Latest CUDOS News

CUDOS, a prominent player in sustainable and decentralised cloud computing, has recently forged a strategic partnership with ParallelAI, a pioneer in parallel processing solutions tailored for artificial intelligence. This collaboration aims to merge CUDOS's high-performance Ada Lovelace and Ampere GPUs with ParallelAI's Parahub GPU Middleware, thereby creating a decentralised AI compute environment that promises exceptional efficiency and scalability. By leveraging CUDOS's decentralised infrastructure, ParallelAI's $PAI ecosystem will gain access to robust and cost-effective GPU resources, enabling accelerated AI workloads that allow developers and enterprises to optimize GPU utilization while minimizing operational expenses. The timing of this partnership is particularly significant as CUDOS continues to build on its recent token merger with ASI Alliance members, which include notable entities like Fetch.ai, SingularityNET, and Ocean Protocol. This strategic alignment further cements CUDOS's position within a globally recognized decentralised AI network. ParallelAI's upcoming launches of the Parilix Programming Language and PACT Automated Code Transformer are set to complement this partnership, simplifying GPU programming and enhancing the accessibility of parallel processing for developers, thus fostering innovation in the AI sector. The collaboration between CUDOS and ParallelAI signifies a mutual dedication to promoting sustainable and accessible AI computing solutions. As the integration of their technologies advances, this partnership is poised to usher in a new era of decentralised, high-performance computing, ultimately redefining the landscape of artificial intelligence for developers and enterprises alike. With ParallelAI's ability to enhance compute efficiency by significantly reducing computation times, the synergy between these two companies is expected to empower a wide array of AI-driven projects and large-scale data analyses.

Last week marked a significant milestone in the blockchain ecosystem with the successful merge of the CUDOS token and blockchain with ASI. This transition involved halting the CUDOS mainnet and upgrading the Fetch.ai (ASI) mainnet within the Cosmos ecosystem. As a result of this merger, all CUDOS tokens have been migrated, and while they may still appear on platforms like Keplr and Mintscan, they are now historical records. The native CUDOS tokens are no longer in existence, and former holders are now encouraged to access and utilize their new FET tokens. A comprehensive guide has been provided to assist users in navigating this transition, including recommended wallets and methods to view their new tokens. The recommended wallets for managing FET tokens include the Cosmostation wallet and the ASI wallet, both of which support the ASI Alliance chain. Users are advised to manually enable the ASI Alliance chain in the Cosmostation wallet to view their tokens. For those using Keplr, logging into the CUDOS Intercloud platform will prompt the addition of the ASI Alliance chain, allowing users to see their FET tokens. However, it is important to note that Keplr may not display vesting schedules accurately, making the Cosmostation wallet a preferable option for full functionality. Mintscan is highlighted as the primary block explorer for viewing FET tokens, where users can also find their ASI addresses linked to their previous CUDOS accounts. To effectively use their new FET tokens, users are encouraged to utilize either the Cosmostation wallet or the ASI wallet for staking and managing their tokens. The process includes importing their CUDOS account into the Cosmostation wallet and enabling the ASI Alliance chain for visibility. Mintscan serves as a platform for staking, undelegating, and managing tokens, while the ASI wallet allows for direct access to the ASI Alliance account. For those with Ledger devices, Mintscan supports hardware wallet connections, providing a secure method to manage FET tokens. Overall, this merger represents a pivotal development in the blockchain landscape, enhancing the utility and accessibility of tokens within the Cosmos ecosystem.

