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RTX PRO 6000 Blackwell Server Edition

NVIDIA RTX PRO 6000 Server Edition capacity in India.

Monthly 96GB Server Edition capacity for visual AI, rendering, simulation, media and qualified CUDA workloads.

₹1,10,000 per GPU card per month
Monthly price
One allocated RTX PRO 6000 GPU card for one month.
System details
Exact variant, card count, host CPU, RAM, storage, network, location and topology.
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Official NVIDIA product render of the RTX PRO 6000 Blackwell Server Edition
Memory
96GB GDDR7 ECC
Edition
Blackwell Server
Cooling
Air or liquid variant
Workload
Visual AI and CUDA
RTX PRO 6000 and adjacent monthly GPU prices
GPUMemoryMonthly priceChoose when
L40S 48GB 48GB GDDR6 ECC ₹55,000per GPU card per month Mixed AI and visual compute
RTX PRO 6000 96GBCurrent option 96GB GDDR7 ECC ₹1,10,000per GPU card per month Visual AI and server graphics
H200 141GB 141GB HBM3e ₹2,20,000per GPU card per month Memory-bound serving
RTX PRO 6000 buying questions

Server Edition is part of the name.

RTX PRO 6000 Blackwell Server Edition is not RTX 6000 Ada and not a gaming offer. Cooling, host design, virtualization and graphics support remain quote-time facts.

Choose it whenA workload needs a 96GB single-GPU tier together with enterprise graphics, media or visual-computing capabilities.
Check before orderingAir or liquid cooling, passthrough or vGPU mode, remote graphics, software licences, host power and storage.
Is this a gaming GPU offer?

No. This page covers NVIDIA RTX PRO 6000 Blackwell Server Edition capacity for qualified professional, visual and AI workloads.

How is it different from RTX 6000 Ada?

They are different product generations and offers. The quote must use the complete Blackwell Server Edition name and state the exact cooling and host configuration.

Is the offered GPU air-cooled or liquid-cooled?

The public price does not choose the cooling variant. The written quote must state the exact Server Edition card and compatible host design.

When should I choose it over L40S or H200?

Choose it over L40S when 96GB or the newer visual-compute feature set is material. Evaluate H200 when HBM memory and a data-center training or serving topology matter more.

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