workstation
Louer Nvidia RTX PRO 6000.
Blackwell
96GB VRAM
Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How much does it cost to rent the Nvidia RTX PRO 6000?
No provider has listed a Nvidia RTX PRO 6000 in the last 24 hours, so there is no current price. Listings for older or less common cards come and go; the price history below shows when it was last available.
What AI models can the Nvidia RTX PRO 6000 run?
With 96 GB it holds a 70B model at INT8/FP8 (about 70 GB of weights) on one card, or at 4-bit with plenty of room for long contexts and many concurrent requests. It can QLoRA fine-tune 70B models. FP16 70B (about 140 GB) needs two cards.
Which models are recommended for the Nvidia RTX PRO 6000?
6 models in our catalog have a recommended configuration for this card, with the quantization that fits its 96 GB — see the AI models tab.
Why does the Nvidia RTX PRO 6000 cost different amounts on different providers?
Marketplaces such as Vast.ai and Clore.ai list machines from independent hosts who set their own prices, so competition pushes rates down but reliability varies by host. Operator clouds such as Lambda and the hyperscalers charge more for consistent hardware, support and networking. Prices here are per GPU, so they compare directly.
How is the Nvidia RTX PRO 6000 price calculated?
We collect listings from each provider's public API or price page — every 5–10 minutes for marketplaces, up to daily for operator clouds — and show the median hourly price per provider from the last 24 hours, so one unusually cheap listing doesn't set the headline. Details are on the methodology page.
AI models
INT4
INT4
INT4
INT4
INT4
INT4
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia RTX PRO 6000.
Mixtral 8x22B
by Mistral AI
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
141B (39B active)
Context
66K tokens
Mistral Large 2
by Mistral AI
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
123B
Context
128K tokens
Qwen3.5 122B A10b Fp8
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
122B
Context
262K tokens
Qwen: Qwen3.5-122B-A10B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
122B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Fp8
by Nvidia
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
120B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Bf16
by Nvidia
Required GPUs
1× Nvidia RTX PRO 6000
Total VRAM
96 GB
Parameters
120B
Context
262K tokens
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How much does it cost to rent the Nvidia RTX PRO 6000?
No provider has listed a Nvidia RTX PRO 6000 in the last 24 hours, so there is no current price. Listings for older or less common cards come and go; the price history below shows when it was last available.
What AI models can the Nvidia RTX PRO 6000 run?
With 96 GB it holds a 70B model at INT8/FP8 (about 70 GB of weights) on one card, or at 4-bit with plenty of room for long contexts and many concurrent requests. It can QLoRA fine-tune 70B models. FP16 70B (about 140 GB) needs two cards.
Which models are recommended for the Nvidia RTX PRO 6000?
6 models in our catalog have a recommended configuration for this card, with the quantization that fits its 96 GB — see the AI models tab.
Why does the Nvidia RTX PRO 6000 cost different amounts on different providers?
Marketplaces such as Vast.ai and Clore.ai list machines from independent hosts who set their own prices, so competition pushes rates down but reliability varies by host. Operator clouds such as Lambda and the hyperscalers charge more for consistent hardware, support and networking. Prices here are per GPU, so they compare directly.
How is the Nvidia RTX PRO 6000 price calculated?
We collect listings from each provider's public API or price page — every 5–10 minutes for marketplaces, up to daily for operator clouds — and show the median hourly price per provider from the last 24 hours, so one unusually cheap listing doesn't set the headline. Details are on the methodology page.