Raunaque Raza

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▶️ Decentralized Compute: Faster, More Reliable, and Cheaper - io.net's Contribution ▪️ Centralized compute has inherent limitations in scalability and resilience. ▪️ This necessitates a shift towards decentralized compute models. ▪️ io.net is actively building a distributed computing network. ▪️ Io.net's approach involves aggregating computational resources from diverse sources. ▪️ This aggregation aims to address the limitations of centralized systems. ⏺️ Key benefits promised by io.net's approach include: ▪️ Faster processing times. ▪️ Improved fault tolerance (reliability). ▪️ Potential for significant cost savings. ▪️ Efficient utilization of computational resources. ▪️ Io.net's ongoing development indicates a strong commitment. ▪️ Their goal is to build a robust and performant alternative to traditional infrastructure.

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ITAP Immersed in the natural beauty

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▶️ TheoriqAI (blockchain-based AI agents) teams up with io.net (decentralized GPU network) to boost development for Theoriq’s 2024 mainnet launch. ⏺️ Key Points: ▪️Scalability: io.net’s H100/H200-powered network delivers ultra-low latency for Theoriq’s AI swarms and cross-chain data integration. ▪️Cost: 90% savings vs. traditional cloud compute, freeing resources for advanced AI projects. ▪️Mutual Benefits: Theoriq gains affordable infrastructure; io.net expands use cases and GPU demand. ▪️Impact: Fuels innovation in DeFi, gaming, data analytics, and collaborative AI ecosystems. ▪️Future: Merges cutting-edge infrastructure with blockchain-native AI, positioning both as pioneers in decentralized AI innovation.

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Beautiful view of Shimla

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GameSwift x io.net: ▶️ Core Ecosystem: GameSwift is building a Web3 gaming ecosystem combining AI tools, infrastructure, and an incubator to empower developers. It supports creators from concept to launch with mentorship and resources. ▶️ Partnership with io.net: ◾Desktop Launcher Upgrade: Users can now contribute CPU/GPU power to AI development while accessing Web3 games. ◾AI-Driven Gaming: Leverages io.net’s decentralized GPU network for smoother in-game AI features and 90% cheaper compute vs. traditional providers. ▶️ Key Benefits: ◾For GameSwift: Cost-efficient AI infrastructure enables ambitious, AI-integrated game designs. ◾For io.net: Access to GameSwift’s growing community creates steady demand for decentralized cloud services. ▶️ Future Impact: ◾Demonstrates the power of DePIN (Decentralized Physical Infrastructure Networks) in Web3 gaming. ◾Paves the way for AI-driven game economies and player-centric monetization models.

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▶️ Crunchdao.com partners with io.net to scale decentralized AI by leveraging global GPU resources. CrunchDAO crowdsources predictive models via “crunches” (on-chain challenges) using its 8,000+ data scientists, while io.net provides cost-effective, decentralized GPU clusters. The collaboration aims to: ⏺️ Boost resilience by avoiding centralized GPU bottlenecks. ⏺️ Cut costs via underutilized global GPUs, enabling micro-predictions. ⏺️ Democratize access to high-performance AI tools for ML engineers. ⏺️ Accelerate innovation in DeFi, TradFi, and on-chain economies. ▶️ Key Players: ⏺️ Crunchdao.com: Solana-based protocol with a global community (1,200+ PhDs) solving predictive challenges. ⏺️ io.net: Decentralized GPU network for low-latency AI/ML workloads. ▶️ Impact: Unlocks scalable, affordable compute power to advance decentralized machine learning.

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Exploring Shimla

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⏺️ Phala Network, a decentralized co-processor, partners with io.net, gaining access to a massive GPU/CPU network. This significantly expands Phala's computational resources. ⏺️ The collaboration enhances Phala's capacity for complex dApp computations, especially in AI, while ensuring data privacy. ⏺️ Leveraging io.net's cost-effective infrastructure allows Phala to offer more affordable and scalable decentralized solutions. ⏺️ This partnership positions Phala as a strong alternative to traditional, centralized cloud providers. ⏺️ The alliance marks a key advancement in developing efficient, secure, and scalable decentralized applications.

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🤝The Collaboration Between SQD.ai and io.net: SQD.ai is a decentralized data layer that allows developers to use historical blockchain data cheaply. It's up to 90% cheaper than centralized providers like Alchemy and Infura. ⏺️Partnership with io.net: SQD.ai has enhanced its capabilities by partnering with io.net. io.net has a network of over 300,000+ GPUs across 130+ countries, which will help SQD.ai handle very large data easily. ⏺️ Benefits for Both: SQD.ai gets faster processing from io.net's GPUs. io.net providers can now offer SQD.ai's high-quality data, increasing their earnings. Developers will get access to affordable, high-quality data and computing power, making it easier to build complex tools like AI training environments. ⏺️ What the Future Holds: ▶️Get fast computing resources at low cost. ▶️Easily access historical blockchain data. ▶️Be able to build advanced tools like cross-chain data markets.

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Securing the necessary infrastructure, particularly powerful GPUs, is a well-known challenge in AI development, often hindering students and early-career professionals due to financial limitations. io.net is reportedly addressing this by providing a platform that allows developers to focus on building AI applications without the traditional need for extensive marketing or substantial initial investment in hardware or cloud services.

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Exceptional cluster stability (over 99%) and a swift average creation time of 1m 52s highlight io.net's dedication to elite product performance and its ability to adapt compute infrastructure for evolving needs.

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A mutually beneficial partnership between Nesa and io.net is driving innovation in decentralized AI. Nesa gains access to crucial GPU resources, enabling them to expand their platform, while io.net establishes a reliable demand stream. This collaboration reinforces the power of decentralized networks in supporting advanced AI workloads.

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At io.net event

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Decentralized computing is making inroads into the trading world. A trading platform, MAIGA is leveraging io.net’s IO Intelligence, aiming to provide users with AI-powered market analysis and faster data processing. This move showcases the potential of decentralized networks to provide robust AI infrastructure for complex financial applications.

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🤝OpenLedger & io.net: Powering a Decentralized AI Revolution ▶️OpenLedger’s Tech: Blockchain for transparent AI data attribution (PoA) since 2015. ▶️Centralized Cloud Issues: Expensive, restrictive for smaller projects. io.net’s Edge: Democratizes GPU access, cutting costs for OpenLedger’s AI training. Synergy: ▶️OpenLedger grows faster; io.net becomes a go-to for affordable compute. ▶️Next Phase: Post-testnet, decentralized AI models could disrupt industries via real-time applications and user-centric tools.

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io.net and Wondera: Pioneering AI Music Through Decentralized Compute The collaboration between io.net and Wondera represents a significant step forward in the application of decentralized computing to AI-driven music innovation. Wondera, an AI music research company, is leveraging IO.net's decentralized GPU network to train and deploy its cutting-edge AI models for music generation. ▶️ Partnership Benefits: * io.net provides Wondera with the necessary GPU resources and infrastructure to train and deploy their AI models, enabling them to scale their operations. * Wondera's innovative use cases showcase the power of io.net's decentralized compute platform. * The partnership allows for the exploration of the idea of decentralized AI agents, and the construction of new economies around them.

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