Aura Compute / For Businesses
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
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
Use cases
Run your trained models at scale. Image classification, text generation, object detection โ submit jobs via API and get results back.
Generate vector embeddings for millions of documents, images, or audio files. Ideal for RAG pipelines, semantic search, and recommendation systems.
Run Stable Diffusion, ControlNet, or custom image models. Batch process thousands of images without paying cloud GPU premiums.
Fine-tune smaller models (up to 7B parameters) on your own data. Distribute training across multiple nodes in the network.
Transcribe audio, generate speech, or run audio classification at scale. Whisper, TTS, and custom audio models supported.
GPU-accelerated data processing pipelines. Feature extraction, preprocessing, and transformation at scale.
Integration
Send your model and input data via our REST API or Python SDK. Specify GPU requirements and budget.
The Aura Network routes your job to available GPUs. Results are verified by multiple nodes before delivery.
Receive your output with a cryptographic proof of computation. Pay only for what was processed.
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
We're collecting early interest from potential business clients. When the network launches, early partners will get:
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.