consumer

租用 Nvidia GeForce RTX 3080 LHR.

Ampere 10GB VRAM

Where to rent it

All providers carrying this GPU.

No fresh prices yet.

AI models that fit See all 94 →

Run these on this GPU.

DeepSeek Coder V2 Lite 1× · int4
DeepSeek R1 Distill Qwen 14B 1× · int4
Stable Diffusion XL 1× · fp16

FAQ

Frequently asked.

How much does it cost to rent the Nvidia GeForce RTX 3080 LHR?

No provider has listed a Nvidia GeForce RTX 3080 LHR 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 GeForce RTX 3080 LHR run?

With 10 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 GeForce RTX 3080 LHR?

94 models in our catalog have a recommended configuration for this card, with the quantization that fits its 10 GB — see the AI models tab.

Why does the Nvidia GeForce RTX 3080 LHR 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 GeForce RTX 3080 LHR 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.

租用 Nvidia GeForce RTX 3080 LHR.

All providers carrying this GPU.

Run these on this GPU.

Frequently asked.

Models that run on this GPU.

DeepSeek Coder V2 Lite

DeepSeek R1 Distill Qwen 14B

Stable Diffusion XL

Llama 3.2 3B

Qwen 3 4B

Gemma 3 4B

Phi-3.5 Mini

Phi-3 Mini

Microsoft: Phi 4 Mini Instruct

Qwen3 4B Base

Gemma 3 4b it

Qwen3 4B Instruct 2507

Qwen3.5-4B

Qwen3.5 4B Lora

Qwen 2.5 14B

Qwen 3 14B

Phi-4

Cogito V1 Preview Qwen 14B

DeepSeek R1 Distill Qwen 7B

Llama 3.1 8B

Mistral 7B v0.3

Mistral 7B v0.2

Mistral 7B v0.1

Qwen 2.5 7B

LLaVA 7B

Code Llama 7B

DeepSeek Coder 6.7B

OLMo 3 7B

OLMo 7B

Hermes 3 8B

IBM Granite 3.1 8B

IBM Granite Code 8B

IBM: Granite 4.1 8B

Reka Edge

Xiaomi: MiMo-V2-Flash

Mistral: Ministral 3 8B 2512

Qwen: Qwen3 VL 8B Thinking

Qwen: Qwen3 VL 8B Instruct

ByteDance: UI-TARS 7B

Morph: Morph V3 Fast

Qwen: Qwen3 8B

AlfredPros: CodeLLaMa 7B Instruct Solidity

Llama Guard 3 8B

AionLabs: Aion-RP 1.0 (8B)

Qwen: Qwen2.5 7B Instruct

Sao10K: Llama 3 8B Lunaris

NousResearch: Hermes 2 Pro - Llama-3 8B

Meta: Llama 3 8B Instruct

Mistral: Mistral 7B Instruct v0.1

Qwen2.5 7B Instruct Turbo

Meta Llama 3 8B Instruct Lite

Nous Hermes 2 Mixtral 8X7B Dpo

nim/meta/llama-3.1-8b-instruct

Cogito V1 Preview Llama 8B

Mixtral 8x7B Instruct V0.1 FP8 Lora

Qwen 2 (7B)

Qwen2.5 7B

Qwen2.5 7B Instruct

Qwen3 1.7B

Qwen3 1.7B Base

Qwen3 8B Base

meta-llama/Llama-2-7b-chat-hf

Qwen3 8B Lora

Meta Llama 3.1 8B Instruct Awq Int4

Meta Llama 3.1 8B Instruct Turbo

Meta Llama 3 8B Instruct

Mistral (7B) Instruct v0.3

Mixtral 8X7b V0.1

nim/mistralai/mixtral-8x7b-instruct-v01

Mixtral-8x7B Instruct v0.1

Meta Llama 3.1 8B

Molmo 7B D 0924

Meta Llama 3 8B Instruct Reference

Qwen3.5-0.8B

L3-8B-Lunaris-v1-Turbo