Theta Labs Partners with Seoul Women's University to Boost AI Research with Decentralized GPU Computing Power

Acurast has made significant strides by successfully integrating Monad’s testnet into its network, which enhances the capabilities of real-time, high-performance blockchain technology. This integration allows Monad to be seamlessly accessible through Acurast, thereby streamlining the onboarding process for projects within the Monad ecosystem. The collaboration enables projects to utilize Acurast’s decentralized compute network, which offers efficient and cost-effective off-chain computation, ultimately strengthening the Monad ecosystem and providing builders with a more accessible way to leverage powerful processing capabilities. Monad is distinguished for its cutting-edge blockchain infrastructure that emphasizes real-time execution and scalability. The integration with Acurast enhances Monad’s core advantages, such as optimized execution layers that significantly improve transaction throughput and efficiency. Acurast complements this by providing a decentralized compute environment that ensures data integrity and security while maintaining real-time responsiveness. This synergy allows developers to innovate without sacrificing speed or security, paving the way for advanced applications like high-frequency trading algorithms and AI-driven solutions. The importance of this integration extends beyond mere technical enhancements; it signifies a pivotal moment for Decentralized Physical Infrastructure Networks (DePIN). While sectors like Gaming and DeFi have gained traction, DePIN represents the next frontier in decentralized technology. By merging Acurast’s compute network with Monad, the partnership is not only advancing computing capabilities but also making decentralized infrastructure more accessible and robust. With over 37,000 devices onboarded and around 170 million transactions on the Testnet, Acurast is poised to meet the growing demand for real-world applications in the crypto economy, shaping the future landscape of DePIN.

GPUs are now integrated into [Aleph Cloud](https://aleph.im/), providing high-performance computing for AI services, rendering, gaming, AI agents, and more. We are proud to announce a significant milestone for our decentralized cloud ecosystem with the latest integration of GPUs. The new Aleph Cloud Core Channel Node application introduces GPU integration, a transformative feature that positions Aleph Cloud as a powerful and more competitive solution for high-performance computing needs. In addition, this release brings account management capabilities, pricing estimations, and a host of performance improvements, making Aleph Cloud an even more robust platform for developers and enterprises alike. With GPU support, users can now unlock unparalleled computing power for tasks such as AI training, rendering, gaming, and running AI agents. By leveraging decentralized infrastructure, Aleph Cloud offers both scalability and flexibility at highly competitive prices, all through the convenience of a Pay-as-You-Go (PAYG) model using ALEPH tokens. # Revolutionizing cloud computing with GPU integration The integration of GPUs into Aleph Cloud marks a pivotal step forward. By enabling access to both consumer-grade and enterprise-grade GPUs, users can now select the exact resources they need through our intuitive interface at console.twentysix.cloud. This empowers them to scale their workloads seamlessly, whether they are building machine learning models, rendering complex graphics, or powering cloud-based gaming platforms. Each GPU model is paired with specific vCPU, RAM, and disk allocations, ensuring peak performance for any workload. For example, an RTX 4090, ideal for gaming or smaller AI projects, will cost around $240 per month*, while an enterprise-grade H100, designed for data-intensive operations, costs approximately $1,920 per month*. # Enhanced Pay-As-You-Go model Aleph Cloud’s PAYG model is designed to offer flexibility and cost transparency, a critical advantage for businesses and developers. With ALEPH tokens as the exclusive payment method, users can enjoy a seamless payment experience across blockchains like Base, and Avalanche. This ensures not only affordability but also accessibility to a global audience. Additionally, when a user provisions a GPU-powered virtual machine and initiates a payment, the system will automatically create two payment streams. 80% of the payment will be allocated directly to the node operator providing the compute power, while 20% will contribute to the Aleph Cloud treasury. This model ensures a fair and sustainable distribution of resources, incentivizing node operators while also reinvesting in the continued growth and development of the Aleph Cloud ecosystem. The pricing structure is straightforward yet highly competitive. For instance: * Consumer GPUs like the RTX 4090 are priced at ~$111 per month, while an RTX 4000 ADA costs only ~$55 per month*. * Enterprise GPUs such as the A100 and H100 are geared towards intensive tasks, priced at ~$875 and ~$583 per month*, respectively. This transparent structure enables users to budget accurately, scaling their resources as their projects evolve.  Pricing breakdown as of 18/02/2025 # New features for an optimized user experience In addition to GPU integration, this release introduces several features aimed at enhancing performance and usability. Among the key highlights: * Aggregates caching: By implementing caching for owner aggregates and metrics data, the platform now offers faster response times and smoother performance. * Pricing estimation: Users can now estimate the cost of executable messages before sending them, providing greater transparency and control. * Pre-calculated balances: This feature significantly improves system performance by reducing computational overhead. * Cost service updates: The cost service now uses pricing aggregates for more accurate estimations. These enhancements collectively make Aleph Cloud more reliable and user-friendly, reinforcing its position as a leading solution for decentralized cloud computing. ## Unlocking new use cases with GPUs The addition of GPUs extends Aleph Cloud’s capabilities to serve a diverse range of industries and applications: * AI and machine learning: Train and deploy machine learning models faster and more efficiently. * Rendering: Create stunning visual effects and high-quality 3D graphics with reduced rendering times. * Gaming: Deliver seamless, high-performance experiences for cloud gaming platforms. * AI agents: Power advanced AI agents with robust, decentralized computing resources. These use cases showcase the versatility of Aleph Cloud’s GPU offering, making it a compelling choice for developers, creators, and businesses alike. # Looking Ahead The release of GPU integration and the accompanying features represents a significant leap forward for Aleph Cloud and its community. As we continue to enhance our platform, we remain committed to empowering users with the tools they need to innovate, scale, and succeed in a decentralized world. To explore these new features and start leveraging GPUs on Aleph Cloud, visit [console.twentysix.cloud](https://console.twentysix.cloud/computing/gpu-instance/) today. For more updates, follow us on Twitter and join our Discord community. Together, let’s redefine the future of cloud computing. *Those pricing are converted in USD from the current price of ALEPH token. This data should evolve in time*

