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Наемете NVIDIA RTX A2000 GPU на почасова база

The NVIDIA RTX A2000 is a compact Ampere-generation workstation GPU designed for entry-level compute and graphics workloads on ONIE. It pairs 6 GB of VRAM and a 70 W power profile with about 11.2 TFLOPS of single-precision performance and about 247 GB/s of memory bandwidth. With CUDA compute capability 8.6, this card supports modern AI frameworks for lightweight development and testing.

Наемете RTX A2000

Спецификации

VRAM на GPU

6 GB

Архитектура

NVIDIA Ampere

Изчислителна способност

8.6

FP32 изчисления

≈ 11.2 TFLOPS

Пропускателна способност на паметта

≈ 247 GB/s

Лимит на мощността

70 W

Стойностите са предоставени от доставчика на инфраструктурата за машините, които са в момента в списъка; реалната производителност варира в зависимост от машината.

Налични конфигурации

Наличността и цените са в реално време и се обновяват непрекъснато. Крайната цена се потвърждава, преди да поръчате.

Зареждане на цените в реално време…

За какво е подходящ RTX A2000

Code Prototyping and Debugging

Develop and test CUDA and PyTorch scripts on an Ampere architecture with compute capability 8.6 before scaling up to larger hardware.

Compact Language Model Inference

Run small, heavily quantized language models using Ollama or vLLM within the 6 GB VRAM limit.

Basic Image Generation

Execute lightweight diffusion pipelines in ComfyUI that are optimized to fit inside a 6 GB memory footprint.

Workstation Rendering and CAD

Handle light rendering tasks and graphics workflows leveraging about 247 GB/s of memory bandwidth.

Подходящ ли е този GPU за вас?

Choose the RTX A2000 for low-overhead code debugging, environment setup, and running compact models that fit into 6 GB of VRAM. If your workload involves training, fine-tuning, or running larger unquantized models, select a workstation or datacenter GPU with higher memory capacity and compute throughput.

Сравнете с подобни GPU

GPUVRAM на GPUАрхитектураFP32 изчисленияОт / часПодробности
RTX A20006 GBAmpere≈ 11.2 TFLOPS—
GTX 1080 Ti11 GBPascal≈ 11 TFLOPS—Подробности
RTX 2070S8 GBTuring≈ 8.8 TFLOPS—Подробности
Titan Xp12 GBPascal≈ 11.7 TFLOPS—Подробности

Често задавани въпроси

Is the RTX A2000 suitable for LLM inference or fine-tuning?

With 6 GB of VRAM and about 11.2 TFLOPS of compute, the RTX A2000 is limited to inference on very small, quantized models using tools like Ollama. For fine-tuning or running larger language models, you should choose a GPU with significantly more VRAM.

Can I use this GPU for image generation?

Yes, you can run basic image generation workflows using the ComfyUI template, provided the models and resolutions are configured to stay within the 6 GB memory ceiling. Heavier diffusion pipelines and high-resolution generations require a GPU with a larger memory buffer.

How does the RTX A2000 compare to larger Ampere workstation GPUs?

The RTX A2000 sits at the entry point of the Ampere workstation line with 6 GB of VRAM and a 70 W thermal design power. Stepping up to higher-tier Ampere workstation models provides more VRAM and greater memory bandwidth than the about 247 GB/s offered here, while preserving CUDA compute capability 8.6 compatibility.

How do billing and access work on ONIE?

Instances are billed on a per-hour basis while active. You can connect directly via SSH access and deploy pre-configured templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.

Наемете RTX A2000 на час

Създайте акаунт, изберете конфигурация и се свържете през SSH. Таксуването спира, когато изтриете GPU-то.

Наемете RTX A2000

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