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6 providers · per GPU-hour

NVIDIA RTX PRO 6000 cloud pricing

6 offers from 6 providers, 6 with a published on-demand price. Per GPU-hour, US$. Prices checked 28 Sept 2026.
Lowest on-demand
$1.80/GPU-hr
Lowest spot
$1.39/GPU-hr
Memory
96 GB GDDR7 ECC
GPU cloud offers sorted by on-demand price per GPU-hour, USD
#ProviderOfferOn-demandSpotCommittedAs published (original currency) · sourceActions
1Nebius
RTX PRO 6000 x1
$1.80/GPU-hr——
USD 1.8/hr per GPU
global
2Verda (formerly DataCrunch)
RTX PRO 6000 x1
$1.84/GPU-hr——
USD 1.84/hr per GPU
not stated
3Hyperstack
RTX PRO 6000 x1
$1.85/GPU-hr——
USD 1.85/hr per GPU
CANADA-1
4Jarvislabs
RTX PRO 6000 x1
1× RTX PRO 6000 Blackwell Server Edition · 28 vCPU · 160 GB RAM
$1.89/GPU-hr——
USD 1.89/hr per GPU
not stated (India/EU)
5CoreWeave
NVIDIA RTX PRO 6000 Blackwell Server Edition, High Memory (8x)
8× RTX PRO 6000 Blackwell Server Edition · 128 vCPU · 1024 GB RAM
$2.50/GPU-hr$1.39/GPU-hr—
USD 20/hr
North America
6Cyfuture
RTX PRO 6000 x1
1× RTX PRO 6000 Blackwell Server Edition · 16 vCPU · 128 GB RAM
$2.70/GPU-hr——
INR 256.5/hr per GPU
India

What is the RTX PRO 6000 used for?

The RTX PRO 6000 is a data-centre GPU positioned by its maker for both training and inference, built on the Blackwell architecture and released in 2025.

How large a model fits on one RTX PRO 6000?

With 96 GB of memory, one card holds the weights of a model up to about 48 billion parameters at 16-bit precision, or about 96 billion at 8-bit. That is weights only: inference also needs room for the KV cache, and training needs several times more for gradients and optimiser state, so larger jobs are split across multiple GPUs.

Spec (as published)RTX PRO 6000 Blackwell Server Edition
ArchitectureBlackwell
Form factorPCIe dual-slot FHFL (air) | single-slot FHXL (liquid)
Memory96 GB GDDR7 ECC
Memory bandwidth1,597 GB/s
Max power (TDP)600 W
Precisions listedFP4, FP8, FP16, BF16, TF32, FP32
PartitioningUp to 4 MIG instances
Released2025
Sourcemaker spec sheet ↗

Need RTX PRO 6000 capacity for a longer run?

Committed and cluster pricing is often negotiated. Tell us the GPU count, duration and region.

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