QUASAR Cluster Orchestration Suite
Cluster orchestration & GPU scheduling · On-prem (bare-metal / Kubernetes) · Up to 1,024 nodes · Per-node annual subscription
Key Specifications
See full specs ↓“RDP delivered and installed our edge AI pods across 6 sites with predictable INR pricing and onsite SLA.” — [customer / sector, to confirm]
Designed, built and supported in India — sovereign by design
Your AI factory on sovereign Indian infrastructure: data residency under DPDP, MeitY-recognised, ISO 27001 / SOC 2 deployment paths, and procurement on GeM.
Overview
The QUASAR Cluster Orchestration Suite schedules and orchestrates AI workloads across a GPU cluster — 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.
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.
Key highlights
- Cluster orchestration & GPU scheduling — job scheduling, GPU/MIG partitioning, queues and fair-share across tenants.
- On-prem (bare-metal / Kubernetes) — runs on-prem; your data and telemetry never leave the site.
- Up to 1,024 nodes — sized for clusters of this scale, licensed per node.
- High GPU utilisation — bin-packing and back-fill keep GPUs busy and reduce idle spend.
- Multi-tenant — isolate teams/projects with quotas and priorities.
- Integrations: Slurm, Kubernetes, NVIDIA GPU Operator, Prometheus.
- Validated with RDP infrastructure — delivered configured for your cluster.
- Make-in-India OEM — predictable INR pricing, GST tax invoice, pan-India support, GeM-procurable.
What it does
- Scheduling (primary): queue, schedule and place AI jobs across the cluster with GPU-aware bin-packing.
- Partitioning: MIG/GPU partitioning and fractional GPUs for inference and dev.
- Multi-tenancy: quotas, priorities and fair-share across teams.
- Observability: job and GPU metrics for utilisation tracking.
How it works
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. Honest note: real utilisation/observability depends on workload mix and configuration — we tune it for your cluster.
Industry use cases
- Neocloud / AI providers — multi-tenant GPU scheduling for a GPU cloud.
- Government & national labs — sovereign cluster scheduling.
- BFSI & enterprise — shared AI platforms with governance.
- Research & higher-ed — fair-share access to shared clusters.
- Manufacturing & energy — managed HPC + AI operations.
- Telecom — large-scale cluster operations.
Outcomes — and how to be sure
The outcome is higher GPU utilisation and orderly multi-tenant access. Want certainty? Request a pilot on your cluster before you commit; we’ll show utilisation and queue behaviour on your workloads.
Editions & scale
- QUASAR edition — this, up to 1,024 nodes.
- Scale ladder: 64 → 128 → 256 → 1,024+ nodes; multi-DC editions available.
- Bundles: pair orchestration + DCIM monitoring + the managed AI software platform.
On-prem vs cloud — the TCO case
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 — ask for a per-node licensing quote and TCO.
Integration & compatibility
Integrates with Slurm, Kubernetes, NVIDIA GPU Operator, Prometheus, and the rest of the RDP stack — GPU servers, fabric, storage and cooling. Standards-based so it fits existing pipelines and tools.
Deployment & operations
Delivered installed and configured for your cluster, with dashboards, alerts and runbooks. Optional managed operations. (Exact node count, retention and integration scope confirmed at quote.)
Licensing, warranty & support
- Licensing: Per-node annual subscription, up to 1,024 nodes.
- Support: pan-India support, updates and an escalation path; optional managed ops (exact terms at quote).
- Deployment: On-prem (bare-metal / Kubernetes), configured with the RDP infrastructure it manages.
Why RDP
14 years of Make-in-India infrastructure and 300,000+ devices shipped. Indian OEM, INR pricing, GST tax invoice, pan-India onsite engineers, GeM availability, and DPDP / sovereign-AI-ready deployment.
Buy with confidence
This is on-prem cluster software, licensed per node — talk to an RDP solution architect, get a per-node quote and a pilot on your cluster before you commit. Request a quote to begin.
Specifications
| Software Type | Cluster orchestration & GPU scheduling |
| Deployment | On-prem (bare-metal / Kubernetes) |
| Scale | Up to 1,024 nodes |
| Licensing | Per-node annual subscription |
| Integrations | Slurm, Kubernetes, NVIDIA GPU Operator, Prometheus |
| Series | QUASAR |
| Model fit | Cluster orchestration & scheduling |
Why RDP GPU Mart
- ✓ Make in India OEM — Hyderabad facility, 14 years, 300,000+ devices shipped.
- ✓ Sovereign-ready: India data residency (DPDP), MeitY-recognised, ISO 27001 / SOC 2 paths.
- ✓ INR-transparent: GST invoice, CGST/SGST or IGST, pan-India onsite SLA.
- ✓ Available on GeM for government and PSU procurement.
FAQ
Is GST invoicing available?
Yes — GST invoice, CGST+SGST or IGST by billing state, eligible for input credit.
Do you deliver and install pan-India?
Yes — pan-India delivery with onsite installation and a 3-year onsite SLA.
What warranty and support is included?
3-year pan-India onsite SLA with AMC and flexible financing options.
Can this be configured to my workload?
Yes — talk to an RDP solutions architect for a custom build or multi-node cluster.
Compare the range
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| QUASAR DCIM Monit… | DRACO Managed AI … | QUASAR DCIM Monit… | QUASAR DCIM Monit… | |
|---|---|---|---|---|
| GPUs | — | — | — | — |
| GPU memory | — | — | — | — |
| Model fit | DCIM monitoring & observability | Managed AI platform ops | DCIM monitoring & observability | DCIM monitoring & observability |
| Networking | — | — | — | — |
| Chassis | — | — | — | — |
| Price | Request a Quote | On request | Request a Quote | Request a Quote |
| View | Quote | View | View |
Build the full stack
Pair it with
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Designing a GPU cluster, not just one server?
Talk to an RDP solutions architect about the full fabric — networking, storage, rack and power.
*Pan-India delivery and onsite installation are subject to location serviceability; standard SLA terms apply. Specifications indicative; final configuration confirmed on quote.