DePIN, or Decentralized Physical Infrastructure Networks, is emerging as a transformative model that shifts away from traditional centralized infrastructure systems. Unlike conventional models dominated by a single provider, DePIN leverages a distributed network of participants to provide and maintain essential physical infrastructure, including computing power, storage, and connectivity. This decentralization not only enhances resilience by reducing reliance on a single point of failure but also optimizes resource usage, leading to significant cost and energy efficiencies. Participants in DePIN networks contribute resources and are compensated, fostering a collaborative environment that benefits all stakeholders involved. The significance of DePIN lies in its ability to address critical challenges faced by digital infrastructure. By enabling services such as AI inference to run closer to data sources, DePIN reduces latency, which is vital for real-time applications. Furthermore, the distributed nature of these networks enhances resilience, making them less vulnerable to outages. Cost efficiency is achieved through a diverse set of providers, eliminating the need for expensive centralized infrastructure. Additionally, DePIN's architecture promotes environmental sustainability by optimizing energy consumption, thereby lowering the overall carbon footprint associated with large data centers. CUDOS Intercloud plays a pivotal role in the DePIN ecosystem by providing a decentralized cloud computing platform that connects service providers globally. This integration allows for lower latency in computing and AI inference, as workloads can be processed closer to their data sources. By tapping into underutilized resources, CUDOS Intercloud not only reduces operational costs but also enhances energy efficiency. Its resilient architecture ensures that workloads can be dynamically shifted in case of failures, improving uptime and reliability. As the demand for decentralized infrastructure continues to grow, CUDOS Intercloud is well-positioned to lead the charge in revolutionizing cloud services, storage, and AI processing within the DePIN framework.

Today marks a significant milestone in the blockchain space as CUDOS and the Artificial Superintelligence (ASI) Alliance have successfully completed their token and blockchain merger. The CUDOS mainnet has officially halted at block height 12,385,627, meaning it will no longer produce blocks. In this process, all data from the final state of CUDOS was exported, and the Fetch.ai (ASI) chain underwent a software upgrade to incorporate all CUDOS data, facilitating the migration of balances. Notably, all CUDOS token holders and delegators have successfully transitioned, along with 30 validators, bringing the total validator count on Fetch.ai’s mainnet to 91. With the merger finalized, CUDOS holders can now view their new $FET tokens on the Fetch.ai (ASI) mainnet through platforms like Mintscan. To verify the correct amount in their vesting schedule, users can check an active CUDOS explorer, where their $FET balance should reflect the amount divided by 118.344. For further assistance or inquiries, stakeholders are encouraged to reach out through the official channels of CUDOS or ASI, including their respective Discord servers, especially for questions related to the merger and balance conversions. The collaboration between CUDOS and the ASI Alliance has been ongoing, and this merger paves the way for numerous exciting updates that are set to be announced soon. Both teams are committed to keeping the community informed, so stakeholders should stay tuned for upcoming developments as they continue to enhance their offerings in the blockchain ecosystem.

September marked a transformative month for CUDOS, characterized by significant developments, impressive growth metrics, and strategic partnerships. A highlight was the proposal for CUDOS to join the Artificial Superintelligence Alliance (ASI), aiming to synergize AI and cloud computing for sustainable innovation. The community's enthusiastic response culminated in a successful vote for the merger, paving the way for a new chapter in CUDOS's evolution. Detailed resources, including a voting guide and migration steps for the upcoming token merger with $FET, have been made available to assist users in this transition. The month also witnessed remarkable operational achievements, with a staggering 8,475 new virtual machines (VMs) deployed, reflecting a 159% increase from the previous month. This surge brought the total number of VMs across the CUDOS Intercloud to nearly 30,000. Additionally, the user base surpassed 11,000, and the platform logged over 500,000 compute hours, showcasing the diverse workloads being supported. Financially, CUDOS generated over $700,000 in revenue, underscoring its robust performance and growing adoption in the market. Infrastructure expansion was another key focus, with the establishment of new data centers in Norway and the USA, enhancing global computing capabilities. These facilities are equipped with advanced hardware to ensure efficient service delivery. Furthermore, CUDOS engaged with the community through events and discussions, including an AMA with CEO Matt Hawkins, who emphasized the merger's potential benefits. The media also recognized these milestones, with coverage in platforms like Cointelegraph, highlighting CUDOS's commitment to advancing AI and decentralized computing. Looking ahead, CUDOS is poised for continued growth and innovation, thanks to the unwavering support of its community.

