{"id":55,"date":"2026-06-14T16:32:42","date_gmt":"2026-06-14T16:32:42","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/rdp-ai-software-stack-managed\/"},"modified":"2026-07-05T09:22:08","modified_gmt":"2026-07-05T09:22:08","slug":"draco-managed-ai-software-platform","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/draco-managed-ai-software-platform\/","title":{"rendered":"DRACO Managed AI Software Platform"},"content":{"rendered":"<p>The DRACO Managed AI Software Platform is a fully-managed AI software platform \u2014 the OS, GPU drivers, CUDA\/ROCm, frameworks, inference servers and schedulers, pre-integrated, hardened and kept up to date by RDP, so your team runs models instead of maintaining a stack. It runs on-premises behind your firewall, in INR, on a GST invoice, and is delivered configured and validated with the RDP infrastructure it runs on.<\/p>\n<p>Engineered for AI\/ML teams that want to skip stack-engineering, it delivers a maintained, secure, day-one-ready AI software environment, integrated with the rest of the RDP stack.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>Managed AI software platform<\/strong> \u2014 a maintained OS + driver + CUDA\/ROCm + framework + inference-server stack.<\/li>\n<li><strong>On-prem (managed)<\/strong> \u2014 runs on-prem; models and data stay in-house.<\/li>\n<li><strong>Cluster-wide<\/strong> \u2014 spans the cluster, licensed as a managed subscription.<\/li>\n<li><strong>Kept up to date<\/strong> \u2014 RDP patches and updates drivers, CUDA and frameworks with tested releases.<\/li>\n<li><strong>Day-one ready<\/strong> \u2014 frameworks, inference servers and a model zoo configured and tested.<\/li>\n<li><strong>Integrations:<\/strong> NVIDIA\/AMD stack, PyTorch\/TensorFlow, vLLM\/Triton, Slurm\/Kubernetes.<\/li>\n<li><strong>Validated with RDP infrastructure<\/strong> \u2014 delivered configured for your cluster.<\/li>\n<li><strong>Make-in-India OEM<\/strong> \u2014 predictable INR pricing, GST tax invoice, pan-India support, GeM-procurable.<\/li>\n<\/ul>\n<h3>What it does<\/h3>\n<ul>\n<li><strong>Maintained stack (primary):<\/strong> provides and maintains the full AI software stack on your cluster.<\/li>\n<li><strong>Frameworks &amp; inference:<\/strong> PyTorch\/TensorFlow, vLLM\/Triton\/TensorRT-LLM, configured and tested.<\/li>\n<li><strong>Security &amp; updates:<\/strong> hardening, patching and tested release upgrades.<\/li>\n<li><strong>Model &amp; MLOps tooling:<\/strong> model zoo, registries and MLOps integration.<\/li>\n<\/ul>\n<h3>How it works<\/h3>\n<p>RDP installs, hardens and maintains the AI software stack on your cluster \u2014 OS, drivers, CUDA\/ROCm, frameworks, inference servers and scheduler \u2014 delivering tested updates and support, so your team consumes a ready environment. RDP configures it for your cluster and integrates it with the RDP stack. <em>Honest note: the managed scope and update cadence are defined in the service agreement.<\/em><\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Neocloud \/ AI providers<\/strong> \u2014 a maintained software layer for a GPU cloud.<\/li>\n<li><strong>Government &amp; national labs<\/strong> \u2014 sovereign, maintained AI software.<\/li>\n<li><strong>BFSI &amp; enterprise<\/strong> \u2014 governed, supported AI platforms.<\/li>\n<li><strong>Research &amp; higher-ed<\/strong> \u2014 a ready AI environment for teams.<\/li>\n<li><strong>Manufacturing &amp; energy<\/strong> \u2014 managed HPC + AI operations.<\/li>\n<li><strong>Telecom<\/strong> \u2014 large-scale AI software operations.<\/li>\n<\/ul>\n<h3>Outcomes \u2014 and how to be sure<\/h3>\n<p>The outcome is a maintained, secure, day-one-ready AI environment your team just uses. <strong>Want certainty? Request a pilot on your cluster before you commit<\/strong>; we&#8217;ll show the platform and update process on your infrastructure.<\/p>\n<h3>Editions &amp; scale<\/h3>\n<ul>\n<li><strong>DRACO<\/strong> edition \u2014 <em>this<\/em>, cluster-wide.<\/li>\n<li><strong>Scale ladder:<\/strong> 64 \u2192 128 \u2192 256 \u2192 1,024 \u2192 4,096 nodes; multi-DC and managed editions available.<\/li>\n<li><strong>Bundles:<\/strong> pair orchestration + DCIM monitoring + the managed AI platform.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>A maintained on-prem stack avoids cloud lock-in and per-GPU SaaS fees, and frees your engineers from stack maintenance. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a <strong>subscription quote and TCO<\/strong>.<\/p>\n<h3>Integration &amp; compatibility<\/h3>\n<p>Integrates with NVIDIA\/AMD stack, PyTorch\/TensorFlow, vLLM\/Triton, Slurm\/Kubernetes, and the rest of the RDP stack \u2014 GPU servers, fabric, storage and cooling. Standards-based so it fits existing pipelines and tools.<\/p>\n<h3>Deployment &amp; operations<\/h3>\n<p>Delivered installed and configured for your cluster, then maintained by RDP under the service agreement. <em>(Exact managed scope, SLAs and update cadence confirmed at quote.)<\/em><\/p>\n<h3>Licensing, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Licensing:<\/strong> Annual subscription + managed service, cluster-wide.<\/li>\n<li><strong>Support:<\/strong> pan-India support, updates and an escalation path; managed service included <em>(exact terms at quote)<\/em>.<\/li>\n<li><strong>Deployment:<\/strong> On-prem (managed), configured with the RDP infrastructure it runs on.<\/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, pan-India onsite engineers, GeM availability, and DPDP \/ sovereign-AI-ready deployment.<\/p>\n<h3>Buy with confidence<\/h3>\n<p>This is on-prem cluster software \u2014 <strong>talk to an RDP solution architect<\/strong>, get a subscription quote and a pilot on your cluster <strong>before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Managed AI software platform \u00b7 On-prem (managed) \u00b7 Cluster-wide \u00b7 Annual subscription + managed service<\/p>\n","protected":false},"featured_media":2018,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"DRACO Managed AI Software Platform \u2014 Managed AI software platform, on-prem | RDP GPU Mart","rank_math_description":"On-prem Managed AI software platform \u2014 Cluster-wide, Annual subscription + managed service. Integrates with NVIDIA\/AMD stack and the RDP stack. Make-in-India, GST invoice. 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