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🚀 Gradient Network Secures New Funding Round To Enhance Decentralized Protocols

According to PANews, Gradient Network, a Solana ecosystem edge computing open layer, announced on the X platform that it has completed a new round of financing. The round saw participation from notable investors including Pantera Capital, Multicoin Capital, and Sequoia Capital. While specific details regarding the amount raised and the valuation were not disclosed, the new funds will be directed towards advancing its decentralized protocol and developing solutions for converting computing power and staking within blockchain networks.

#GradientNetwork #DecentralizedProtocols #Solana #EdgeComputing #Blockchain #PanteraCapital #MulticoinCapital #SequoiaCapital #SOL
🚀 AI Development Shifts Towards Everyday Devices, Says Theta Labs CEO

According to PANews, Theta Labs CEO Mitch Liu has highlighted a significant shift in AI development, moving from being dominated by tech giants to leveraging everyday devices like smartphones. Liu noted that the idle computing power of over 1.2 billion smartphones globally is becoming a new driving force for AI advancement. This approach, known as 'edge computing,' utilizes mobile devices to reduce latency, enhance privacy protection, and decrease bandwidth consumption. It is particularly beneficial for real-time applications such as autonomous driving and augmented reality.

Liu also emphasized that blockchain technology can support this decentralized AI network by enabling secure and transparent sharing of computing resources. This new model helps reduce AI development's reliance on data centers while providing new revenue streams for individuals and small to medium-sized enterprises. The integration of blockchain and edge computing represents a promising direction for the future of AI, offering both technological and economic benefits.


#AIDevelopment #EdgeComputing #ThetaLabs #Smartphones #Blockchain #DecentralizedAI #RealTimeApplications #AutonomousDriving #AugmentedReality #PrivacyProtection #EconomicBenefits
🚀 AI's Growing Demand For Resources And The Role Of Blockchain

According to BlockBeats, on September 28, the CEO of Theta Labs, the parent company of the decentralized video network Theta Network, expressed that AI's demand for resources is insatiable. AI consumes vast amounts of electricity and data, with an estimated usage of 460 terawatt-hours (TWh) in 2022. This figure is expected to significantly increase to between 620 and 1050 TWh by 2026. However, the most critical need for AI is computing power, which supports complex model training, large dataset analysis, and extensive inference execution.

Smartphones and tablets represent a massive, nearly untapped resource of global computing power. In 2024 alone, it is projected that 1.21 billion devices will be shipped, and the true potential of their idle computing power is difficult to estimate.

Blockchain technology is highly suitable for this distributed AI ecosystem. Its decentralized nature aligns seamlessly with the goal of utilizing the idle computing power of millions of devices worldwide. By leveraging blockchain technology, a secure, transparent, and incentivized framework for sharing computing resources can be created.

The future of AI innovation does not lie in building larger data centers but in harnessing the power already present in pockets and homes. By shifting the focus to edge computing, a more inclusive, efficient, and innovative AI ecosystem can emerge. This decentralized approach not only democratizes AI but also aligns with global sustainability goals, ensuring that the benefits of AI are not limited to a privileged few.


#AI #Blockchain #Decentralized #ComputingPower #Sustainability #EdgeComputing #ThetaNetwork #Smartphones #ResourceSharing #Innovation
🚀 Storj Acquires PetaGene To Enhance Distributed Cloud Services

According to BlockBeats, on October 8, Storj announced the acquisition of PetaGene, the creator of cunoFS, to bolster the growth momentum driven by its recent acquisition of distributed GPU provider Valdi. Storj now offers distributed cloud object storage, on-demand GPU computing, and distributed file storage installations. These capabilities collectively provide seamless access to distributed cloud services for video and AI workloads, enhancing performance, security, cost efficiency, and carbon savings for more edge and global customers.

PetaGene developed cunoFS, a high-performance mounting client poised to revolutionize cloud workflows for data-intensive media and entertainment industries, as well as users of all cloud platforms and object storage providers. In addition to the Linux client, cunoFS introduced a native Windows client at IBC 2024, with a macOS native client expected to launch later this year.


#Storj #PetaGene #cunoFS #CloudServices #DistributedStorage #GPUComputing #VideoWorkloads #AIWorkloads #EdgeComputing #DataIntensive #CloudPlatforms #ObjectStorage #Performance #Security #CostEfficiency #CarbonSavings #STORJ
🚀 Nosana Experiences Significant Price Surge on Solana

According to Foresight News, data from DEX Screener indicates that Nosana (NOS) on the Solana network experienced a significant price surge of over 260% within 40 minutes. The price briefly exceeded 0.0054 USDT before falling back to 0.003386 USDT. The market is currently experiencing high volatility, and Foresight News advises investors to exercise caution and manage risks accordingly.

Nosana operates as a decentralized computing network on Solana, integrating edge computing and blockchain functionalities into the CI/CD market.


#Nosana #Solana #PriceSurge #Cryptocurrency #DEX #Volatility #Investing #Blockchain #EdgeComputing #CICD
🚀 Guidelines Issued To Boost High-Quality Development Of Data Industry

According to Odaily, the National Development and Reform Commission, along with other departments, has released guidelines aimed at promoting the high-quality development of the data industry. The guidelines emphasize the coordinated development of cloud-edge-end computing technologies and support innovation in cloud-native technology models. This initiative seeks to establish computing service capabilities that accommodate large-scale data aggregation, real-time analysis, and intelligent applications.