The CUDOS merger with Fetch.ai ($FET) is entering its final phase as part of the ASI Alliance, following successful tests on the Dorado testnet. The CUDOS testnet was halted two weeks ago, paving the way for significant upgrades this week. Key events include a software upgrade for the CUDOS Network, which will temporarily halt the CUDOS chain, and a corresponding upgrade for the Fetch.ai network that will integrate all CUDOS accounts into the Fetch.ai ecosystem. Two governance proposals will be initiated on each network, and token holders are encouraged to participate in the voting process from October 22 to October 27, 2024. The CUDOS mainnet is set to halt at block height 12,385,627 on October 28, 2024, with the Fetch.ai mainnet upgrade following shortly after. As a CUDOS token holder, no action is required on your part during this transition. The migration of your CUDOS tokens to FET will be handled automatically through the software upgrades. Your new FET balance will reflect in the same account where your CUDOS tokens are currently held. However, it is essential to keep your private keys secure post-merger. All new FET tokens will be subject to a three-month vesting schedule, during which they can still earn rewards through delegation. Current CUDOS Validators are largely migrating to ASI, ensuring that your delegations remain intact. Looking ahead, the merger signifies a new chapter for CUDOS and Fetch.ai, combining their strengths to create a more robust decentralized network. The transition is not just a technical upgrade but a strategic move towards greater innovation and sustainability within the blockchain space. The CUDOS community's support has been invaluable, and as the merger unfolds, there is a palpable excitement about the future possibilities that lie ahead. Together, CUDOS and Fetch.ai are poised to achieve remarkable milestones in the blockchain ecosystem.

Assured Data Protection expands into Latin America by launching operations and offering Rubrik technology, ensuring cyber resiliency for enterprises. CUDOS and Storj collaborate to provide distributed compute and storage solutions for AI and modeling. DDN achieves tier-one performance data platform certification for NVIDIA Partner Network Cloud Partners. LiquidStack introduces CDU-1MW, a universally compatible coolant distribution unit for direct-to-chip liquid cooling. Rubrik introduces data protection for Salesforce, emphasizing the importance of backing up SaaS applications. RocketStor 6541x Series NVMe RAID Enclosures offer high performance and flexibility for PCIe Gen4 platforms. Corporate IT teams express concerns over data protection practices in the enterprise.

Storj and CUDOS have partnered to make AI compute more accessible by combining Storj's decentralized storage solutions with CUDOS's DePIN compute network. This alliance offers multi-petabyte capacity to customers, utilizing Storj's S3-compatible storage within the CUDOS network. By leveraging Valdi's compute capabilities, the collaboration aims to provide high-end compute solutions to the market. Storj's platform ensures enhanced security through encryption and data sharding, while CUDOS focuses on supporting large language models, image recognition, and speech synthesis. The CEOs of both companies emphasize the improved scalability, security, and cost-effectiveness of their joint services, positioning them as a competitive alternative to major cloud providers.

Storj partners with CUDOS to advance distributed compute and cloud storage solutions, leveraging NVIDIA's chips for the expanding AI market. The collaboration aims to provide scalable and cost-effective solutions for businesses and developers. Storj's recent partnerships with cunoFS and AIOZ Network further enhance AI and video workflows in the decentralized cloud storage space. Competitors include Filecoin, Arweave, and AIOZ Network's W3S. The DePIN market has seen increased funding for projects like IoTeX.

CUDOS Intercloud, a product by CUDO, has been launched to bridge the gap in Web3 computing by offering a scalable, distributed GPU-as-a-Service cloud solution. It is designed to cater to the needs of DePIN communities and AI computational tasks such as machine learning and inference. The platform addresses the challenges faced by Web3 companies in accessing GPUs and ensuring service levels while providing a Web 3.0-aligned experience. With the integration of NVIDIA GPUs, CUDOS Intercloud helps overcome the challenges of building robust and decentralized Web3 and AI systems. The CUDO network has delivered over 500,000 consumed hours of AI GPU time, supporting a range of NVIDIA GPUs for professional visualization and high-performance computing workloads. CUDOS Intercloud offers significant cost savings, a focus on GPU computing for AI, and the use of 100% renewable energy-powered data centers, making it an economically and environmentally friendly alternative for the AI era.