Închiriați GPU NVIDIA GTX 1660 S pe oră
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.
Specificații
VRAM per GPU
Arhitectură
Capacitate de calcul
Calcul FP32
Lățime de bandă a memoriei
Limită de putere
Valorile sunt raportate de furnizorul de infrastructură pentru mașinile listate în prezent; performanța reală variază de la o mașină la alta.
Configurații disponibile
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Pentru ce este potrivit GTX 1660 S
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.
Este GPU-ul potrivit pentru dumneavoastră?
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.
Comparați cu GPU-uri similare
Întrebări frecvente
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.
Închiriați GTX 1660 S pe oră
Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.
Închiriați GTX 1660 S