VoltageGPU - GPU Cloud Computing & AI Inference Platform

The Most Affordable GPU Cloud Platform

VoltageGPU provides enterprise-grade GPU cloud computing at up to 85% lower cost than AWS, Azure, and Google Cloud. Access NVIDIA RTX 4090, A100, and H100 GPUs for AI training, inference, rendering, and scientific computing.

GPU Cloud Services

  • NVIDIA RTX 4090 Cloud GPU

    24GB VRAM, 82.6 TFLOPS FP32. Perfect for AI inference, image generation, and 3D rendering. Starting at $0.25/hour - 80% cheaper than AWS.

  • NVIDIA A100 80GB Cloud GPU

    80GB HBM2e VRAM, 312 TFLOPS FP16. Enterprise-grade for large model training and inference. Starting at $0.88/hour - 75% cheaper than major cloud providers.

  • NVIDIA H100 Cloud GPU

    80GB HBM3 VRAM, 1979 TFLOPS FP8. Latest generation for cutting-edge AI research. Best price-performance ratio in the market.

AI Inference API

Access 140+ AI models through our serverless inference API. OpenAI-compatible endpoints for seamless integration. Pay only for what you use with competitive per-token pricing.

  • Qwen3-32B - $0.15/M input tokens
  • DeepSeek-V3 - $0.35/M input tokens
  • Mistral-Small-24B - $0.06/M input tokens
  • FLUX Image Generation - $0.003/image
  • Whisper Speech-to-Text - $0.006/minute

Why Choose VoltageGPU?

  • 85% Cost Savings - Lowest prices in the GPU cloud market
  • No Commitment - Pay by the hour, no long-term contracts
  • Instant Deployment - Launch GPU instances in under 60 seconds
  • Global Network - Data centers in US, Europe, and Asia
  • 24/7 Support - Expert technical support around the clock
  • Enterprise Security - SOC 2 compliant, encrypted data at rest

Use Cases

  • AI/ML Model Training - Train large language models and neural networks
  • AI Inference - Deploy models for production inference at scale
  • Image & Video Generation - Run Stable Diffusion, FLUX, and video models
  • 3D Rendering - Blender, Maya, and other GPU-accelerated rendering
  • Scientific Computing - CUDA-accelerated simulations and research
  • Cryptocurrency Mining - Efficient GPU mining operations

Frequently Asked Questions

How much does GPU cloud computing cost on VoltageGPU?

VoltageGPU offers the most competitive GPU cloud pricing. RTX 4090 starts at $0.25/hour, A100 80GB at $0.88/hour, and H100 at $2.50/hour. This is up to 85% cheaper than AWS, Azure, and Google Cloud.

What GPUs are available on VoltageGPU?

We offer NVIDIA RTX 3090, RTX 4090, A100 40GB, A100 80GB, H100, and L40 GPUs. Multi-GPU configurations up to 8x GPUs are available for large-scale training.

How do I get started with VoltageGPU?

Sign up for a free account, add credits via credit card or cryptocurrency, and launch your first GPU instance in under 60 seconds. No credit card required to explore the platform.

Is VoltageGPU suitable for enterprise use?

Yes! VoltageGPU is SOC 2 compliant with enterprise-grade security. We offer dedicated support, custom SLAs, and volume discounts for enterprise customers.

Getting Started

  1. Create a free VoltageGPU account
  2. Add credits to your account
  3. Browse available GPU pods or AI models
  4. Deploy your workload in seconds
  5. Pay only for what you use
VoltageGPU Logo

VoltageGPU

Decentralized GPU Cloud — Up to 85% Cheaper vs. Major Clouds

24/7 Support
99.9% Uptime SLA
Deploy in <60s
Global Network
No Credit Card Required
GPU Pricing

8× A100 80GB — Save up to 85% vs. GCP

Provider$/h$/GPU-h
VoltageGPUBest Price
$6.02$0.75
RunPod−46%
$11.12$1.39
AWS−78%
$27.45$3.43
GCP−85%
$40.55$5.07

Prices as of Jan. 2026. View full pricing → • Read 2026 Benchmark →

How It Works
1

Create Account

Sign up in seconds with Google or email. No credit card required to start.

