consumer
Rent Nvidia RTX 4080 Super.
Ada Lovelace
16GB VRAM
320W
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How is the Nvidia RTX 4080 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 4080 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 4080 Super?
Depends on the model size. With 16GB 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 4080 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 4080 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 4080 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 4080 Super.
LFM2-24B-A2B
by Togethercomputer
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
33K tokens
Sarvam M
by Sarvamai
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
33K tokens
TheDrummer: Cydonia 24B V4.1
by Thedrummer
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
131K tokens
Mistral: Mistral Small 3.2 24B
by Mistral AI
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
128K tokens
Mistral: Mistral Small 3.1 24B
by Mistral AI
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
128K tokens
Mistral: Mistral Small 3
by Mistral AI
Required GPUs
1× Nvidia RTX 4080 Super
Total VRAM
16 GB
Parameters
24B
Context
33K 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 4080 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 4080 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 4080 Super?
Depends on the model size. With 16GB 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 4080 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 4080 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 4080 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.