Rent NVIDIA GTX 1660 S GPU by the hour
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.
Specifications
VRAM per GPU
Architecture
Compute capability
FP32 compute
Memory bandwidth
Power limit
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
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What the GTX 1660 S is good for
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.
Is it the right GPU for you?
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.
Compare with similar GPUs
Frequently asked questions
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.
Rent the GTX 1660 S by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent GTX 1660 S