Ada LovelacePrototyping

Rent NVIDIA RTX 4080

Rent NVIDIA RTX 4080 16GB GPU cloud instances from $0.92/hr. Great for AI inference, Stable Diffusion, model prototyping, and video processing. Deploy instantly on VoltageGPU.

✓ 16 GB GDDR6X for inference workloads✓ Ada Lovelace architecture✓ Great for model prototyping✓ NVENC hardware video encoding
Deploy NowView Pricing

Starting from

$0.92/hr

~$22.08/day

~$662.4/month (24/7)

Deploy RTX 4080

Per-minute billing · No commitment

RTX 4080 Technical Specifications

VRAM

16 GB GDDR6X

Memory Type

GDDR6X

Memory Bandwidth

716.8 GB/s

CUDA Cores

9,728

Tensor Cores

304

FP16 Performance

97.5 TFLOPS

FP32 Performance

48.7 TFLOPS

TDP

320W

Architecture

Ada Lovelace

Interconnect

PCIe 4.0 x16

Included Storage

100 GB NVMe SSD

vCPUs

6 vCPUs

System RAM

24 GB DDR5

Manufacturer

NVIDIA

RTX 4080 Cloud Pricing

See how VoltageGPU compares to other cloud GPU providers.

ProviderHourly RateEst. Monthlyvs VoltageGPU
VoltageGPUYou$0.92$662.4—
RunPod$1.04$74912% cheaper
Vast.ai$0.98$7066% cheaper
Lambda$1.10$79216% cheaper
AWS (g5.xlarge)$1.01$7279% cheaper

Competitor pricing sourced from public pages as of March 2026. Prices may vary.

What Can You Do with the RTX 4080?

Popular workloads and use cases for NVIDIA RTX 4080 cloud instances.

🚀

Inference Endpoints

Serve medium-sized models for real-time inference. The 16 GB VRAM handles most 7B quantized models and all Stable Diffusion variants.

🔬

Model Prototyping

Rapidly iterate on model architectures and hyperparameters. The RTX 4080 offers enough compute for fast experimentation at a lower price point.

🎬

Video Processing

Accelerate video encoding, transcoding, and AI-powered video enhancement with NVENC and Tensor cores.

🖼️

Batch Image Generation

Generate images with Stable Diffusion 1.5, SDXL (at reduced batch size), and other diffusion models cost-effectively.

RTX 4080 Performance Benchmarks

Relative performance scores across common workload categories (B200 = 100).

Training32/100
Inference55/100
Fine-Tuning40/100
Rendering68/100

Deploy RTX 4080 via API

Programmatically launch a RTX 4080 instance with a single API call.

terminal
curl -X POST https://api.voltagegpu.com/v1/pods \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "gpu": "rtx4080",
    "gpu_count": 1,
    "template": "pytorch-2.2",
    "storage_gb": 100,
    "name": "my-rtx4080-instance"
  }'

RTX 4080 — Frequently Asked Questions

Can the RTX 4080 run large language models?+
The RTX 4080 with 16 GB VRAM can run quantized 7B models (4-bit GPTQ/AWQ). For larger models like 13B or 70B, consider the RTX 4090 (24 GB) or A100 (40/80 GB). The RTX 4080 is ideal for smaller model inference and fine-tuning tasks.
Why is the RTX 4080 more expensive per hour than the RTX 4090?+
Pricing reflects current market supply and demand. The RTX 4090 has higher availability in our fleet, which allows us to offer a lower per-hour rate. The RTX 4080 remains an excellent choice for workloads that fit within 16 GB VRAM, and per-TFLOP pricing is competitive.
Is the RTX 4080 suitable for Stable Diffusion?+
Yes. Stable Diffusion 1.5 runs very well on the RTX 4080, and SDXL works at standard resolution (1024×1024) with batch size 1-2. For high-throughput image generation, consider the RTX 4090 for its larger VRAM.
What storage comes with the RTX 4080 instance?+
Each RTX 4080 instance includes 100 GB NVMe SSD storage by default. You can add additional persistent volumes up to 1 TB for datasets and model checkpoints.

RTX 4080 — Related Resources

Fine-Tuning Guide: RTX 4090 vs H100

Learn how to fine-tune LLMs on consumer and enterprise GPUs with practical benchmarks.

FLUX Image Generation

Generate high-quality images with FLUX on consumer GPUs at a fraction of the cost.

AI Inference Platform

Access 140+ AI models through our serverless inference API with per-token pricing.

VoltageGPU vs RunPod

See how VoltageGPU pricing and features compare to RunPod for GPU cloud.

VoltageGPU vs Vast.ai

Compare GPU cloud pricing, features, and availability against Vast.ai.

Full Pricing Details

View pricing for all GPU models and AI inference API with no hidden fees.

Browse Available GPU Pods

See real-time GPU availability and deploy a pod in under 60 seconds.

Start using the RTX 4080 today

Deploy a RTX 4080 instance in 30 seconds. No upfront costs, no long-term contracts. Per-minute billing starting at $0.92/hr.

Deploy RTX 4080 Now