Изнајмите NVIDIA GTX 1660 S GPU по сату
The NVIDIA GTX 1660 S is an entry-level consumer GPU built on the Turing architecture, featuring 6 GB of VRAM and a 125 W power envelope. It provides about 3.6 TFLOPS of single-precision compute and about 277 GB/s of memory bandwidth with compute capability 7.5. Rent this instance on ONIE with per-hour billing, SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
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 GTX 1660 S добар
Code Development and Debugging
Test and validate PyTorch and CUDA pipelines on a Turing architecture card before deploying to larger compute instances.
Small Language Model Inference
Run compact quantized language models using Ollama or vLLM within the 6 GB VRAM limit.
Basic Image Generation
Execute standard resolution image synthesis workflows in ComfyUI that fit comfortably inside a 6 GB memory buffer.
Lightweight Model Training
Train small neural networks, classical machine learning models, and introductory deep learning projects.
Да ли је то прави GPU за вас?
Choose the GTX 1660 S for budget-conscious development, code testing, and lightweight inference tasks that fit within 6 GB of VRAM. Opt for a GPU with more memory and higher compute throughput if you need to fine-tune modern foundation models or run large unquantized workloads, as this is already a compact entry-level option.
Упоредите са сличним GPU-овима
Често постављана питања
Is the GTX 1660 S suitable for LLM inference or fine-tuning?
With 6 GB of VRAM and about 277 GB/s of memory bandwidth, it is limited to running very compact, heavily quantized language models for basic inference. For fine-tuning or running larger models, you should select a GPU with a larger memory capacity.
Does this Turing GPU support modern CUDA software?
Yes, the GTX 1660 S supports compute capability 7.5, which is compatible with standard PyTorch/CUDA environments. However, as a consumer GTX-series card, it focuses on standard single-precision compute at about 3.6 TFLOPS rather than specialized datacenter features.
Can I use the GTX 1660 S for image generation in ComfyUI?
Yes, you can deploy a ready ComfyUI template on ONIE to generate standard-resolution images. Complex pipelines with multiple control networks or larger foundation models will require upgrading to a card with more than 6 GB of VRAM.
How do billing and access work for this instance?
ONIE provides per-hour billing so you only pay for the time your instance is active. You can connect directly via SSH access or launch pre-configured templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Изнајмите GTX 1660 S по сату
Креирајте налог, изаберите конфигурацију и повежите се преко SSH-а. Наплата престаје када обришете GPU.
Изнајмите GTX 1660 S