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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

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Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Securitize Integrates with Ripple to Boost Instant Liquidity for Tokenized Treasury

Securitize Integrates with Ripple to Boost Instant Liquidity for Tokenized Treasury

Securitize and Ripple set to enable instant RLUSD liquidity for tokenized treasuries to streamline institutional finance and boost DeFi access.

Author: Blockchainreporter

2025/09/24

Sam Altman says concerns over his $850 billion OpenAI expansion are valid

Sam Altman says concerns over his $850 billion OpenAI expansion are valid

The post Sam Altman says concerns over his $850 billion OpenAI expansion are valid appeared on BitcoinEthereumNews.com. Sam Altman says people are right to be worried about the size of OpenAI’s new expansion, but he isn’t backing down from it. Speaking from a construction site in Abilene, Texas, where OpenAI is building its first mega data center, the CEO told reporters on Tuesday that the $850 billion infrastructure rollout is necessary. “People are worried. I totally get that,” Sam said. “We are growing faster than any business I’ve ever heard of before.” As Cryptopolitan reported, OpenAI is now committed to building data centers powered by 17 gigawatts of energy, roughly the same output as 17 nuclear plants or nine Hoover Dams. The electricity load alone could power more than 13 million U.S. homes. Each site costs about $50 billion, and in total the buildout is almost half of the global $2 trillion AI infrastructure push forecasted by HSBC. Sam explained that the scale is just a response to a huge spike in demand. Over the last 18 months, ChatGPT usage has jumped 10x. To handle it, Sam said OpenAI needs an entire network of supercomputing sites. “This is what it takes to deliver AI,” he said. “Unlike earlier versions of the internet, this requires massive infrastructure. And this is only a fraction of it.” Partners lock in funding, power, and leadership to meet AI demand The biggest issue isn’t money or chips, according to Sam, but power. “Electricity is the constraint,” he said. He led a $500 million funding round for Helion Energy, a fusion firm building a test reactor, and also helped take fission startup Oklo public through his own SPAC. Not everyone’s convinced. Critics say the whole setup smells like a bubble. Companies tied to OpenAI, like Nvidia, Oracle, Microsoft, and Broadcom, have seen trillions in value added. Nvidia and Microsoft alone are now worth…

Author: BitcoinEthereumNews

2025/09/24

Sam Altman confirmed OpenAI's $850 billion expansion is real and driven by massive AI demand

Sam Altman confirmed OpenAI's $850 billion expansion is real and driven by massive AI demand

Sam Altman says people are right to be worried about the size of OpenAI’s new expansion, but he isn’t backing down from it. Speaking from a construction site in Abilene, Texas, where OpenAI is building its first mega data center, the CEO told reporters on Tuesday that the $850 billion infrastructure rollout is necessary. “People […]

Author: Cryptopolitan

2025/09/24

The three major U.S. stock indexes all fell, with Nvidia down nearly 3% and Oracle down 4.3%.

The three major U.S. stock indexes all fell, with Nvidia down nearly 3% and Oracle down 4.3%.

PANews reported on September 24th that U.S. stocks closed on Tuesday, with the Dow Jones Industrial Average initially closing down 0.19%, the S&P 500 down 0.55%, and the Nasdaq down 0.95%. Nvidia (NVDA.O) fell nearly 3%, Oracle (ORCL.N) fell 4.3%, and TSMC (TSM.N) rose 3.7%.

Author: PANews

2025/09/24

OpenAI reveals Stargate AI facility in Texas, projects planned in five more states

OpenAI reveals Stargate AI facility in Texas, projects planned in five more states

The post OpenAI reveals Stargate AI facility in Texas, projects planned in five more states appeared on BitcoinEthereumNews.com. OpenAI revealed plans Tuesday to build six large computer facilities across the country, adding to its current Texas location as part of a massive $500 billion spending plan that President Donald Trump highlighted earlier this year. The company behind ChatGPT is working with Oracle and Softbank through a partnership called Stargate to construct these new sites. Two more will go up in Texas, with additional locations planned for New Mexico, Ohio, and another Midwest state that hasn’t been named yet. The biggest project sits in Abilene, Texas, where city leaders say the development is changing their old railroad community. Oracle officials who toured the eight-building site said it’s already set to become the world’s largest computer cluster for artificial intelligence work once construction wraps up. The complex will house hundreds of thousands of specialized computer chips. Sam Altman from OpenAI admitted that most people don’t think about what happens behind the scenes when they use ChatGPT. He and Clay Magouyrk, Oracle’s new co-chief, talked about their efforts to limit environmental damage in this dry part of West Texas, where temperatures reached 97 degrees Tuesday. “We’re burning gas to run this data center,” Altman said, though he noted that Stargate hopes to use different power sources as the project grows. The Texas facility needs roughly 900 megawatts of electricity to run all eight buildings and their computer chips. One building is already working, and a second that the executives visited Tuesday is almost done. Each equipment rack holds 72 of Nvidia’s GB200 chips, which handle the most demanding artificial intelligence tasks. Each building should contain about 60,000 of these chips. Residents have mixed reactions to the OpenAI project Not all residents are pleased because of the facility’s water and power requirements. The city’s water reservoirs were about half-full this week. People…