On February 20, 2025, Zeeve, a prominent provider of blockchain infrastructure solutions, unveiled Cogitus, a one-click deployment platform for Avalanche Layer 1 (L1) testnets. This innovative platform allows Web3 startups and developers to launch fully functional public testnets for just $50 for the first six months. Traditionally, deploying an independent L1 network has required significant resources and extensive DevOps expertise, but Cogitus aims to simplify this process, making it more accessible for developers across various industries, including gaming and finance. Avalanche L1s have gained popularity due to their customizable and sovereign blockchain environments. They offer independent governance, validator structures, and economic models while ensuring interoperability within the broader Avalanche ecosystem. With the launch of Cogitus, developers can now deploy and experiment with their own testnets, adjusting configurations in real-time to fit their specific use cases. This flexibility positions Avalanche L1s as a preferred solution for high-performance decentralized applications (dApps) and Web3 startups looking for scalable blockchain solutions. Key features of Cogitus include fully loaded public testnets with preconfigured validator nodes, RPC endpoints, and dedicated explorers, all ready for deployment. The platform automates network configuration, eliminating the technical complexities that often accompany such setups. Additionally, it offers 24/7 proactive monitoring and multi-cloud redundancy to ensure high availability. With a discounted mainnet deployment available for $995, Cogitus by Zeeve is set to revolutionize the way developers launch and scale Avalanche L1s, enabling rapid innovation in sectors like gaming, DeFi, and AI-driven networks.

