- Leonardo AI partnered with IO.net to meet growing computing demands after attracting over 19 million users and being acquired by Canva in 2024.
- io.net’s decentralized GPU network offers 90% cost reduction compared to traditional cloud providers while providing access to 300,000+ verified GPUs across 130+ countries.
- The partnership demonstrates how decentralized computing can help AI platforms scale efficiently when facing unpredictable user demand.
Leonardo AI has leveraged io.net’s decentralized computing infrastructure to support its rapid growth and increasing user demand. After attracting more than 19 million users to its AI-generated visual creation platform, Leonardo was acquired by Canva in 2024, according to recent information shared by io.net on January 17, 2025. The partnership addresses Leonardo’s need for more flexible, scalable computing resources to handle unpredictable spikes in user activity.
Scaling Challenges for AI Platforms
As Leonardo AI’s popularity surged, the company faced significant infrastructure challenges. Traditional cloud providers couldn’t deliver the flexibility and cost-efficiency needed to handle the platform’s specialized GPU requirements for AI image generation. These constraints threatened both Leonardo’s budget and its ability to maintain performance during user demand spikes.
“The Big Tech cloud service providers charge exorbitant rates for the specialized GPU instances required for AI workloads,” notes the original report from io.net, highlighting the financial barriers that AI startups face when scaling their operations. Without an affordable scaling solution, Leonardo risked performance degradation and potential user alienation.
Decentralized Computing Solution
io.net’s decentralized cloud computing network offered Leonardo access to over 300,000 verified GPUs distributed across more than 130 countries. This infrastructure allows for on-demand GPU cluster deployment without long-term commitments, ideal for rapid prototyping and experimentation in AI development.
The partnership delivered substantial cost benefits as well. io.net reports that its decentralized approach undercuts traditional cloud computing prices by approximately 90% while maintaining high uptime and security standards. This cost-efficiency comes from redistributing under-utilized GPU resources globally through a crypto-native infrastructure.
The collaboration between Leonardo AI and io.net demonstrates how decentralized computing can support the next generation of AI applications facing variable user demand. The model provides the necessary computational foundation for AI developers to continue innovating without prohibitive infrastructure costs. According to io.net, this partnership represents the beginning of a broader movement toward decentralized computing solutions for AI-powered platforms requiring scalability and performance at sustainable costs.
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