Hub - Human Trust Protocol fiyatıHUB

SCI HUB 🎢

A Play to Earn hub connecting gamers and guilds with seamless rewards across blockchain games.

Justin Sun said they invests $30 million in Trump's family project World Liberty Financial as its largest investor. He said the U.S. is becoming the blockchain hub, and Bitcoin owes it to Donald Trump. World Liberty Financial, which had planned to issue a stablecoin, appointed Paxos co-founder Rich Teo as head of the business.

Nvidia and SoftBank are playing pivotal roles in advancing Japan's AI supercomputing landscape. By combining Nvidia's cutting-edge GPU technology with SoftBank's extensive network and infrastructure, they are looking to create a robust environment for AI research and development. ### Key Developments: 1. **AI Supercomputing Investments**: Nvidia has been significantly investing in partnerships and infrastructure in Japan, aiming to enhance local capabilities in AI and machine learning. This includes providing powerful GPUs that are essential for training complex neural networks and running large-scale simulations. 2. **SoftBank's Role**: As a major telecommunications and technology conglomerate, SoftBank brings its expertise in cloud services and telecommunications, which are crucial for the deployment of AI technologies. Their existing infrastructure can facilitate the integration of supercomputing resources across various industries. 3. **Research Collaboration**: Joint ventures and research initiatives are being established to harness AI for various applications such as healthcare, finance, and autonomous vehicles. These collaborations are designed to foster innovation and develop specialized tools and applications that leverage supercomputing power. 4. **Government Support**: The Japanese government is increasingly recognizing the importance of AI and supercomputing for national competitiveness. Initiatives to support these collaborations are likely being discussed to align with Japan's broader strategy for technological advancement. 5. **Global Impact**: Japan's focus on AI and supercomputing positions it as a key player in the global tech landscape. As Nvidia and SoftBank push forward, their efforts may inspire similar initiatives in other countries, creating a ripple effect that could enhance global AI capabilities. ### Conclusion The partnership between Nvidia and SoftBank represents a strategic effort to bolster Japan's position in the global AI supercomputing arena. This collaboration has the potential to drive significant advancements in technology, research, and industry applications, making Japan a crucial hub for AI innovation in the coming years.

When you think about the leading narratives in this bull run, AI comes to mind first. Every protocol is different, but Solana takes the lead. This is why I researched $TAI. What are the factors driving it forward? Simple. TARS AI is pushing boundaries in AI accessibility and Web3 infrastructure. @tarsprotocol offers a comprehensive AI suite integrated within the blockchain, acting as an aggregation layer and a hub for AI model deployment. $TAI is at the center of all, bringing decentralized, high-performance AI tools to projects and institutions that demand scale and stability. The AI power that $TAI manages on-chain is: $TAI: 8,200 AI model deployments Other platforms: <2,500 @tarsprotocol infrastructure efficiently delivers scalable, modular AI solutions in this fast-growing sector with over 1M TARS prompt. Why This Matters With Solana as its orchestration layer, $TAI achieves streamlined access to GPU resources and a diverse array of pre-trained AI models at a fraction of the cost of traditional compute providers, creating a highly efficient, permissionless AI marketplace accessible to everyone, from developers to enterprises. What are the demand factors? - Access to AI Services: TAI is used to access various AI tools and applications offered by @tarsprotocol, including the AI Console, AI Hub, and Tars Search Engine. - Staking and Rewards: Stake TAI to access unlimited GPU power and other benefits, such as validator nodes and revenue from the AI Hub. - Developer Incentives: Developers contributing to and optimizing AI models within the Hub are rewarded with TAI. - Buyback and Burn Mechanism: This involves the following: 1. Revenue Generation: Users incur fees when taking loans in TAI. 2. Surplus Buffer: The collected fees are first used to maintain a 'surplus buffer' of TAI, which covers operational expenses such as system maintenance and collateral price updates. 3. Surplus Auctions: The excess TAI is auctioned in exchange for RATE once the surplus buffer exceeds a certain threshold. 4. Burning RATE: The RATE acquired is permanently removed from circulation by sending them to an 0x000..00 address, reducing the total supply. The AI industry is faced with sky-high traditional cloud costs. This is why @tarsprotocol was built to democratize AI resources, enabling scalability without prohibitive costs. This extends $TAI’s utility across sectors. Thanks for reading! Don't forget to DYOR.