Earlier this year, CUDO launched CUDOS Intercloud, a groundbreaking product that addresses a significant gap in the Web3 computing space. By providing a scalable and distributed GPU-as-a-Service cloud, CUDOS Intercloud is tailored for Decentralised Physical Infrastructure (DePIN) communities and AI computational tasks, including machine learning and inference. This strategic move is further strengthened by CUDO’s partnership with NVIDIA, a global leader in GPU technology.

Why This Partnership is a Great Move by CUDOS

  1. Access to Cutting-Edge Technology: By integrating NVIDIA GPUs, including the H200 and H100 Tensor Core GPUs, CUDO ensures that its users have access to the latest and most powerful hardware for AI and machine learning tasks1. This integration helps overcome the challenges of building robust and decentralised Web3 and AI systems.

  2. Cost-Effective Solutions: CUDOS Intercloud offers savings of up to 75% compared to other offerings1. This cost efficiency, combined with the use of 100% renewable energy-powered data centres, makes it an economically and environmentally friendly option for businesses and individuals alike.

  3. Enhanced Flexibility and Control: The combination of NVIDIA GPUs with CUDO Network platforms, leveraging a distributed chain of data centres worldwide, provides customers with a powerful cloud solution for a wide range of tasks, from visualisation to massively parallel computational tasks1. This setup offers greater control over operations, location, and security, helping companies and users to scale more effectively.

  4. Web3-Native Experience: CUDOS Intercloud addresses the specific needs of Web3 companies by offering a Web 3.0-aligned experience, such as connecting digital wallets, thus streamlining access to GPU resources1. This approach helps tackle issues like high costs, inability to pay in a Web3-native manner, and extensive KYC requirements.

What We Can Expect from This Partnership

  1. Increased AI Capabilities: With over 500,000 consumed hours of AI GPU time already delivered by the CUDO network1, we can expect a significant boost in AI capabilities. The integration of advanced NVIDIA GPUs will further enhance the performance and efficiency of AI computational tasks.

  2. Broader Range of Services: CUDO supports a variety of NVIDIA GPUs, including the A100, V100, and A40 Tensor Core GPUs, as well as the RTX A6000, A5000, and A4000 GPUs for professional visualisation1. This wide range of options allows users to choose the best GPU based on their budget and specific high-performance computing needs.

  3. Sustainable and High-Performance Computing: As a cloud partner in the NVIDIA Partner Network, CUDO is committed to providing sustainable and high-performance computing solutions1. This partnership will likely lead to further innovations in the field, benefiting both the AI and Web3 communities.

Check Out CUDOS Intercloud:- Intercloud.cudos.org

#CUDOS #DePIN #NVIDIA