Continue with Google
or
name@email.com
••••••••
Create Free Account
No credit card required
2

Deploy a GPU Pod

Pick your GPU, choose a template, and launch in seconds.

RTX 409024 GB$0.39/h
A100 80GB80 GB$0.75/h
H10080 GB$3.47/h
PyTorchTensorFlowvLLM
Deploy Now
3

Train & Scale

Run your ML workloads, deploy AI endpoints, and scale on demand.

Active Pods3
Burn Rate$1.24/h
llama-finetuneA100$0.75/h
sd-inference4090$0.39/h
GPU Usage: 72%
See It In Action
Dashboard
voltagegpu.com/dashboard
Account Balance$247.50
3Active Pods
$1.24/hBurn Rate
8 daysRemaining
training-llama-7bA100 80GB$0.88/h
sd-inferenceRTX 4090$0.25/h

Real-time balance, pod status, and cost tracking at a glance.

CLI & API
terminal
$pip install voltagegpu-cli
Successfully installed voltagegpu-cli-1.2.0
$volt pods create --template pytorch-cuda12 --name my-training
✓ Pod created in 42s — RTX 4090 24GB
$volt pods ssh pod_8f3k2
root@gpu-pod:~# nvidia-smi
NVIDIA RTX 4090 | 24GB | 450W | CUDA 12.4

Deploy via CLI or REST API. SSH access in seconds.

AI Inference
OpenAI-compatible API
# Works with any OpenAI SDK
from openai import OpenAI
 
client = OpenAI(
  base_url="api.voltagegpu.com/v1"
)
resp = client.chat.completions.create(
  model="DeepSeek-R1",
  messages=[...]
)

140+ models. Drop-in replacement for OpenAI — just change the base URL.

Built For

LLM Fine-Tuning

Fine-tune Llama, Mistral, or Qwen on your data. LoRA & full fine-tuning with multi-GPU support.

A100 80GB • H100

Model Training

Train CNNs, transformers, and diffusion models. PyTorch, JAX, and TensorFlow pre-installed.

RTX 4090 • A100

Real-Time Inference

Deploy vLLM, TGI, or Triton endpoints. Auto-scaling with pay-per-token or per-second billing.

140+ models • OpenAI API

Image & Video Generation

Run FLUX, Stable Diffusion XL, or LTX-Video. Batch generation with GPU-optimized pipelines.

RTX 4090 • FLUX • SDXL

Speech & Audio

Whisper transcription, text-to-speech, music generation. Real-time audio processing pipelines.

Whisper • TTS • MusicGen

RAG & Embeddings

Generate embeddings with BGE, MiniLM, or E5. Build semantic search and retrieval pipelines.

Embeddings API • Vector DBs

3D Rendering & Simulation

Run Blender, Unreal Engine, or physics simulations. GPU-accelerated rendering at scale.

RTX 4090 • A100 • CUDA

Data Science & Analytics

Run RAPIDS, Spark GPU, or Dask on large datasets. Accelerate ETL and feature engineering.

RAPIDS • cuDF • Jupyter

Game AI & Reinforcement Learning

Train RL agents, run game simulations, or deploy NPC AI. Multi-GPU parallel environments.

Multi-GPU • Isaac Gym
Developer Resources

Technical Whitepaper

Architecture, benchmarks & security model

API Reference

OpenAI-compatible endpoints, SDKs & code samples

GPU Pods Guide

Deploy, SSH, volumes, backups & scheduled termination

Quick Start

First GPU pod in 2 minutes — step by step

Blog & Benchmarks

GPU comparisons, fine-tuning guides & real-world benchmarks

Powered by Bittensor

Decentralized AI Infrastructure

VoltageGPU aggregates GPU supply from a global peer-to-peer network powered by Bittensor. Incentive-driven competition keeps prices low and uptime high — no vendor lock-in.

Learn MoreBittensor Whitepaper

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