Io.net Cloud offers a decentralized computing network that provides machine learning engineers with instant, permissionless access to global GPU resources for their workloads. This platform enables efficient deployment of pre-configured clusters, significantly reducing costs and deployment time for AI startups.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+3Founders
Product
Problem
AI/ML startups often face high costs and long deployment times when acquiring GPU resources for training and inference. Traditional cloud providers can be expensive, and the process of setting up and managing GPU clusters is complex and time-consuming.
Solution
Io.net Cloud offers a decentralized computing network that provides machine learning engineers with instant, permissionless access to global GPU resources. The platform enables streamlined deployment of pre-configured clusters, significantly reducing costs and deployment time. By leveraging a decentralized physical infrastructure network (DePIN), Io.net provides on-demand GPU access at industry-leading prices. The platform supports instant payments via Solana and offers a variety of GPU options, allowing users to select the optimal processors for their specific workloads.
Target Audience
The primary target audience consists of AI/ML startups and machine learning engineers who require scalable and cost-effective GPU resources for training and inference workloads.
Features
- Decentralized GPU clusters deployed on a global network of providers across 139+ countries
- Streamlined cluster deployment with pre-configured ML stacks for popular frameworks
- Instant, permissionless access to GPUs with Solana Pay integration
- Wide selection of GPUs, including RTX 4090, with varying CUDA core counts, TeraFLOPS, and memory
- Auto-scaling capabilities to dynamically adjust resources based on user demand
- Reputation scoring system for tracking supply and uptime of GPU providers
- SOC2 compliance and end-to-end encryption for enhanced security