Author: BitcoinEthereumNews

2025/09/24

Robot Swarms Could Solve Blockchain’s Oracle Problem, Researchers Say

Robot Swarms Could Solve Blockchain’s Oracle Problem, Researchers Say

New study shows mobile robots can collectively verify real-world data for smart contracts while resisting attacks.

Author: Coinstats

2025/09/24

OpenAI announces five new Stargate data center sites

OpenAI announces five new Stargate data center sites

PANews reported on September 24 that OpenAI announced that its "Stargate" data center infrastructure project will add five new sites in the next three years, providing a total of 7 gigawatts of power capacity. OpenAI announced the news at its flagship site in Abilene, Texas, with partners including Oracle (ORCL.N) and SoftBank. The new sites will be located in Lordstown, Ohio, Shackelford and Milam, Texas, Doña Ana, New Mexico, and an undisclosed location in the Midwest. OpenAI said in a blog post that the company is evaluating more sites, and these new sites allow the company to complete its original plan ahead of schedule, and it expects to lock in a $500 billion investment commitment of 10 gigawatts of power by the end of 2025.

Author: PANews

2025/09/24

Is BullZilla the Next 1000x Meme Coin? Top New Presale in September 2025 While Chainlink and Toncoin Build Utility

Is BullZilla the Next 1000x Meme Coin? Top New Presale in September 2025 While Chainlink and Toncoin Build Utility

The post Is BullZilla the Next 1000x Meme Coin? Top New Presale in September 2025 While Chainlink and Toncoin Build Utility appeared on BitcoinEthereumNews.com. Crypto News 24 September 2025 | 02:15 BullZilla ($BZIL) surges as the top new presale in September 2025 with massive ROI potential. Chainlink expands with SBI, Toncoin eyes $4 breakout. What if a presale could roar louder every 48 hours or whenever $100,000 pours in? That’s the reality investors are facing with BullZilla, the headline beast of the top new presale in September 2025. While established projects like Chainlink strike landmark partnerships with Asian financial giants and Toncoin tests critical breakout levels, BullZilla ($BZIL) is staging a presale designed like a countdown clock, forcing every holder to decide whether they’re early enough to ride the next 6,000% wave. Chainlink’s push into tokenized securities with SBI Group and Toncoin’s fight within its $2.60–$3.40 triangle show how traditional crypto powerhouses are building serious traction. But it is the BullZilla presale hype that’s catching fire across meme coin communities and serious financial circles alike, setting a narrative where every stage passed could be the one investors wish they hadn’t missed the top new presale in September 2025. BullZilla: The Red Candle Buffet Fueling a $620K Presale Frenzy Can a meme coin eat red candles and turn them into explosive green runs? According to the BullZilla presale, yes. Dubbed the Red Candle Buffet, the 4th stage of BullZilla’s saga isn’t just symbolic; it’s full of potential. Each stage shifts every 48 hours or once $100,000 is raised, forcing investors into a ticking-clock race where hesitation costs ROI. BullZilla Presale Snapshot Metric Value Stage 4th (Red Candle Buffet) Phase 1st Price $0.00008574 Raised Over $620K Holders 2000+ Tokens Sold 28B+ ROI Potential 6048.13% at $0.00527 Here’s the potential: At today’s stage price of $0.00008574, a $5,500 investment yields 64,147,656 $BZIL tokens. When $BZIL hits its listing target of $0.00527, that investment transforms into approximately $338,059,…