The guidelines also call for enhanced research and development of new storage technologies to support large-scale, real-time cross-domain data storage and flow, thereby increasing the proportion of intelligent storage usage. In the context of artificial intelligence development, the guidelines aim to improve the intelligence level of data collection, management, and application. Additionally, there is a focus on strengthening core technology breakthroughs in areas such as data annotation and data synthesis.

The document further highlights the need to accelerate the research, development, and application of trusted circulation technologies, including trusted data spaces, blockchain, privacy computing, and anonymization.


#DataIndustry #HighQualityDevelopment #CloudComputing #EdgeComputing #CloudNative #IntelligentApplications #DataStorage #ArtificialIntelligence #DataManagement #CoreTechnologies #Blockchain #PrivacyComputing #Anonymization
🚀 FLock Launches FL Alliance For Distributed AI Training On Consumer Devices

According to Odaily, FLock has officially launched the FL Alliance, a framework designed for distributed training of large language models on consumer devices. By integrating edge computing and federated learning technologies, FL Alliance enables AI model training on user-end devices such as smartphones and laptops. The framework is now fully compatible with Apple's M series chips, offering developers a more efficient and secure method for AI training. On the same day, at 4:40 AM UTC+8, Grayscale announced that its future investment product candidate list includes various digital assets, among which is $FLOCK. This announcement led to a rapid increase in the price of $FLOCK, which rose by 18.28% by 9 PM.

#FLock #FLAlliance #DistributedAI #FederatedLearning #EdgeComputing #ConsumerDevices #AppleMSeries #DigitalAssets #Investment #Cryptocurrency
🚀 Tether CEO Predicts Shift In AI Model Training

According to PANews, Tether CEO Paolo Ardoino recently stated on Twitter that future advancements in AI model training will no longer require millions of GPUs. He criticized the current reliance on brute computational power as inefficient and inelegant. Ardoino suggested that superior models will significantly reduce training costs, emphasizing that data acquisition remains crucial. He also predicted a shift towards local or edge-based inference to avoid wasting billions of dollars on mere computational power.

#Tether #AI #ModelTraining #PaoloArdoino #ComputationalPower #DataAcquisition #EdgeComputing
🚀 Gradient Network Secures $10 Million in Seed Funding

According to BlockBeats, Gradient Network, a Solana ecosystem edge computing platform, has successfully raised $10 million in a seed funding round. The investment was led by Pantera Capital and Multicoin Capital, with participation from HSG and several angel investors and advisors from the AI, cryptocurrency, and other sectors.

Gradient Network aims to democratize computing services and drive innovation in edge computing.


#GradientNetwork #SeedFunding #Solana #EdgeComputing #PanteraCapital #MulticoinCapital #Investment #DemocratizeComputing #Innovation
🚀 Shift in AI Industry Towards Local Models and Edge Computing

According to PANews, the AI industry is witnessing a notable shift from centralized large-scale models to local small models and edge computing. This trend is evident in developments such as Apple Intelligence's coverage of 500 million devices, Microsoft's introduction of the Windows 11-specific small model Mu with 330 million parameters, and Google DeepMind's offline robot operations.

Cloud-based AI focuses on parameter scale and training data, with financial resources being a key competitive factor. In contrast, local AI emphasizes engineering optimization and scenario adaptation, enhancing privacy, reliability, and practicality. The illusion problem of general models significantly impacts vertical scenario penetration.

This shift presents greater opportunities for web3 AI. Previously, the competition in general capabilities (computing, data, algorithms) was dominated by traditional giants like Google, AWS, and OpenAI, making it challenging for decentralized concepts to compete due to lack of resource, technology, and user base advantages.

However, in the realm of localized models and edge computing, blockchain technology services face a different landscape. When AI models operate on user devices, questions arise about how to prove output integrity and achieve model collaboration while preserving privacy. These are areas where blockchain technology excels.

Several web3 AI projects are addressing these challenges. For instance, Gradient HQ, backed by a $10 million investment from Pantera, has launched the data communication protocol Lattica to tackle data monopoly and black box issues in centralized AI platforms. PublicAI's HeadCap device collects real human data to build an "artificial verification layer," generating $14 million in revenue. These initiatives aim to solve the "trustworthiness" problem of local AI.

In summary, decentralized collaboration becomes essential only when AI truly integrates into every device. Web3 AI projects should consider how to support the infrastructure for the local AI wave rather than competing in the generalized track.


#AI #LocalModels #EdgeComputing #Web3AI #Blockchain #Privacy #Reliability #Decentralization #DataMonopoly #Trustworthiness
🚀 The Emerging Importance of Edge Computing and Storage in AI

Jack Kong, CEO of Nano Labs, posted on X. The significance of edge computing and storage is being redefined as personal AI assistants become extensions of individual capabilities. The computing power and storage capacity one possesses now directly influence personal competitive advantage, shifting from a mere technical concept to a real-world necessity. From a Web3 infrastructure perspective, decentralized storage and edge computing are poised to become the next growth areas. The reevaluation of memory and storage hardware value is just beginning.

#EdgeComputing #Storage #AI #PersonalAI #Web3 #DecentralizedStorage #CompetitiveAdvantage #NanoLabs #JackKong #Memory #StorageHardware