Aura Compute / For Businesses

Decentralized GPU compute
for AI workloads.

Run your AI workloads on the Aura Network โ€” a decentralized grid of consumer GPUs. Our goal is to offer significantly lower prices than centralized cloud providers.

Lower cost

Our target

Any GPU

NVIDIA / AMD

Pay-as-you-go

No contracts

Why Aura Compute

Cloud compute is expensive.
We're building an alternative.

AWS, Google Cloud, and Azure charge premium prices due to massive infrastructure costs. Aura Compute aims to leverage idle consumer GPUs โ€” the hardware already exists. Our goal is to connect you to it at a lower cost.

Price comparison โ€” GPU compute per hour

Approximate market rates for comparison. Aura Compute pricing is a target, not a guarantee

AWS (p4d.xlarge)
$3.20/hr
Google Cloud (A100)
$2.93/hr
Lambda Labs
$1.99/hr
Vast.ai (market avg)
$0.80/hr
Aura Compute (target)Our goal
~$0.40/hr

Use cases

What can you run on Aura?

๐Ÿง 

Model Inference

Run your trained models at scale. Image classification, text generation, object detection โ€” submit jobs via API and get results back.

PyTorchONNXHuggingFace
๐Ÿ“Š

Embedding Generation

Generate vector embeddings for millions of documents, images, or audio files. Ideal for RAG pipelines, semantic search, and recommendation systems.

sentence-transformersCLIPWhisper
๐ŸŽจ

Image & Video AI

Run Stable Diffusion, ControlNet, or custom image models. Batch process thousands of images without paying cloud GPU premiums.

Stable DiffusionControlNetSDXL
๐Ÿ”ฌ

Fine-tuning & Training

Fine-tune smaller models (up to 7B parameters) on your own data. Distribute training across multiple nodes in the network.

LoRAQLoRAPEFT
๐Ÿ—ฃ๏ธ

Speech & Audio

Transcribe audio, generate speech, or run audio classification at scale. Whisper, TTS, and custom audio models supported.

WhisperTTSAudio Classification
๐Ÿ“ˆ

Data Processing

GPU-accelerated data processing pipelines. Feature extraction, preprocessing, and transformation at scale.

RAPIDScuDFCustom

Integration

Simple API. No DevOps required.

01

Submit a job

Send your model and input data via our REST API or Python SDK. Specify GPU requirements and budget.

02

Network processes it

The Aura Network routes your job to available GPUs. Results are verified by multiple nodes before delivery.

03

Get results + receipt

Receive your output with a cryptographic proof of computation. Pay only for what was processed.

example.py
import aura_compute as aura

client = aura.Client(api_key="your_key")

# Submit an inference job
job = client.submit({
    "model": "sentence-transformers/all-MiniLM-L6-v2",
    "inputs": ["Hello world", "AI is amazing"],
    "task": "text_embedding",
    "max_price_per_hour": 0.50  # USD
})

# Get results
result = job.wait()
print(result.embeddings)  # [[0.12, -0.34, ...], ...]
print(f"Cost: {result.cost_aurc} AURC")

Early Access

Get early access.
Shape the product.

We're collecting early interest from potential business clients. When the network launches, early partners will get:

  • ๐ŸงชEarly access to the beta network for testing and feedback
  • ๐Ÿ”งDirect access to the engineering team for custom integrations
  • ๐Ÿ“‰Priority access to competitive pricing when the network launches
  • ๐Ÿ—ณ๏ธVote on which AI task types we prioritize next

Currently in: Early Development

The network is being built. We're collecting early interest to prioritize features and find our first pilot customers. No commitment required.

Request Early Access

We respond within 24 hours. No spam, no sales calls.