QUASAR 32-Port 200G Ethernet AI Switch

Overview

The QUASAR 32-Port 200G Ethernet AI Switch is the high-bandwidth interconnect that turns a pile of GPU servers into a cluster. It provides 32× 200G QSFP56 at 12.8 Tb/s of non-blocking switching over Spectrum-X Ethernet (RoCE), with Low-latency cut-through — the low-latency, lossless fabric that lets distributed AI training scale across nodes without the network becoming the bottleneck. On-premises, in INR, on a GST invoice.

Engineered as the fabric layer of an RDP AI cluster, it carries the collective (all-reduce) traffic that dominates multi-node training, and is delivered configured, cabled and validated alongside the compute and storage it connects.

Key highlights

• 32× 200G QSFP56 · 12.8 Tb/s — non-blocking switching to wire a GPU cluster at full bandwidth.
• Spectrum-X Ethernet (RoCE) — RoCE with adaptive routing and congestion control tuned for AI.
• Low-latency cut-through — low latency so distributed training scales with near-linear efficiency.
• 200G / 100G per port — flexible speeds to match your GPU NICs/DPUs.
• Spine-leaf ready — combine switches into a non-blocking fabric for hundreds to thousands of GPUs.
• Validated with RDP compute — delivered as part of a tested cluster, not a loose box.
• On-prem sovereignty — your fabric, your data path; DPDP-friendly, air-gappable.
• Make-in-India OEM — predictable INR pricing, GST tax invoice (HSN 8517), pan-India onsite support, GeM-procurable.

Where it fits

• GPU cluster fabric (primary): the interconnect between GPU servers that carries distributed-training collectives.
• Storage fabric: high-bandwidth path between GPU nodes and the NVMe parallel-FS (GPUDirect).
• Scale-out spine: a leaf or spine in a non-blocking topology for large clusters.
• AI Ethernet fabric: RoCE-based AI fabric for teams standardising on Ethernet.

How it works

The switch forms a leaf/spine fabric with RoCE over Ethernet; GPU NICs/DPUs connect at 200G / 100G. Adaptive routing, PFC and congestion control keep the fabric lossless — so all-reduce traffic, which dominates multi-node training, completes fast. RDP sizes the topology (oversubscription, spine count) to your cluster. Honest note: real scaling efficiency depends on topology, collective library and model — we validate it on your cluster, not just a peak port number.

Industry use cases

• AI/ML & foundation-model teams — the fabric that lets training scale across nodes.
• Government & national labs — sovereign HPC/AI interconnect.
• Neocloud / AI providers — the fabric layer of a GPU cloud.
• BFSI & research — low-latency clusters for training and HPC.
• Telecom — high-bandwidth AI fabric at core/edge.
• Manufacturing & energy — HPC + AI cluster interconnect.

Performance — and how to be sure

We don’t publish inflated peak numbers. The honest picture: 12.8 Tb/s non-blocking at Low-latency cut-through is sized to carry cluster collectives without becoming the bottleneck. Want certainty? Request a free scaling test of your training job across nodes on this fabric before you buy; we’ll send back real all-reduce bandwidth and scaling efficiency.

Series & scale path

• QUASAR (performance fabric tier) — this.
• Speed ladder: 200G Ethernet → 400G NDR → 800G XDR InfiniBand.
• Scale: single switch → leaf-spine fabric → full non-blocking fabric for thousands of GPUs (see RDP AI Networking fabric bundles).

On-prem vs cloud — the TCO case

An owned fabric is a one-time asset that removes the per-node networking premium of cloud GPU clusters and keeps the data path in-house. RDP pricing is fixed in INR with a GST input-credit-eligible invoice — ask for a fabric design and TCO for your cluster.

Software & integration

Integrates with the AI stack: NCCL over RoCE, NVIDIA Spectrum-X, and standard Ethernet tooling, with fabric monitoring and telemetry. Validated with RDP GPU servers, rack-scale systems and storage.

Power, cooling & rack integration

A 1U short-depth switch with redundant PSUs and front-to-back airflow — specify rack power, cooling and cable plant (DAC/AOC/transceivers). (Exact power draw, BTU and cabling confirmed on the build sheet.) Full out-of-band management.

Deployment, warranty & support

• Made to order, configured, cabled and validated in India as part of the cluster; lead time confirmed at quote.
• In the box: switch, rails, power cables, and the configured fabric profile; transceivers/cables scoped at quote.
• Onsite warranty + AMC with pan-India coverage and an RMA/escalation path (exact terms confirmed at quote).

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 an AI cluster fabric switch, made to order — talk to an RDP solution architect, design the topology and oversubscription for your cluster, get a fabric TCO, and run a scaling test before you commit. Request a quote to begin.

Specifications