Inference
Run inference on LLMs, vision, and multimodal models at scale with low latency and up to 90% cost savings.
Resources
Category
- Infrastructure Providers
Use Cases
- E-commerce Payments
- Payment Settlement
Circle Products Used
- USDC
Blockchains Supported
- Solana
Platform
- Web
Region
- APAC
- Europe
- LATAM
- Middle East and Africa
- North America
Support
Kate Lane
Decentralized GPU cloud for AI training, fine-tuning, and inference.
io.net is a decentralized distributed compute network that democratizes access to GPU clusters at scale. ML engineers and enterprises can deploy self-healing, fully meshed GPU clusters within seconds, paying seamlessly with digital dollars.
By aggregating resources from thousands of nodes globally, io.net saves users up to 90% compared to traditional cloud providers while delivering high availability, fault tolerance, and enterprise-grade performance.
Built natively on the Ray framework - io.net unlocks scalable, affordable compute for anyone building in AI.
Use Cases
Model Training & Fine-Tuning
Address hardware limitations by distributing training jobs across multiple GPUs. io.net supports common distributed computing techniques like CaaS and Ray clustering, enabling teams to practically manage larger training workloads without extensive infrastructure.
Reinforcement Learning & Fine-Tuning
Support reinforcement learning tasks through straightforward distributed workflows. io.net provides easy-to-use APIs for practically deploying and refining reinforcement learning models across available computing resources.
Enterprise AI Workloads
Enable enterprises, research labs, and startups to tap into GPU/CPU resources globally without vendor lock-in. io.net’s clusters and seamless digital dollar payments simplify access to compute while ensuring high availability, compliance, and cost efficiency.
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