Najemite GPU NVIDIA GTX 1660 S na uro
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.
Specifikacije
VRAM na GPU
Arhitektura
Računska zmogljivost
Računska zmogljivost FP32
Pasovna širina pomnilnika
Omejitev moči
Vrednosti, ki jih za trenutno navedene stroje sporoča ponudnik infrastrukture; dejanska zmogljivost se razlikuje glede na stroj.
Razpoložljive konfiguracije
Zaloga in cene v živo, posodobljeni nenehno. Končna cena se potrdi, preden naročite.
Nalagam cene v živo…
Za kaj je GTX 1660 S primeren
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.
Ali je to pravi GPU za vas?
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.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| GTX 1660 S | 6 GB | Turing | ≈ 3.6 TFLOPS | — | |
| GTX 1660 Ti | 6 GB | Turing | ≈ 5.3 TFLOPS | — | Podrobnosti |
| GTX 1070 Ti | 8 GB | Pascal | ≈ 7.4 TFLOPS | — | Podrobnosti |
| RTX 2060S | 8 GB | Turing | ≈ 7.5 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
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.
Najamite GTX 1660 S po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite GTX 1660 S