consumer
Rent Nvidia Nvidia GeForce GTX 1660.
Turing
6GB VRAM
Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How is the Nvidia Nvidia GeForce GTX 1660 price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia GeForce GTX 1660 cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia GeForce GTX 1660?
Depends on the model size. With 6GB of VRAM you can fine-tune 7B models with QLoRA or run inference on 7B–13B models comfortably.
Spot vs on-demand on the Nvidia GeForce GTX 1660 — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia GeForce GTX 1660?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia GeForce GTX 1660 price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
AI models
INT4
INT4
INT4
INT4
INT4
INT4
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia Nvidia GeForce GTX 1660.
Gemma 2 9B
by Google DeepMind
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
8K tokens
Gemma 2 9B It
by Google DeepMind
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
8K tokens
Nvidia Nemotron Nano 9B V2
by Nvidia
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
131K tokens
GLM-4.7
by Zhipu AI
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
203K tokens
Qwen: Qwen3.5-9B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
262K tokens
Qwen3.5 9B Fp8
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce GTX 1660
Total VRAM
6 GB
Parameters
9B
Context
262K tokens
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How is the Nvidia Nvidia GeForce GTX 1660 price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia GeForce GTX 1660 cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia GeForce GTX 1660?
Depends on the model size. With 6GB of VRAM you can fine-tune 7B models with QLoRA or run inference on 7B–13B models comfortably.
Spot vs on-demand on the Nvidia GeForce GTX 1660 — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia GeForce GTX 1660?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia GeForce GTX 1660 price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.