Ada LovelaceBest Value

Rent NVIDIA RTX 4090

Rent NVIDIA RTX 4090 24GB GPU instances from $0.39/hr. Perfect for AI inference, LLM fine-tuning, Stable Diffusion, and 3D rendering. Deploy in 30 seconds on VoltageGPU cloud.

✓ Best price-to-performance for inference✓ 24 GB GDDR6X — run 7B-13B models✓ Ada Lovelace architecture with RT cores✓ Deploy in under 30 seconds
Deploy NowView Pricing

Starting from

$0.39/hr

~$9.36/day

~$280.8/month (24/7)

Deploy RTX 4090

Per-minute billing · No commitment

RTX 4090 Technical Specifications

VRAM

24 GB GDDR6X

Memory Type

GDDR6X

Memory Bandwidth

1,008 GB/s

CUDA Cores

16,384

Tensor Cores

512

FP16 Performance

165.2 TFLOPS

FP32 Performance

82.6 TFLOPS

TDP

450W

Architecture

Ada Lovelace

Interconnect

PCIe 4.0 x16

Included Storage

100 GB NVMe SSD

vCPUs

8 vCPUs

System RAM

32 GB DDR5

Manufacturer

NVIDIA

RTX 4090 Cloud Pricing

See how VoltageGPU compares to other cloud GPU providers.

ProviderHourly RateEst. Monthlyvs VoltageGPU
VoltageGPUYou$0.39$280.8—
RunPod$0.44$31711% cheaper
Vast.ai$0.42$3027% cheaper
Lambda$0.50$36022% cheaper
AWS (g5.xlarge)$1.01$72761% cheaper

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

What Can You Do with the RTX 4090?

Popular workloads and use cases for NVIDIA RTX 4090 cloud instances.

🧠

LLM Fine-Tuning

Fine-tune 7B parameter models like LLaMA 2, Mistral, and Falcon with LoRA/QLoRA. The 24 GB VRAM handles quantized models efficiently.

⚡

AI Inference

Deploy inference endpoints for Stable Diffusion, Whisper, or medium-sized language models at a fraction of data center GPU costs.

🎨

3D Rendering

Blender, Unreal Engine, and Octane Render workloads benefit from the Ada Lovelace architecture's ray tracing cores.

👁️

Computer Vision

Train YOLO, Detectron2, and segmentation models on large image datasets with fast epoch times.

RTX 4090 Performance Benchmarks

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

Training45/100
Inference70/100
Fine-Tuning55/100
Rendering85/100

Deploy RTX 4090 via API

Programmatically launch a RTX 4090 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": "rtx4090",
    "gpu_count": 1,
    "template": "pytorch-2.2",
    "storage_gb": 100,
    "name": "my-rtx4090-instance"
  }'

RTX 4090 — Frequently Asked Questions

Is the RTX 4090 good for training large language models?+
The RTX 4090 is excellent for fine-tuning models up to 13B parameters using quantization techniques like QLoRA. For full pre-training of models larger than 7B, you would benefit from data center GPUs like the A100 or H100 with higher VRAM. However, for most fine-tuning and smaller training tasks, the RTX 4090 offers the best price-to-performance ratio available.
How does the RTX 4090 compare to the A100 for AI workloads?+
The RTX 4090 delivers roughly 50-60% of the A100 80GB's training throughput at about 10% of the cost per hour. For inference workloads, the RTX 4090 actually matches or exceeds the A100 40GB in many benchmarks thanks to its newer Ada Lovelace architecture and higher clock speeds. It is the best choice for cost-conscious developers.
What frameworks are pre-installed on VoltageGPU RTX 4090 instances?+
Every VoltageGPU instance comes with PyTorch 2.x, TensorFlow 2.x, CUDA 12.x, cuDNN, and Jupyter Lab pre-installed. You can also use our Docker template system to deploy custom environments in seconds.
Can I run Stable Diffusion XL on the RTX 4090?+
Absolutely. The RTX 4090's 24 GB VRAM is more than enough for Stable Diffusion XL, which typically requires 8-12 GB for inference. You can generate images at full 1024×1024 resolution with batch sizes of 4 or more, making it ideal for production image generation services.
How quickly can I deploy an RTX 4090 on VoltageGPU?+
Deployment takes approximately 30 seconds. Select your GPU, choose a template (PyTorch, TensorFlow, or custom Docker image), and your instance is ready with SSH access and Jupyter Lab. No upfront commitments or long-term contracts required.

RTX 4090 — 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 4090 today

Deploy a RTX 4090 instance in 30 seconds. No upfront costs, no long-term contracts. Per-minute billing starting at $0.39/hr.

Deploy RTX 4090 Now