consumer
Louer Nvidia RTX 2060 Super.
Turing
8GB VRAM
175W
From $0.12/hr
Per hour
$0.12
Per day
$2.76
Per week
$19.35
Per month
$83
Price history
Daily median across providers.
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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
—
175W TDP
Rent breakeven on $399 MSRP
— days
· — months
FAQ
Frequently asked.
How is the Nvidia RTX 2060 Super price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia RTX 2060 Super cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia RTX 2060 Super?
Depends on the model size. With 8GB of VRAM you can fine-tune 7B models with QLoRA or run inference on 7B–13B models comfortably.
Spot vs on-demand on the Nvidia RTX 2060 Super — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia RTX 2060 Super?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia RTX 2060 Super price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
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 2060 Super.
Mistral Nemo 12B
by Mistral AI
Required GPUs
1× Nvidia RTX 2060 Super
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
Gemma 3 12B
by Google DeepMind
Required GPUs
1× Nvidia RTX 2060 Super
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia RTX 2060 Super
Total VRAM
8 GB
Parameters
12B
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia RTX 2060 Super
Total VRAM
8 GB
Parameters
12B
FLUX.1 Pro
by Black Forest Labs
Required GPUs
1× Nvidia RTX 2060 Super
Total VRAM
8 GB
Parameters
12B
Meta: Llama Guard 4 12B
by Meta AI
Required GPUs
1× Nvidia RTX 2060 Super
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 is the Nvidia RTX 2060 Super price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia RTX 2060 Super cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia RTX 2060 Super?
Depends on the model size. With 8GB of VRAM you can fine-tune 7B models with QLoRA or run inference on 7B–13B models comfortably.
Spot vs on-demand on the Nvidia RTX 2060 Super — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia RTX 2060 Super?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia RTX 2060 Super price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.