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NVIDIA RTX PRO 6000

Datacenter-grade AI infrastructure — Make-in-India, INR-transparent, with pan-India onsite SLA.

RDP-ValidatedMake in IndiaINR-transparent + GSTPan-India onsite SLAGeM-available
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Browse · NVIDIA RTX PRO 6000

18 NVIDIA RTX PRO 6000

Showing 1–12 of 18 systems
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DRACO 2× RTX PRO 6000 aiDAPTIV+ Workstation

SKU: 700090
192 GB GDDR7 + 2 TB aiDAPTIV+ · Xeon w9-3595X · 512 GB DDR5 ECC RDIMM · 8 TB NVMe + 2 TB aiDAPTIV+ cache · 2× 10GbE + 1× 25GbE SFP28
Large-model aiDAPTIV+ fine-tune
Fits 70B–180B
Contact for PriceMade to order
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DRACO 4× RTX PRO 6000 aiDAPTIV+ Workstation

SKU: 700180
384 GB GDDR7 + 2 TB aiDAPTIV+ · Xeon w9-3595X · 1 TB DDR5 ECC RDIMM (8× 128GB) · 8 TB NVMe + 2 TB aiDAPTIV+ cache · 2× 10GbE + 1× 25GbE SFP28
Flagship aiDAPTIV+ workstation fine-tune
Fits 180B+
Contact for PriceMade to order
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DRACO 8× RTX PRO 6000 aiDAPTIV+ AI Server

SKU: 800180
768 GB GDDR7 + 16 TB aiDAPTIV+ · 2× Intel Xeon Scalable · 1 TB DDR5 ECC RDIMM · 32 TB NVMe + 16 TB aiDAPTIV+ cache · 2× 100GbE + 2× 25GbE + BMC
Dense aiDAPTIV+ training & inference
Fits 180B+
Contact for PriceMade to order
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QUASAR 4× RTX PRO 6000 aiDAPTIV+ AI Server

SKU: 800070
384 GB GDDR7 + 8 TB aiDAPTIV+ · 2× Intel Xeon Scalable · 512 GB DDR5 ECC RDIMM · 16 TB NVMe + 8 TB aiDAPTIV+ cache · 2× 100GbE + 2× 25GbE + BMC
Multi-GPU aiDAPTIV+ server fine-tune
Fits 70B–180B
Contact for PriceMade to order
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Showing 1–12 of 18 systems

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