices shipped<\/strong>. Indian OEM, INR pricing, GST tax invoice (HSN 8471), pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready deployment.<\/p>\n<h3>Buy with confidence<\/h3>\n<p>This is an AI storage system, made to order \u2014 <strong>talk to an RDP solution architect<\/strong>, size capacity and tiering for your AI estate, get a 3-year TCO, and <strong>benchmark your own access pattern before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>10 PB usable (erasure-coded) \u00b7 50 GB\/s aggregate \u00b7 S3-compatible object (erasure-coded) \u00b7 High-throughput Ethernet \u00b7 Scale-out cluster<\/p>\n","protected":false},"featured_media":1951,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO 10 PB Object AI Storage \u2014 S3, erasure-coded | RDP GPU Mart","rank_math_description":"On-prem AI object storage \u2014 10 PB usable (erasure-coded), S3-compatible object (erasure-coded). Durable S3 capacity for datasets and models. Make-in-India, GST invoice. 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