workstation

Thuê Nvidia RTX A2000 12GB.

Name: Nvidia RTX A2000 12GB
Brand: Nvidia
SKU: nvidia-rtx-a2000-12gb

Ampere 12GB VRAM 70W 2021 From $0.084/hr

Per hour

$0.084

Per day

$2.03

Per week

$14.20

Per month

$61

Price history

Daily median across providers.

Where to rent it

All providers carrying this GPU.

Provider	$/hr	Range	Offers	30d trend	Updated
Theta EdgeCloud	$0.084/hr	$0.065/hr–$0.10/hr	2	↓ 32%	27 minutes	Launch ↗

Buy vs rent

Should you rent or own?

Your usage

Hours per day Electricity rate ($/kWh)

Rent on cloud

Per day

—

Per month

—

at $0.084/hr cheapest provider rate

Own on-prem

Electricity per day

—

70W TDP

AI models that fit See all 107 →

Run these on this GPU.

DeepSeek Coder V2 Lite 1× · int4
Qwen2.5 14B 1× · int4
Qwen3 14B Base 1× · int4

Cloud instances See all 1 →

Hyperscaler bundles.

Pre-configured on 1 clouds — from $0.08/hr total ($0.084/hr per GPU).

GPU

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Specs

Manufacturer: Nvidia
Architecture: Ampere
Tier: Workstation
VRAM: 12GB
Bandwidth: 288 GB/s
TDP: 70 W
FP16: 31.95 TFLOPS
Released: 2021

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Rent it now

Theta EdgeCloud

$0.084/hr Launch ↗

Phản hồi

Trang này có hữu ích không?

Cloud instance options

Pre-configured instances on hyperscalers.

Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).

Cheapest bundle

$0.08/hr

Lowest $/hr per GPU

$0.084/hr

Providers

Instance shapes

Provider	Instance	GPUs	vCPU	RAM	Disk	$/hr	$/hr per GPU
Theta EdgeCloud	community-1x	1×	—	—	—	$0.08/hr	$0.084/hr	Launch ↗

Looking for the cheapest rate?

Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper. See raw rental rates on the Overview tab →

AI models

Models that run on this GPU.

Các mô hình mở trọng số chạy được trên card này để suy luận, với số card ít nhất và độ chính xác cần để tải mỗi mô hình. Tính hằng ngày từ kích thước mô hình và bộ nhớ của card. Hiển thị 60 mô hình lớn nhất trong 107 mô hình chạy được.

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.

What AI models can I run on a Nvidia RTX A2000 12GB?

The list above shows open-weights models whose memory need fits this card: on one card when the model uses at least a quarter of its 12 GB, or on 2, 4 or 8 of them when it is too large for one. Each row gives the fewest cards and the precision (FP16, FP8 or INT4) that load it.

What's the VRAM minimum to run a model on the Nvidia RTX A2000 12GB?

We count the weights (parameters × bytes per weight: FP16 = 2, FP8 = 1, INT4 = 0.5), add the KV cache for an 8K-token context, and add 15% for the runtime. A model fits when that is within 90% of the cards' memory. A 70B model needs about 164 GB at FP16 and about 43 GB at INT4. A longer context needs more.

How does quantization (FP16 vs FP8 vs INT4) affect what fits?

Lower-precision quantization shrinks the memory footprint nearly linearly with the bit count. The trade-off is output quality: FP16 is the reference, FP8 is usually indistinguishable for most prompts, INT8 introduces small quality losses, INT4 is noticeably degraded on reasoning-heavy tasks but fine for chat. The badge on each row tells you which level the recommendation assumes.

Can I fine-tune on the Nvidia RTX A2000 12GB or only do inference?

The rows here are for inference. Full fine-tuning needs several times more memory than inference at the same model size, because gradients, optimizer state and activations all live in memory. LoRA and QLoRA cut that a lot. The fine-tune cost tool sizes a run for you.

How are these GPU counts worked out?

We compute them every day from the model's parameter count and the card's memory, with the formula above. They are estimates, not tests we ran. Tokens per second, where shown, is an estimate from the card's memory bandwidth on one card.

Thuê Nvidia RTX A2000 12GB.

Daily median across providers.

All providers carrying this GPU.

Should you rent or own?

Run these on this GPU.

Hyperscaler bundles.

Pre-configured instances on hyperscalers.

Models that run on this GPU.

DeepSeek Coder V2 Lite

Qwen2.5 14B

Qwen3 14B Base

Cogito V1 Preview Qwen 14B

Qwen 3 14B

Qwen 2.5 14B

DeepSeek R1 Distill Qwen 14B

Phi-4

Deepcoder 14B Preview

Ministral 3 14B 2512

Phi-3 Medium

Code Llama 13B

MythoMax 13B

LLaVA 13B

Baichuan2-13B

ReMM SLERP 13B

Mistral Nemo 12B

FLUX.1 Dev

FLUX.1 Schnell

Rocinante 12B

Llama Guard 4 12B

UnslopNemo 12B

Gemma 4 12B It

Gemma 3 12B

Llama 3.2 11B Vision

Qwen3.5-9B

Moondream 3.1

Moondream 3 Preview

Gemma 2 9B

Nemotron Nano 9B V2

Ministral 3 8B 2512

granite-4.2-8b

Granite 4.1 8B

Qwen3 VL 8B Instruct

Qwen3 VL 8B Thinking

LFM2.5-8B-A1B

Rnj 1 Instruct

UI-TARS 7B

Qwen 3 8B

Stable Diffusion 3.5 Large

Hy-MT2-7B

Molmo 7B D 0924

Llama 3 8B Instruct

Meta Llama 3.1 8B

Llama 3.1 8B

IBM Granite Code 8B

Cogito V1 Preview Llama 8B

Qwen3 8B Base

Hermes 2 Pro - Llama-3 8B

Aion-RP 1.0 (8B)

Hermes 3 8B

Llama Guard 3 8B

Llama 3 8B Lunaris

Ministral 8B

IBM Granite 3.1 8B

Gemma 4 E4B-it

Qwen2.5 7B

Qwen 2 (7B)

Qwen 2.5 7B

DeepSeek R1 Distill Qwen 7B

AI models on this GPU.