{"id":53,"date":"2026-06-14T16:32:42","date_gmt":"2026-06-14T16:32:42","guid":{"rendered":"https:\/\/rdp.in\/gpu-mart\/product\/rdp-cluster-orchestration-licence\/"},"modified":"2026-07-05T09:22:08","modified_gmt":"2026-07-05T09:22:08","slug":"quasar-cluster-orchestration-suite","status":"publish","type":"product","link":"https:\/\/rdp.in\/gpu-mart\/product\/quasar-cluster-orchestration-suite\/","title":{"rendered":"QUASAR Cluster Orchestration Suite"},"content":{"rendered":"<p>The QUASAR Cluster Orchestration Suite schedules and orchestrates AI workloads across a GPU cluster \u2014 multi-tenant job queuing, GPU\/MIG partitioning, fair-share and bin-packing so your expensive GPUs stay busy. It runs on-premises behind your firewall, in INR, on a GST invoice, and is delivered configured and validated with the RDP infrastructure it manages.<\/p>\n<p>Engineered for AI platform and operations teams, it turns a pile of GPU servers into a shared, well-utilised cluster, integrated with the rest of the RDP stack.<\/p>\n<h3>Key highlights<\/h3>\n<ul>\n<li><strong>Cluster orchestration &amp; GPU scheduling<\/strong> \u2014 job scheduling, GPU\/MIG partitioning, queues and fair-share across tenants.<\/li>\n<li><strong>On-prem (bare-metal \/ Kubernetes)<\/strong> \u2014 runs on-prem; your data and telemetry never leave the site.<\/li>\n<li><strong>Up to 1,024 nodes<\/strong> \u2014 sized for clusters of this scale, licensed per node.<\/li>\n<li><strong>High GPU utilisation<\/strong> \u2014 bin-packing and back-fill keep GPUs busy and reduce idle spend.<\/li>\n<li><strong>Multi-tenant<\/strong> \u2014 isolate teams\/projects with quotas and priorities.<\/li>\n<li><strong>Integrations:<\/strong> Slurm, Kubernetes, NVIDIA GPU Operator, Prometheus.<\/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>Scheduling (primary):<\/strong> queue, schedule and place AI jobs across the cluster with GPU-aware bin-packing.<\/li>\n<li><strong>Partitioning:<\/strong> MIG\/GPU partitioning and fractional GPUs for inference and dev.<\/li>\n<li><strong>Multi-tenancy:<\/strong> quotas, priorities and fair-share across teams.<\/li>\n<li><strong>Observability:<\/strong> job and GPU metrics for utilisation tracking.<\/li>\n<\/ul>\n<h3>How it works<\/h3>\n<p>A control plane runs the scheduler (Slurm and\/or Kubernetes with a GPU operator), accepting jobs into queues, partitioning GPUs (MIG), and placing work to maximise utilisation while enforcing tenant quotas. RDP configures it for your cluster topology and integrates it with the RDP stack. <em>Honest note: real utilisation\/observability depends on workload mix and configuration \u2014 we tune it for your cluster.<\/em><\/p>\n<h3>Industry use cases<\/h3>\n<ul>\n<li><strong>Neocloud \/ AI providers<\/strong> \u2014 multi-tenant GPU scheduling for a GPU cloud.<\/li>\n<li><strong>Government &amp; national labs<\/strong> \u2014 sovereign cluster scheduling.<\/li>\n<li><strong>BFSI &amp; enterprise<\/strong> \u2014 shared AI platforms with governance.<\/li>\n<li><strong>Research &amp; higher-ed<\/strong> \u2014 fair-share access to shared clusters.<\/li>\n<li><strong>Manufacturing &amp; energy<\/strong> \u2014 managed HPC + AI operations.<\/li>\n<li><strong>Telecom<\/strong> \u2014 large-scale cluster operations.<\/li>\n<\/ul>\n<h3>Outcomes \u2014 and how to be sure<\/h3>\n<p>The outcome is higher GPU utilisation and orderly multi-tenant access. <strong>Want certainty? Request a pilot on your cluster before you commit<\/strong>; we&#8217;ll show utilisation and queue behaviour on your workloads.<\/p>\n<h3>Editions &amp; scale<\/h3>\n<ul>\n<li><strong>QUASAR<\/strong> edition \u2014 <em>this<\/em>, up to 1,024 nodes.<\/li>\n<li><strong>Scale ladder:<\/strong> 64 \u2192 128 \u2192 256 \u2192 1,024+ nodes; multi-DC editions available.<\/li>\n<li><strong>Bundles:<\/strong> pair orchestration + DCIM monitoring + the managed AI software platform.<\/li>\n<\/ul>\n<h3>On-prem vs cloud \u2014 the TCO case<\/h3>\n<p>Running your own scheduler on-prem avoids per-GPU SaaS fees and keeps telemetry in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice \u2014 ask for a <strong>per-node licensing quote and TCO<\/strong>.<\/p>\n<h3>Integration &amp; compatibility<\/h3>\n<p>Integrates with Slurm, Kubernetes, NVIDIA GPU Operator, Prometheus, 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, with dashboards, alerts and runbooks. Optional managed operations. <em>(Exact node count, retention and integration scope confirmed at quote.)<\/em><\/p>\n<h3>Licensing, warranty &amp; support<\/h3>\n<ul>\n<li><strong>Licensing:<\/strong> Per-node annual subscription, up to 1,024 nodes.<\/li>\n<li><strong>Support:<\/strong> pan-India support, updates and an escalation path; optional managed ops <em>(exact terms at quote)<\/em>.<\/li>\n<li><strong>Deployment:<\/strong> On-prem (bare-metal \/ Kubernetes), configured with the RDP infrastructure it manages.<\/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, licensed per node \u2014 <strong>talk to an RDP solution architect<\/strong>, get a per-node quote and a pilot on your cluster <strong>before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cluster orchestration &amp; GPU scheduling \u00b7 On-prem (bare-metal \/ Kubernetes) \u00b7 Up to 1,024 nodes \u00b7 Per-node annual subscription<\/p>\n","protected":false},"featured_media":2020,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"QUASAR Cluster Orchestration Suite \u2014 Cluster orchestration & GPU scheduling, on-prem | RDP GPU Mart","rank_math_description":"On-prem Cluster orchestration & GPU scheduling \u2014 Up to 1,024 nodes, Per-node annual subscription. Integrates with Slurm and the RDP stack. Make-in-India, GST invoice. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[30],"product_tag":[83],"class_list":["post-53","product","type-product","status-publish","has-post-thumbnail","product_cat-cluster-software-management","product_tag-ready-to-buy","pa_industry-neocloud","pa_industry-public-sector-sovereign-ai","pa_industry-research-higher-education","pa_series-quasar","first","onbackorder","taxable","shipping-taxable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/53","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=53"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/2020"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=53"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=53"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=53"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=53"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}