Изнајмите NVIDIA RTX 3070 GPU по сату
The NVIDIA RTX 3070 is a consumer-segment Ampere architecture GPU equipped with 8 GB of VRAM and a 220 W TDP. On ONIE, this card provides about 19.8 TFLOPS of single-precision compute and about 386 GB/s of memory bandwidth. With compute capability 8.6, it serves as a practical option for development, prototyping, and lightweight inference tasks.
Спецификације
VRAM по GPU-у
Архитектура
Compute capability
FP32 рачунање
Меморијска пропусност
Ограничење снаге
Вредности које пријављује добављач инфраструктуре за тренутно наведене машине; стварне перформансе се разликују од машине до машине.
Доступне конфигурације
Актуелне залихе и цене, ажурирају се непрекидно. Коначна цена се потврђује пре наручивања.
Учитавање цена у живо…
За шта је RTX 3070 добар
Lightweight LLM Inference
Run quantized small language models using ready Ollama or vLLM templates within the 8 GB VRAM envelope.
Image Generation Workflows
Generate standard-resolution images and test node workflows using the pre-configured ComfyUI template.
PyTorch Code Prototyping
Develop, debug, and verify machine learning scripts on Ampere hardware with compute capability 8.6 before scaling up.
Batch Data Processing
Utilize about 19.8 TFLOPS of single-precision performance and about 386 GB/s memory bandwidth for GPU-accelerated data pipelines.
Да ли је то прави GPU за вас?
Choose the RTX 3070 for code testing, lightweight inference, and small-scale image generation that fits comfortably inside 8 GB of memory. Select a GPU with more VRAM for fine-tuning or large model weights, or step down to an entry-level card if your workload requires minimal compute.
Упоредите са сличним GPU-овима
Често постављана питања
Is the RTX 3070 suitable for LLM inference and fine-tuning?
With 8 GB of VRAM, the RTX 3070 can handle inference for small, quantized language models using templates like Ollama or vLLM. For full fine-tuning or running larger models, you should choose a GPU with a larger memory capacity.
How do I connect to my RTX 3070 instance on ONIE?
You can connect directly via SSH access for command-line workflows or launch pre-configured templates including PyTorch/CUDA, ComfyUI, Ollama, and vLLM. Billing is calculated on a per-hour basis while your instance is active.
What CUDA features does the RTX 3070 support?
As an Ampere generation consumer GPU, the RTX 3070 supports compute capability 8.6. This allows it to run modern PyTorch/CUDA workloads that fit within its 8 GB memory limit.
How does the RTX 3070 compare to higher-tier Ampere GPUs?
The RTX 3070 delivers about 19.8 TFLOPS of single-precision compute and about 386 GB/s of memory bandwidth at a 220 W TDP. Stepping up to higher-tier Ampere consumer or workstation GPUs provides increased VRAM capacity and higher memory bandwidth for heavier workloads.
Изнајмите RTX 3070 по сату
Креирајте налог, изаберите конфигурацију и повежите се преко SSH-а. Наплата престаје када обришете GPU.
Изнајмите RTX 3070