Latest DePIN Cloud Services News

A couple of weeks ago, I attended the Nexus Forum in Brussels, where policymakers, researchers, and SMEs gathered to discuss the European Edge Cloud Continuum. This strategic initiative aims to enhance Europe’s capabilities in cloud computing and edge technologies by moving data processing closer to its source. This shift is crucial for achieving faster and more efficient data management, reducing reliance on distant data centers. However, with the European cloud market increasingly dominated by non-EU providers like Amazon, Microsoft, and Google, the EU faces significant challenges in establishing cloud sovereignty and competing on a global scale. The European Commission (EC) is actively investing in cloud and edge computing to address this imbalance, with ambitious goals such as ensuring that 75% of EU enterprises adopt cloud solutions by 2030. The proposed federated cloud model seeks to combine smaller players, including telecom operators and local services, to create a unified front against global giants. However, fragmentation within the European market complicates this effort. The cloud-edge continuum concept aims to integrate various providers, from large cloud services to small edge nodes, to deliver computing resources closer to where data is generated. During the forum, I inquired about the role of decentralized technologies like Streamr in this vision. While the EC's roadmap places decentralized technologies at the far end of the cloud-edge continuum, many DePIN projects are already operational today. Streamr, for instance, can serve as a decentralized data backbone, facilitating the integration of various services and enhancing the efficiency of data management. To realize the potential of decentralized solutions in achieving cloud sovereignty, there must be more dialogue between policymakers and innovators, ensuring that these technologies are recognized and integrated into Europe’s strategic framework for the future.

Theta Labs has signed a multi-year agreement with Seoul Women’s University to provide its AI research lab access to Theta EdgeCloud’s decentralized GPU computing power. The partnership aims to boost computational power for AI research in healthcare, bioinformatics, and finance by leveraging Theta EdgeCloud's network of GPUs. Built on the Theta Network, Theta EdgeCloud offers scalable GPU computing resources for AI, media, and entertainment applications. The project secured a $1 million investment from VC firm DWF Labs last year. The collaboration with SWU exemplifies how decentralized physical infrastructure networks can solve real-world problems, reducing costs and increasing research productivity. Theta EdgeCloud reduces GPU costs by 50-70% and accelerates setup times, benefiting the entire AI ecosystem. The DePIN sector, including projects like Theta EdgeCloud, is rapidly growing in the crypto space, with Messari forecasting a market value of $3.5 trillion by 2028. Early-stage DePIN projects have raised over $246 million across 70 deals by August 2024, marking a 296% surge year-over-year.

Theta Labs has partnered with Seoul Women's University to provide its AI research lab access to Theta EdgeCloud's decentralized GPU computing power. This collaboration aims to enhance AI research in healthcare, bioinformatics, and finance by reducing costs and boosting computational power. Theta EdgeCloud, built on the Theta Network, offers scalable GPU computing resources for various applications, thanks to its distributed network of over 30,000 nodes. The partnership with SWU exemplifies how decentralized infrastructure networks like Theta EdgeCloud can solve real-world problems, particularly in reducing costs and increasing research productivity. By leveraging Theta's decentralized GPU network, universities can overcome financial and logistical hurdles in AI research, leading to increased innovation and democratization of AI research. The DePIN sector, which includes technologies like Theta EdgeCloud, is experiencing rapid growth, with Messari predicting a market value of $3.5 trillion by 2028. Early-stage DePIN projects have attracted significant venture capital funding, with over $246 million raised across 70 deals by August 2024, marking a 296% surge year-over-year.

Theta Labs announces a new partnership with AIX Lab at Seoul Women’s University to utilize Theta EdgeCloud for advanced AI research. This collaboration aims to enhance SWU’s AI capabilities across various domains such as healthcare, bioinformatics, and industry-specific innovations. Led by Professor Minseo Park, the partnership leverages machine learning and deep learning to address complex challenges in medical AI, chronic disease management, and more. By providing cost-effective, high-performance distributed GPU computing, Theta EdgeCloud offers a competitive advantage over traditional in-house GPU server clusters and cloud providers. The decentralized approach aligns with academia's research community-driven philosophy, fostering innovation and knowledge sharing.

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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.

Aethir partners with Return Entertainment to bring decentralized GPU cloud infrastructure to smart TV gaming, unlocking a new audience for the gaming industry. By offloading GPU-intensive workloads to the cloud, players can enjoy premium cloud gaming with just a stable internet connection. The move follows Return Entertainment's debut of Rivals Arena on Samsung TVs in the US, offering a QR code scanning gameplay experience. Aethir boasts the largest fleet of Nvidia H100 Tensor Core GPUs in the web3 industry, with a testnet for cloud gaming on Ethereum's Layer 2 network. Samsung deepens its web3 gaming partnerships, including Illuvium, allowing Web3 TV owners to view in-game NFTs on their television devices.

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.