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Sovereign AI for the public sector

Datacenter-grade AI built and supported in India — data residency under DPDP, MeitY-recognised, and procurement-ready on GeM.

RDP-ValidatedMake in IndiaINR-transparent + GSTPan-India onsite SLAGeM-available
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137 systems

Showing 85–96 of 137 systems
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DRACO Managed Operations and SLA

SKU: 953029
Managed operations · 24×7 NOC with SLA-backed uptime · Pan-India, remote plus onsite · 1–5 years
Fits Managed datacenter operations
Contact for PriceMade to order
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NVIDIA GB300 NVL72 Supercluster

SKU: 300576
165.6 TB HBM3e · 288× Grace · 320 TB · Integrated high-speed NVMe arrays · 1,040 TB/s NVLink · ConnectX-8 800Gb/s
Frontier LLM training & trillion-parameter reasoning
Fits Trillion-parameter
Contact for PriceMade to order
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QUASAR 100 kW In-Row CDU

SKU: 710001
100 kW · L2A CDU (in-row) · Up to 160 L/min · 1-2 racks
Fits Liquid-cooled GPU racks
Contact for PriceMade to order
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QUASAR 16× H200 Micro Data Center Pod

SKU: 639847
2,256 GB HBM3e (16× 141 GB) · 8× Intel Xeon 6 · 2 TB DDR5 ECC · 240 TB NVMe · InfiniBand NDR 400G
Self-contained AI micro data center
Fits 70B+ local
Contact for PriceMade to order
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QUASAR 16× L40S Micro Data Center Pod

SKU: 839156
768 GB GDDR6 (16× 48 GB) · 8× Intel Xeon 6 · 2 TB DDR5 ECC · 160 TB NVMe · 2× 25 GbE
Self-contained AI micro data center
Fits Edge inference
Contact for PriceMade to order
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Showing 85–96 of 137 systems
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Designing a GPU cluster, not just one server?

Talk to our solution architects — multi-node fabric design, financing & GPU-as-a-Service, India-onsite SLA. Quotes route to RDP CRM.

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Build the full stack

Pair your systems with

AI Networking

InfiniBand & 400G fabric for multi-node

From ₹6,20,000

Storage Systems

NVMe data lakes that keep GPUs fed

From ₹11,00,000

Liquid Cooling

DLC + CDU for high-density H100/H200

From ₹4,50,000

Datacenter Infra

Racks, PDU & power to host it all

From ₹1,33,000
Buying guide

Not sure which to pick?

Which GPU for your model size?L40S vs H100 vs H200 — 7B to 405BAir vs liquid coolingWhen you need DLC and a CDU2 vs 4 vs 8 GPUsRight density for your workload
👋 Ask GPU Mart AI — voice & text