workstation
Thuê Nvidia RTX A2000 Laptop GPU.
Ampere
12GB 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 A2000 Laptop GPU?
No provider has listed a Nvidia RTX A2000 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 A2000 Laptop GPU run?
With 12 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 RTX A2000 Laptop GPU?
6 models in our catalog have a recommended configuration for this card, with the quantization that fits its 12 GB — see the AI models tab.
Why does the Nvidia RTX A2000 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.
How is the Nvidia RTX A2000 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.
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 A2000 Laptop GPU.
Llama 4 Scout 17B 16E Instruct Fp8 Lora
by Meta AI
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
17B
Context
10.5M tokens
Llama 4 Scout Instruct (17Bx16E)
by Meta AI
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
17B
Context
1M tokens
Llama 4 Maverick Instruct (17Bx128E) FP8
by Meta AI
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
17B
Context
1M tokens
Llama 4 Scout (17Bx16E)
by Meta AI
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
17B
Context
262K tokens
DeepSeek Coder V2 Lite
by DeepSeek
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
16B (2B active)
Context
128K tokens
DeepSeek R1 Distill Qwen 14B
by DeepSeek
Required GPUs
1× Nvidia RTX A2000 Laptop GPU
Total VRAM
12 GB
Parameters
15B
Context
128K 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 RTX A2000 Laptop GPU?
No provider has listed a Nvidia RTX A2000 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 A2000 Laptop GPU run?
With 12 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 RTX A2000 Laptop GPU?
6 models in our catalog have a recommended configuration for this card, with the quantization that fits its 12 GB — see the AI models tab.
Why does the Nvidia RTX A2000 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.
How is the Nvidia RTX A2000 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.