consumer
Nvidia GeForce RTX 4060 mieten.
Ada Lovelace
8GB VRAM
115W
2023
From $0.051/hr
Per hour
$0.051
Per day
$1.22
Per week
$8.55
Per month
$37
Provider spread
3 providers ·
up to 58% cheaper at the low end
Cheapest · $0.051/hr on Nosana
Median $0.11/hr
Most expensive · $0.12/hr on Clore.ai
Price history
Daily median across providers.
Loading...
Where to rent it
All providers carrying this GPU.
Buy vs rent
Should you rent or own?
Your usage
Rent on cloud
Per day
—
Per month
—
at $0.051/hr cheapest provider rate
Own on-prem
Electricity per day
—
115W TDP
AI models that fit
See all 30 →
Run these on this GPU.
- Stable Diffusion 1.5 1× · fp16
- Llama 3.2 3B 1× · fp16
- Mistral Nemo 12B 1× · int4
Cloud instances
See all 2 →
Hyperscaler bundles.
Pre-configured on 1 clouds — from $0.11/hr total
($0.11/hr per GPU).
FAQ
Frequently asked.
What's a cloud instance bundle for the Nvidia GeForce RTX 4060?
A pre-configured VM that pairs the Nvidia GeForce RTX 4060 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.
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 GeForce RTX 4060?
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 GeForce RTX 4060 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).
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
$0.11/hr
Lowest $/hr per GPU
$0.11/hr
Providers
1
Instance shapes
2
| Provider | Instance | GPUs | vCPU | RAM | Disk | $/hr | $/hr per GPU | |
|---|---|---|---|---|---|---|---|---|
| community-1x | 1× | — | — | — | $0.11/hr | $0.11/hr | ||
| community-1x | 1× | — | — | — | $0.11/hr | $0.11/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 GeForce RTX 4060?
A pre-configured VM that pairs the Nvidia GeForce RTX 4060 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.
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 GeForce RTX 4060?
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 GeForce RTX 4060 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
FP16
FP16
INT4
INT4
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
INT4
INT4
INT4
INT4
FP8
FP8
FP8
FP8
FP8
FP8
FP8
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 GeForce RTX 4060.
Stable Diffusion 1.5
by Stability AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
1B
Runs on practically anything from 2020 onward.
Llama 3.2 3B
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
128K tokens
Mistral Nemo 12B
by Mistral AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
Gemma 3 12B
by Google DeepMind
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
128K tokens
Stable Diffusion 3.5 Medium
by Stability AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Qwen 2.5 3B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
33K tokens
Gemma 2 2B
by Google DeepMind
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
8K tokens
Mistral: Ministral 3 3B 2512
by Mistral AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
131K tokens
IBM: Granite 4.0 Micro
by IBM Research
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
131K tokens
Qwen2.5 3B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
33K tokens
Meta Llama 3.2 3B Instruct
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
131K tokens
granite-4.2-3b
by IBM Research
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
3B
Context
131K tokens
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
FLUX.1 Pro
by Black Forest Labs
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Meta: Llama Guard 4 12B
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
164K tokens
Arize AI Qwen 2 1.5B Instruct
by Togethercomputer
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
5B
Context
33K tokens
Qwen 2 (1.5B)
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
5B
Context
33K tokens
Qwen 2 Instruct (1.5B)
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
5B
Context
33K tokens
Qwen2.5 1.5B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
5B
Context
131K tokens
Qwen2.5 1.5B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
5B
Context
33K tokens
Qwen3 0.6B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
6B
Context
41K tokens
Qwen3 0.6B Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
6B
Context
33K tokens
Llama 3.2 11B Vision
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
11B
Context
128K tokens
?
INT4
TheDrummer: UnslopNemo 12B
by Thedrummer
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
33K tokens
?
INT4
TheDrummer: Rocinante 12B
by Thedrummer
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
33K tokens
nim/nv-mistralai/mistral-nemo-12b-instruct
by Nvidia
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
Context
16K tokens
nim/meta/llama-3.2-11b-vision-instruct
by Nvidia
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
11B
Context
16K tokens
Llama-3.2-11B-Vision-Instruct
by Meta AI
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
11B
Context
131K tokens
Gemma 4 12B It
by Google DeepMind
Required GPUs
1× Nvidia GeForce RTX 4060
Total VRAM
8 GB
Parameters
12B
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.
What's a cloud instance bundle for the Nvidia GeForce RTX 4060?
A pre-configured VM that pairs the Nvidia GeForce RTX 4060 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.
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 GeForce RTX 4060?
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 GeForce RTX 4060 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).