consumer
Alquilar Nvidia GTX 1660 Ti.
Turing
6GB de VRAM
120W
From $0.091/hr
Per hour
$0.091
Per day
$2.18
Per week
$15.29
Per month
$66
Price history
Daily median across providers.
Loading...
Buy vs rent
Should you rent or own?
Your usage
Rent on cloud
Per day
—
Per month
—
at $0.091/hr cheapest provider rate
Own on-prem
Electricity per day
—
120W TDP
Rent breakeven on $279 MSRP
— days
· — months
Cloud instance options
Pre-configured instances on hyperscalers.
Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).
Cheapest bundle
$0.09/hr
Lowest $/hr per GPU
$0.091/hr
Providers
1
Instance shapes
1
| Provider | Instance | GPUs | vCPU | RAM | Disk | $/hr | $/hr per GPU | |
|---|---|---|---|---|---|---|---|---|
| community-1x | 1× | — | — | — | $0.09/hr | $0.091/hr |
Looking for the cheapest rate?
Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper.
See raw rental rates on the Overview tab →
FAQ
Cloud instances — common questions.
What's a cloud instance bundle for the Nvidia GTX 1660 Ti?
A pre-configured VM that pairs the Nvidia GTX 1660 Ti with a fixed amount of vCPU, RAM, and SSD on a hyperscaler (AWS, Google Cloud, Azure, Oracle, Vultr, etc.). You pay one hourly rate for the whole bundle; the per-GPU rate on the table is just the bundle price divided by the GPU count. Like raw GPU rental it is on-demand — billed while the instance runs, no subscription — though hyperscalers also sell reserved or committed-use plans that trade a term commitment for a lower rate.
Why is per-GPU pricing on instances different from raw GPU rental rates?
Hyperscaler bundles include managed networking, premium NVMe storage, an SLA, and 24/7 support. P2P marketplaces (Vast.ai, RunPod community, io.net) skip those line items, which is why their raw GPU rates are often 3–10× cheaper. The trade-off is reliability and integration: a hyperscaler instance plugs into your existing VPC, IAM, and observability stack out of the box.
Which hyperscaler is cheapest for the Nvidia GTX 1660 Ti?
Sort the table by the $/hr per GPU column — the lowest row is the cheapest hyperscaler today. Pricing shifts as providers re-price spot capacity and refresh quotas, so the leader can change week to week. Click Launch on a row to head to that provider's sign-up page (affiliate link, doesn't change the rate you pay).
Can I run my own image or container on these instances?
Yes. All listed hyperscalers expose standard compute APIs — bring your own AMI/image, mount custom volumes, install your own drivers, run any container runtime you like. The bundle just sets the hardware shape; the OS layer is yours to configure.
How do I get the cheapest rate on the Nvidia GTX 1660 Ti overall?
If you can tolerate a P2P marketplace, the Overview tab's "Where to rent it" table usually has the lowest hourly rate by a wide margin. Use a hyperscaler bundle only when you need managed networking, SLAs, or are already inside that cloud's ecosystem (compliance, data-egress costs, IAM).
AI models
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
INT4
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
Models that run on this GPU.
Modelos de pesos abiertos que caben en esta tarjeta para inferencia, con el menor número de tarjetas y la precisión que carga cada uno. Calculado a diario a partir del tamaño del modelo y la memoria de la tarjeta. Se muestran los 60 más grandes de 91 modelos que caben.
Qwen3.5-9B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
10B
Throughput
42 tok/s
Moondream 3.1
by Moondream
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
44 tok/s
Moondream 3 Preview
by Moondream
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
44 tok/s
Gemma 2 9B
by Google DeepMind
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
44 tok/s
Nemotron Nano 9B V2
by Nvidia
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
45 tok/s
Ministral 3 8B 2512
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
45 tok/s
granite-4.2-8b
by IBM Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
46 tok/s
Granite 4.1 8B
by IBM Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
46 tok/s
Qwen3 VL 8B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
46 tok/s
Qwen3 VL 8B Thinking
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
9B
Throughput
46 tok/s
LFM2.5-8B-A1B
by Liquid AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
48 tok/s
Rnj 1 Instruct
by Essential AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
49 tok/s
?
INT4
UI-TARS 7B
by ByteDance (Seed team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
49 tok/s
Qwen 3 8B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
49 tok/s
Stable Diffusion 3.5 Large
by Stability AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Hy-MT2-7B
by Tencent
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Molmo 7B D 0924
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Llama 3 8B Instruct
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Meta Llama 3.1 8B
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Llama 3.1 8B
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
IBM Granite Code 8B
by IBM Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Cogito V1 Preview Llama 8B
by Deepcogito
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Qwen3 8B Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
?
INT4
Hermes 2 Pro - Llama-3 8B
by Nous Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
?
INT4
Aion-RP 1.0 (8B)
by Aion Labs
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
?
INT4
Hermes 3 8B
by Nous Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Llama Guard 3 8B
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
?
INT4
Llama 3 8B Lunaris
by Sao10k
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Ministral 8B
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
IBM Granite 3.1 8B
by IBM Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Gemma 4 E4B-it
by Google DeepMind
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
50 tok/s
Qwen2.5 7B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
53 tok/s
Qwen 2 (7B)
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
53 tok/s
Qwen 2.5 7B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
53 tok/s
DeepSeek R1 Distill Qwen 7B
by DeepSeek
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Throughput
53 tok/s
LLaVA 7B
by LLaVA Project
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
8B
Context
4K tokens
OLMo 3 7B
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
55 tok/s
Mistral 7B v0.3
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
56 tok/s
Mistral 7B v0.1
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
56 tok/s
Mistral 7B v0.2
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
56 tok/s
meta-llama/Llama-2-7b-chat-hf
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
58 tok/s
Code Llama 7B
by Meta AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
58 tok/s
Reka Edge
by Rekaai
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
58 tok/s
?
INT4
CodeLLaMa 7B Instruct Solidity
by Alfredpros
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
58 tok/s
OLMo 7B
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
58 tok/s
DeepSeek Coder 6.7B
by DeepSeek
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
7B
Throughput
60 tok/s
Gemma 4 E2B-it
by Google DeepMind
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
5B
Throughput
79 tok/s
?
FP8
Arize AI Qwen 2 1.5B Instruct
by Arize-ai
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
5B
Throughput
40 tok/s
Tev1 4B Experimental
by Together AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
5B
Throughput
43 tok/s
Qwen3.5-4B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
5B
Throughput
43 tok/s
Gemma 3 4B
by Google DeepMind
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
47 tok/s
Nemotron 3.5 Content Safety
by Nvidia
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
47 tok/s
Phi 4 Mini Instruct
by Microsoft
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
50 tok/s
Qwen 3 4B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
50 tok/s
Qwen3 4B Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
50 tok/s
Qwen3 4B Instruct 2507
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
50 tok/s
Ministral 3 3B 2512
by Mistral AI
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
52 tok/s
Phi-3 Mini
by Microsoft
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
53 tok/s
Phi-3.5 Mini
by Microsoft
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
53 tok/s
granite-4.2-3b
by IBM Research
Required GPUs
1× Nvidia GTX 1660 Ti
VRAM total
6 GB
Parameters
4B
Throughput
55 tok/s
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →