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NVIDIA RTX 4080 cloud GPU rental

Rent an NVIDIA RTX 4080 cloud GPU from $0.292 per hour with 16 GB of GDDR6X at 717 GB/s of memory bandwidth. FastInfra bills pods per minute with no commitment, so a one-hour experiment costs $0.292 and you stop paying the moment you delete the pod. Run 1 to 2 GPUs per pod, connect over SSH or JupyterLab, and see the exact price before you deploy.

Value $0.292 / GPU-hr 16 GB GDDR6X

Prices synced November 3, 2026 · billed per minute

At a glance

RTX 4080 specs and pricing

On-demand from
$0.292
per GPU-hour
GPU memory
16 GB
GDDR6X
Memory bandwidth
717 GB/s
vendor spec
Architecture
Ada Lovelace
Consumer
Max power
320 W
TDP / TGP
GPUs per pod
1–2
32 GB max VRAM
Interconnect
PCIe 4.0
vendor spec
Launched
2022
first availability

The NVIDIA RTX 4080 is a consumer Ada Lovelace GPU with 16 GB of GDDR6X at 717 GB/s of memory bandwidth. On FastInfra it is a good fit for small-model inference, embeddings, prototyping and CI workloads. As a rule of thumb, one RTX 4080 holds the weights of a model of about 6B parameters at 16-bit precision, or about 25B with 4-bit quantization, after leaving room for the KV cache.

The RTX 4080 runs on the Value tier, lower-cost community hosts, at $0.292 per GPU-hour.

Pricing

RTX 4080 price per hour by GPU count

Live FastInfra prices per pod-hour. Pods bill per minute, so you pay only for the minutes a pod exists.

RTX 4080 hourly price by number of GPUs
Pod sizeTotal VRAM Value / hr Month (730 h, lowest)
1× RTX 4080 16 GB $0.292 $213
2× RTX 4080 32 GB $0.584 $426

What an RTX 4080 costs over time

One GPU at the lowest on-demand rate ($0.292/hr).

RTX 4080 cost by duration
DurationOn-demand
1 hour $0.292
8-hour working day $2.34
24 hours $7.01
1 week (168 hours) $49.06
1 month (730 hours) $213
Model fit

Which LLMs fit on the RTX 4080?

GPUs needed to hold the model weights with about 20% of VRAM left for the KV cache. Rule of thumb only: long contexts and big batches need more.

RTX 4080 GPUs needed per model size and precision
Model sizeExamplesFP16 / BF168-bit4-bit
7–8BLlama 3.1 8B, Qwen3 8B, Mistral 7B2 GPUs1 GPU1 GPU
12–14BGemma 3 12B, Qwen3 14B, Phi-4Needs more GPUs2 GPUs1 GPU
27–32BGemma 3 27B, Qwen3 32BNeeds more GPUsNeeds more GPUs2 GPUs
70BLlama 3.3 70BNeeds more GPUsNeeds more GPUsNeeds more GPUs

Best for

Small-model inference, embeddings, prototyping and CI workloads.

About the Ada Lovelace architecture

Ada Lovelace GPUs have fourth-generation Tensor Cores with FP8 support and large L2 caches. They are a cost-efficient choice for inference, Stable Diffusion and ComfyUI, video generation, rendering and LoRA fine-tuning, where memory capacity matters more than the multi-GPU interconnect of datacenter parts.

Only need inference?

If you want to call an open model such as Llama, Qwen, DeepSeek or GPT-OSS rather than manage a server, the pay-per-token inference API is often cheaper than keeping a GPU busy around the clock. It is OpenAI-compatible and uses the same account and wallet as your pods. Browse every model with live prices.

Alternatives

RTX 4080 vs similar GPUs

Live lowest on-demand price per GPU-hour, and price per GB of VRAM.

GPUs similar to the RTX 4080
GPUVRAMArchitectureFrom / hrPer GB-hr
RTX 4080 (this page) 16 GB Ada Lovelace $0.292 $0.018
NVIDIA RTX A4000 16 GB Ampere $0.184 $0.012
NVIDIA Tesla V100 16 GB Volta $0.206 $0.013
NVIDIA V100 SXM2 16 GB Volta $0.249 $0.016
NVIDIA RTX 2000 Ada 16 GB Ada Lovelace $0.26 $0.016
NVIDIA RTX 4080 SUPER 16 GB Ada Lovelace $0.303 $0.019
NVIDIA RTX 5080 16 GB Blackwell $0.422 $0.026
FAQ

RTX 4080 rental — frequently asked questions

How much does it cost to rent an NVIDIA RTX 4080 per hour?

$0.292 per GPU-hour on demand. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $213 per GPU at the lowest on-demand rate. Prices sync from live capacity and are shown before you deploy.

How much VRAM does the NVIDIA RTX 4080 have?

16 GB of GDDR6X at 717 GB/s of memory bandwidth. The chip is rated at up to 320 W. A pod with 2 GPUs gives 32 GB of combined VRAM for tensor- or pipeline-parallel workloads.

What size LLM can I run on an NVIDIA RTX 4080?

Roughly 6B parameters at FP16 or BF16, 12B at 8-bit and 25B at 4-bit on a single GPU, reserving about 20% of VRAM for the KV cache and activations. Mixture-of-experts models need memory for all experts, not only the active ones. Long contexts and large batches need more headroom.

Is the NVIDIA RTX 4080 billed per hour or per minute?

Per minute. The hourly rate is divided by 60 and charged for every minute the pod exists. Attached volumes bill per GB-month and continue while a pod is stopped; delete the pod to stop all charges. There is no minimum term or reservation fee.

How do I rent an NVIDIA RTX 4080 on FastInfra?

Create an account, add prepaid credit, open the GPU configurator and choose the RTX 4080, the tier, the GPU count, a container template and storage. The configurator shows the hourly and monthly price, then deploys a pod you reach over SSH or JupyterLab within minutes.

Can I rent multiple RTX 4080 GPUs in one pod?

Yes, up to 2 per pod. The price scales linearly: 2 GPUs cost $0.584 per hour on Value.

Is there a cheaper GPU than the RTX 4080 with the same VRAM?

Yes. The NVIDIA RTX A4000 has 16 GB and starts at $0.184 per hour. It differs in architecture (Ampere), memory bandwidth and multi-GPU interconnect, so compare throughput for your workload before switching.

Deploy an RTX 4080 in minutes

Price the exact pod, storage and template in the configurator, add credit, and connect over SSH or JupyterLab. Billed per minute, no commitment.