CUDOS Expands Cloud Computing Solutions with New Deployments and Metrics

In May, CUDOS made significant strides in the cloud computing landscape, particularly in the realm of decentralized infrastructure. The highlight of the month was the participation in Consensus 2025, where the emphasis was placed on the necessity of open, permissionless, and privacy-preserving compute infrastructure. Developers and teams from various sectors, including DeFi and AI, expressed their frustrations with centralized cloud solutions, indicating a growing demand for alternatives like CUDOS Intercloud, which offers digital wallet-authenticated GPU access without the need for accounts or KYC.
Additionally, CUDOS introduced new one-click deployment templates, enhancing the ease of AI experimentation. The latest additions, including Llama 3.1 and Llama 3.3, complement existing templates like Dify and JupyterLab, allowing users to launch full-stack deployments with minimal effort. Furthermore, the integration of Squid Router enables payments across over 70 chains, simplifying the process for users to pay for compute resources in their native tokens without the need for bridging.
The metrics for May reflect CUDOS’s rapid growth, with a record $239,300 in on-demand revenue and over 330,000 GPU compute hours consumed. The ecosystem has expanded to include more than 18,000 users and a total revenue exceeding $2 million. Moreover, the first containerized compute hardware for the Artificial Superintelligence Alliance was deployed, marking a pivotal step towards distributed computing solutions. CUDOS continues to innovate and scale, reinforcing its commitment to building a robust and accessible cloud infrastructure for the future.
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