consumer
Thuê Nvidia RTX 3080.
Ampere
10GB VRAM
From $0.025/hr
Per hour
$0.025
Per day
$0.59
Per week
$4.13
Per month
$18
Provider spread
3 providers ·
up to 84% cheaper at the low end
Cheapest · $0.025/hr on Vast.ai
Median $0.12/hr
Most expensive · $0.16/hr on RunPod
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
FAQ
Frequently asked.
How is the Nvidia RTX 3080 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 3080 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 3080?
Depends on the model size. With 10GB 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 3080 — 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 3080?
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 3080 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 3080.
DeepSeek Coder V2 Lite
by DeepSeek
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
16B (2B active)
Context
128K tokens
DeepSeek R1 Distill Qwen 14B
by DeepSeek
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
15B
Context
128K tokens
Qwen 2.5 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
15B
Context
128K tokens
Qwen 3 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
15B
Context
128K tokens
Phi-4
by Microsoft
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
15B
Context
16K tokens
Cogito V1 Preview Qwen 14B
by Deepcogito
Required GPUs
1× Nvidia RTX 3080
Total VRAM
10 GB
Parameters
14B
Context
131K 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 3080 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 3080 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 3080?
Depends on the model size. With 10GB 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 3080 — 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 3080?
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 3080 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.