workstation
租用 Nvidia Quadro RTX 4000.
Turing
8GB VRAM
160W
From $0.12/hr
Per hour
$0.12
Per day
$2.93
Per week
$20.53
Per month
$88
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
Buy vs rent
Should you rent or own?
Your usage
Rent on cloud
Per day
—
Per month
—
at $0.12/hr cheapest provider rate
Own on-prem
Electricity per day
—
160W TDP
Rent breakeven on $900 MSRP
— days
· — months
FAQ
Frequently asked.
How much does it cost to rent the Nvidia Quadro RTX 4000 right now?
The cheapest current listing is $0.12/hr on Vast.ai, the only provider listing it right now. Running one around the clock for a month (730 hours) at the cheapest rate costs about $89.
What AI models can the Nvidia Quadro RTX 4000 run?
With 8 GB it's limited to small models: 7–8B at 4-bit, or 3–4B at higher precision, plus embedding and speech models. It's a budget option for experiments rather than serving.
Which models are recommended for the Nvidia Quadro RTX 4000?
97 models in our catalog have a recommended configuration for this card, with the quantization that fits its 8 GB — see the AI models tab.
Why does the Nvidia Quadro RTX 4000 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.
Is the Nvidia Quadro RTX 4000 price a subscription, or does it depend on how much I use the GPU?
Neither. Renting a GPU is on-demand: the rate is per hour the card is allocated to you — whether it is running your job or sitting idle — and most providers bill per second and stop billing the moment you stop the instance. There is no weekly or monthly plan to commit to (the monthly figure we show is simply 730 × the hourly rate), and nothing is metered by usage. Usage-based pricing — per-token rates with limits like TPM or concurrency — is how hosted model APIs charge, which is a different product we track on our AI-model pages, not here.
How is the Nvidia Quadro RTX 4000 price calculated?
We collect listings from each provider's public API or price page — every 5–15 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
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INT4
FP8
FP8
FP8
FP8
FP8
Models that run on this GPU.
可在此显卡上进行推理的开放权重模型,列出加载每个模型所需的最少显卡数量和精度。每天根据模型大小和显卡内存计算。 显示 97 个适配模型中最大的 60 个。
Mistral Nemo 12B
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
48 tok/s
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
?
INT4
Rocinante 12B
by Thedrummer
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
49 tok/s
Llama Guard 4 12B
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
49 tok/s
?
INT4
UnslopNemo 12B
by Thedrummer
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
49 tok/s
Gemma 4 12B It
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
49 tok/s
Gemma 3 12B
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
12B
Throughput
49 tok/s
Llama 3.2 11B Vision
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
11B
Context
128K tokens
Qwen3.5-9B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
10B
Throughput
60 tok/s
Moondream 3.1
by Moondream
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
63 tok/s
Moondream 3 Preview
by Moondream
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
63 tok/s
Gemma 2 9B
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
63 tok/s
Nemotron Nano 9B V2
by Nvidia
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
65 tok/s
Ministral 3 8B 2512
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
65 tok/s
granite-4.2-8b
by IBM Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
66 tok/s
Granite 4.1 8B
by IBM Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
66 tok/s
Qwen3 VL 8B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
66 tok/s
Qwen3 VL 8B Thinking
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
9B
Throughput
66 tok/s
LFM2.5-8B-A1B
by Liquid AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
69 tok/s
Rnj 1 Instruct
by Essential AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
70 tok/s
?
INT4
UI-TARS 7B
by ByteDance (Seed team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
70 tok/s
Qwen 3 8B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
71 tok/s
Stable Diffusion 3.5 Large
by Stability AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Hy-MT2-7B
by Tencent
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Molmo 7B D 0924
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Llama 3 8B Instruct
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Meta Llama 3.1 8B
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Llama 3.1 8B
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
IBM Granite Code 8B
by IBM Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Cogito V1 Preview Llama 8B
by Deepcogito
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Qwen3 8B Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
?
INT4
Hermes 2 Pro - Llama-3 8B
by Nous Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
?
INT4
Aion-RP 1.0 (8B)
by Aion Labs
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
?
INT4
Hermes 3 8B
by Nous Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Llama Guard 3 8B
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
?
INT4
Llama 3 8B Lunaris
by Sao10k
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Ministral 8B
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
IBM Granite 3.1 8B
by IBM Research
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Gemma 4 E4B-it
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
73 tok/s
Qwen2.5 7B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
77 tok/s
Qwen 2 (7B)
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
77 tok/s
Qwen 2.5 7B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
77 tok/s
DeepSeek R1 Distill Qwen 7B
by DeepSeek
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Throughput
77 tok/s
LLaVA 7B
by LLaVA Project
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
8B
Context
4K tokens
OLMo 3 7B
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
80 tok/s
Mistral 7B v0.3
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
80 tok/s
Mistral 7B v0.1
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
80 tok/s
Mistral 7B v0.2
by Mistral AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
80 tok/s
meta-llama/Llama-2-7b-chat-hf
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
83 tok/s
Code Llama 7B
by Meta AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
83 tok/s
Reka Edge
by Rekaai
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
83 tok/s
?
INT4
CodeLLaMa 7B Instruct Solidity
by Alfredpros
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
83 tok/s
OLMo 7B
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
83 tok/s
DeepSeek Coder 6.7B
by DeepSeek
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
7B
Throughput
44 tok/s
Gemma 4 E2B-it
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
5B
Throughput
57 tok/s
?
FP8
Arize AI Qwen 2 1.5B Instruct
by Arize-ai
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
5B
Throughput
58 tok/s
Tev1 4B Experimental
by Together AI
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
5B
Throughput
63 tok/s
Qwen3.5-4B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
5B
Throughput
63 tok/s
Gemma 3 4B
by Google DeepMind
Required GPUs
1× Nvidia Quadro RTX 4000
VRAM 总量
8 GB
Parameters
4B
Throughput
68 tok/s
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →