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Nvidia logo Thuê Nvidia RTX 4090 Laptop GPU.

Ada Lovelace 16GB VRAM
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 much does it cost to rent the Nvidia RTX 4090 Laptop GPU?
No provider has listed a Nvidia RTX 4090 Laptop GPU in the last 24 hours, so there is no current price. Listings for older or less common cards come and go; the price history below shows when it was last available.
What AI models can the Nvidia RTX 4090 Laptop GPU run?
With 16 GB it runs 7–8B models at INT8 (or FP16 with short contexts) and 13–14B at 4-bit. It suits single-model inference, embeddings and QLoRA fine-tuning of 7B models.
Which models are recommended for the Nvidia RTX 4090 Laptop GPU?
6 models in our catalog have a recommended configuration for this card, with the quantization that fits its 16 GB — see the AI models tab.
Why does the Nvidia RTX 4090 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.
Is the Nvidia RTX 4090 Laptop GPU price a subscription, or does it depend on how much I use the GPU?
Neither. Renting a GPU is on-demand: the rate is per hour the card is allocated to you — whether it is running your job or sitting idle — and most providers bill per second and stop billing the moment you stop the instance. There is no weekly or monthly plan to commit to (the monthly figure we show is simply 730 × the hourly rate), and nothing is metered by usage. Usage-based pricing — per-token rates with limits like TPM or concurrency — is how hosted model APIs charge, which is a different product we track on our AI-model pages, not here.
How is the Nvidia RTX 4090 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.