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\u00d7 200G QSFP56 at 12.8 Tb\/s of non-blocking switching over Spectrum-X Ethernet (RoCE), with Low-latency cut-through \u2014 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.<\/p>\n
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.<\/p>\n
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 \u2014 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 \u2014 we validate it on your cluster, not just a peak port number.<\/em><\/p>\n 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<\/strong>; we’ll send back real all-reduce bandwidth and scaling efficiency.<\/p>\n 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 \u2014 ask for a fabric design and TCO<\/strong> for your cluster.<\/p>\n 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.<\/p>\n A 1U short-depth switch with redundant PSUs and front-to-back airflow \u2014 specify rack power, cooling and cable plant (DAC\/AOC\/transceivers). (Exact power draw, BTU and cabling confirmed on the build sheet.)<\/em> Full out-of-band management.<\/p>\n 14 years of Make-in-India infrastructure and 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 This is an AI cluster fabric switch, made to order \u2014 talk to an RDP solution architect<\/strong>, design the topology and oversubscription for your cluster, get a fabric TCO, and run a scaling test before you commit.<\/strong> Request a quote to begin.<\/p>\n","protected":false},"excerpt":{"rendered":" 32\u00d7 200G QSFP56 \u00b7 12.8 Tb\/s switching \u00b7 Spectrum-X Ethernet (RoCE) \u00b7 Low-latency cut-through \u00b7 1U short-depth<\/p>\n","protected":false},"featured_media":1954,"comment_status":"open","ping_status":"closed","template":"","meta":{"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","rank_math_title":"QUASAR 32-Port 200G Ethernet AI Switch \u2014 12.8 Tb\/s, Spectrum-X Ethernet (RoCE) | RDP GPU Mart","rank_math_description":"On-prem AI cluster fabric \u2014 32\u00d7 200G QSFP56, 12.8 Tb\/s non-blocking, Spectrum-X Ethernet (RoCE), Low-latency cut-through. Wire your GPU cluster at full bandwidth. Make-in-India, GST invoice. Request a quote.","_hermes_jsonld":""},"product_brand":[],"product_cat":[23],"product_tag":[],"class_list":["post-103","product","type-product","status-publish","has-post-thumbnail","product_cat-ai-networking","pa_form-factor-1u","pa_industry-enterprise-gccs","pa_industry-neocloud","pa_industry-public-sector-sovereign-ai","pa_industry-telecom-5g","pa_series-quasar","first","instock","taxable","shipping-taxable","product-type-external"],"_links":{"self":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product\/103","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=103"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media\/1954"}],"wp:attachment":[{"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/media?parent=103"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_brand?post=103"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_cat?post=103"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/rdp.in\/gpu-mart\/wp-json\/wp\/v2\/product_tag?post=103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Industry use cases<\/h3>\n
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Performance \u2014 and how to be sure<\/h3>\n
Series & scale path<\/h3>\n
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On-prem vs cloud \u2014 the TCO case<\/h3>\n
Software & integration<\/h3>\n
Power, cooling & rack integration<\/h3>\n
Deployment, warranty & support<\/h3>\n
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Why RDP<\/h3>\n
Buy with confidence<\/h3>\n