consumer
Nvidia GeForce RTX 3070 mieten.
Ampere
8GB VRAM
220W
2020
From $0.064/hr
Per hour
$0.064
Per day
$1.53
Per week
$10.68
Per month
$46
Provider spread
4 providers ·
up to 56% cheaper at the low end
Cheapest · $0.064/hr on Nosana
Median $0.11/hr
Most expensive · $0.15/hr on Clore.ai
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 $0.064/hr cheapest provider rate
Own on-prem
Electricity per day
—
220W TDP
AI models that fit
See all 6 →
Run these on this GPU.
- Mistral Nemo 12B 1× · int4
- Gemma 3 12B 1× · int4
- FLUX.1 Dev 1× · int4
Cloud instances
See all 21 →
Hyperscaler bundles.
Pre-configured on 1 clouds — from $0.09/hr total
($0.091/hr per GPU).
FAQ
Frequently asked.
How much does it cost to rent the Nvidia GeForce RTX 3070 right now?
The cheapest current listing is $0.064/hr on Nosana, and the median across the 4 providers listing it is $0.13/hr. Running one around the clock for a month (730 hours) at the cheapest rate costs about $46.
What AI models can the Nvidia GeForce RTX 3070 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 GeForce RTX 3070?
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 GeForce RTX 3070 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 GeForce RTX 3070 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.
Cloud instance options
Pre-configured instances on hyperscalers.
Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).
Cheapest bundle
$0.09/hr
Lowest $/hr per GPU
$0.091/hr
Providers
1
Instance shapes
21
| Provider | Instance | GPUs | vCPU | RAM | Disk | $/hr | $/hr per GPU | |
|---|---|---|---|---|---|---|---|---|
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr | ||
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr |
Looking for the cheapest rate?
Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper.
See raw rental rates on the Overview tab →
FAQ
Cloud instances — common questions.
How much does it cost to rent the Nvidia GeForce RTX 3070 right now?
The cheapest current listing is $0.064/hr on Nosana, and the median across the 4 providers listing it is $0.13/hr. Running one around the clock for a month (730 hours) at the cheapest rate costs about $46.
What AI models can the Nvidia GeForce RTX 3070 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 GeForce RTX 3070?
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 GeForce RTX 3070 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 GeForce RTX 3070 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 GeForce RTX 3070.
Mistral Nemo 12B
by Mistral AI
Required GPUs
1× Nvidia GeForce RTX 3070
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
Gemma 3 12B
by Google DeepMind
Required GPUs
1× Nvidia GeForce RTX 3070
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 3070
Total VRAM
8 GB
Parameters
12B
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 3070
Total VRAM
8 GB
Parameters
12B
FLUX.1 Pro
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 3070
Total VRAM
8 GB
Parameters
12B
Meta: Llama Guard 4 12B
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 3070
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 GeForce RTX 3070 right now?
The cheapest current listing is $0.064/hr on Nosana, and the median across the 4 providers listing it is $0.13/hr. Running one around the clock for a month (730 hours) at the cheapest rate costs about $46.
What AI models can the Nvidia GeForce RTX 3070 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 GeForce RTX 3070?
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 GeForce RTX 3070 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 GeForce RTX 3070 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.