consumer
Nvidia RTX 3070 Laptop GPU mieten.
Ampere
8GB VRAM
From $0.17/hr
Per hour
$0.17
Per day
$4.00
Per week
$28.01
Per month
$120
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
FAQ
Frequently asked.
How much does it cost to rent the Nvidia RTX 3070 Laptop GPU right now?
The cheapest current listing is $0.17/hr on Clore.ai, the only provider listing it right now. Running one around the clock for a month (730 hours) at the cheapest rate costs about $122.
What AI models can the Nvidia RTX 3070 Laptop GPU 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 RTX 3070 Laptop GPU?
6 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 RTX 3070 Laptop GPU 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 3070 Laptop GPU 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 3070 Laptop GPU.
Mistral Nemo 12B
by Mistral AI
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
Gemma 3 12B
by Google DeepMind
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
FLUX.1 Pro
by Black Forest Labs
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
Meta: Llama Guard 4 12B
by Meta AI
Required GPUs
1× Nvidia RTX 3070 Laptop GPU
Total VRAM
8 GB
Parameters
12B
Context
164K 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 3070 Laptop GPU right now?
The cheapest current listing is $0.17/hr on Clore.ai, the only provider listing it right now. Running one around the clock for a month (730 hours) at the cheapest rate costs about $122.
What AI models can the Nvidia RTX 3070 Laptop GPU 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 RTX 3070 Laptop GPU?
6 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 RTX 3070 Laptop GPU 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 3070 Laptop GPU 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.