On February 20th, 2025, in Shanghai, China, Phoenix, a decentralized AI compute network, announced a strategic partnership with TandemAI, a leading firm in AI drug discovery technology. This collaboration aims to deploy TandemAI's advanced AI drug discovery platform, TandemViz, on Phoenix's SkyNet AI compute layer. The integration will facilitate a custom lightweight version of TandemViz to operate on SkyNet's AI node network, allowing research organizations, laboratories, and pharmaceutical companies to access the system at no initial cost, with the potential for significantly reduced operational expenses as they scale their usage. The significance of this partnership extends beyond mere technological integration; it represents a transformative shift in the accessibility of AI solutions in drug discovery. Previously, such high-cost and computationally intensive solutions were predominantly available to large corporations. However, this collaboration aims to democratize access, making it feasible for smaller entities, including individual researchers and labs, to leverage these advanced tools. This development is particularly relevant to the decentralized science (DeSci) sector, as it introduces industry-specific AI research tools that can enhance the value proposition of DeSci initiatives, potentially leading to the establishment of decentralized autonomous organizations (DAOs) that provide funding for targeted research causes. TandemAI, founded by industry veteran Lanny Sun, has rapidly grown to employ over 350 professionals, including more than 50 award-winning AI and computational chemists. The firm boasts a client base of over 80 large pharmaceutical companies worldwide. Meanwhile, Phoenix's SkyNet Compute Layer is designed for scalability and efficiency, supporting a diverse range of applications within its AI ecosystem, which includes over 130 applications focused on AI for trading, gaming, and DeSci. This partnership is poised to accelerate innovation in the AI drug discovery space, backed by the $20 million Phoenix AI Ecosystem Fund, launched by JDI Group and Tensor Ventures.

In a groundbreaking collaboration, Phoenix, a provider of DePIN AI infrastructure, has teamed up with Tandem AI, an innovative platform specializing in integrated drug discovery. This partnership will see Phoenix deploying TandemViz on its AI compute layer, SkyNet. TandemViz is designed to streamline the drug discovery process by integrating advanced physics-based and AI-driven software with tools that facilitate the management and analysis of wet lab results. Meanwhile, SkyNet serves as a decentralized infrastructure that supports the entire AI compute lifecycle, from training and inference to scaling and deploying AI models with ease. The integration of AI into drug discovery is transforming the industry by addressing the challenges of time and cost associated with traditional methods. The vast chemical space, filled with millions of molecules, complicates drug development, making it a lengthy and expensive endeavor. AI drug discovery accelerates this process by identifying promising compounds and validating drug targets more efficiently. With the new partnership, a lightweight version of TandemViz will be accessible to smaller organizations and independent researchers, democratizing access to advanced AI drug discovery tools that were previously limited to large corporations with substantial resources. This collaboration not only enhances the capabilities of both Phoenix and Tandem but also contributes to the growth of the decentralized science (DeSci) movement. By leveraging decentralized architectures, the partnership aims to provide greater value to the DeSci community, highlighting the potential of these technologies in advancing scientific research. With Tandem's impressive team of over 350 employees and a client base of more than 80 large pharmaceutical companies, this partnership is poised to make significant strides in the field of drug discovery and beyond.

In the midst of ongoing market volatility, Bittensor (TAO) has displayed a remarkable bullish trend, with its price soaring over 33% in just one week. This surge reflects a growing buying sentiment among investors, as evidenced by a 15.61% increase in the last 24 hours and a trading volume reaching $320.474 million. The Year-to-date (YTD) return stands at +4.17%, indicating a strong bullish outlook for this altcoin. Technical indicators such as the Moving Average Convergence Divergence (MACD) suggest a consistent rise in buying pressure, while the EMA 50/200-day trendlines hint at a potential Golden Cross, further supporting the optimistic price trajectory for TAO. As the market sentiment remains positive, analysts speculate whether Bittensor can reach a new 52-week high. If the bullish momentum continues, the TAO price could test its resistance level at $500, and maintaining this level may pave the way for a target of $547. However, should a bearish trend emerge, the altcoin may find support at $437.5, with a potential drop to $326 if selling pressure intensifies. Investors are keenly watching these levels as they assess the short-term price prospects of Bittensor in the current market landscape. Looking ahead, the long-term outlook for TAO appears promising, with projections suggesting that if bullish sentiment persists, the price could range between $634 and $1,098 by the end of the year. In an even more optimistic scenario, analysts believe Bittensor could reach a maximum trading value of $3,798. As the cryptocurrency market evolves, Bittensor remains a focal point for investors seeking to capitalize on its potential growth.