Author: BitcoinEthereumNews

2025/09/24

OpenAI’s Monumental Stargate Expansion: Fueling the Future of AI

OpenAI’s Monumental Stargate Expansion: Fueling the Future of AI

BitcoinWorld OpenAI’s Monumental Stargate Expansion: Fueling the Future of AI The world of artificial intelligence is experiencing an unprecedented surge, with innovations emerging at a breathtaking pace. For those tracking the digital frontier, including the dynamic cryptocurrency space, the foundational infrastructure supporting these advancements is just as crucial as the breakthroughs themselves. Imagine the sheer computational muscle required to power the next generation of AI models, the kind that could redefine industries and even human interaction. This is precisely what OpenAI is gearing up for, embarking on an ambitious journey to construct a network of colossal AI data centers known as Project Stargate. This massive undertaking, backed by industry giants Oracle and SoftBank, signals a new era in AI development, promising to reshape the technological landscape as we know it. What is Project Stargate and Why Does it Matter? Project Stargate is not just another data center initiative; it’s a vision for a supercomputing backbone designed to meet the insatiable demands of advanced AI. At its core, Stargate represents OpenAI‘s commitment to pushing the boundaries of artificial general intelligence (AGI). The sheer scale of this project is astounding, with a planned capacity of seven gigawatts. To put that into perspective, seven gigawatts is enough energy to power more than five million homes. This monumental energy requirement underscores the immense computational needs of training and deploying increasingly complex AI models, from large language models to advanced generative AI. For anyone invested in the future of technology, understanding the infrastructure behind AI breakthroughs is key. Stargate isn’t just about housing servers; it’s about creating an ecosystem where AI can truly flourish, enabling faster training times, more sophisticated algorithms, and ultimately, more powerful and versatile AI applications. The implications of such a project are far-reaching: Accelerated AI Development: With vastly increased computational power, OpenAI can iterate on models more rapidly, leading to quicker advancements. New Capabilities: More powerful infrastructure enables the development of AI models with capabilities previously deemed impossible. Economic Impact: The construction and operation of these facilities will create jobs, stimulate local economies, and attract further investment in tech hubs. Global Competitiveness: Such infrastructure solidifies the position of the United States as a leader in AI innovation. The Power Players: Oracle, SoftBank, and OpenAI‘s Strategic Alliance The success of an undertaking as grand as Project Stargate hinges on strategic partnerships. OpenAI has meticulously chosen its collaborators, tapping into the strengths of two industry titans: Oracle and SoftBank. These alliances are not merely financial; they represent a confluence of technological expertise, global reach, and a shared vision for the future of AI. Oracle‘s Cloud Computing Prowess Oracle, a long-standing giant in enterprise software and cloud infrastructure, brings its robust cloud computing capabilities and expertise in building and managing large-scale data centers. Three of the five new Stargate sites are being developed in collaboration with Oracle, leveraging their Oracle Cloud Infrastructure (OCI) platform. OCI is known for its high performance, scalability, and security, making it an ideal foundation for demanding AI workloads. Oracle’s commitment to supporting cutting-edge AI initiatives aligns perfectly with OpenAI‘s goals, providing the necessary hardware, network, and operational excellence to handle the unprecedented data flows and processing power required. This partnership signifies Oracle’s aggressive push into the AI infrastructure market, positioning them as a critical enabler for the next wave of AI innovation. SoftBank‘s Visionary Investment and Global Reach SoftBank, the Japanese multinational conglomerate known for its extensive investments in technology and telecommunications, is partnering with OpenAI on the remaining two Stargate sites. SoftBank’s involvement is strategic, providing not only significant capital but also its vast network and experience in large-scale infrastructure projects. SoftBank’s vision often involves identifying and nurturing disruptive technologies, and its investment in Stargate underscores the firm’s belief in the transformative power of AI. Their global perspective and ability to mobilize resources across diverse sectors will be invaluable in navigating the complexities of such a massive buildout. This collaboration highlights a shared understanding that foundational infrastructure is paramount for unlocking AI’s full potential. The synergy between these three entities is undeniable: OpenAI: The AI innovator, driving the demand for advanced compute. Oracle: The infrastructure provider, offering scalable and high-performance cloud solutions. SoftBank: The strategic investor and enabler, providing capital and global project expertise. Unpacking the Scale: The Immense Need for AI Data Centers The rapid evolution of AI models, particularly large language models (LLMs) and generative AI, has created an insatiable demand for computational resources. Training these models requires vast amounts of data and billions of parameters, necessitating an unprecedented scale of hardware and energy. This is where the concept of ‘gigawatt-scale’ AI data centers becomes critical. The existing infrastructure, while powerful, simply isn’t sufficient to handle the future needs of AI development. Consider these factors driving the demand: Model Complexity: AI models are growing exponentially in size and complexity, requiring more processing power and memory. Data Volume: Training data sets are enormous, demanding massive storage and high-speed data transfer capabilities. Inference at Scale: Once trained, these models need to serve millions of users, requiring efficient and powerful inference capabilities. Continuous Innovation: The pace of AI research means constant experimentation and retraining, which consumes vast resources. The $100 billion investment from Nvidia, mentioned in the original report, further illustrates this point. This capital is earmarked specifically for acquiring Nvidia’s cutting-edge AI processors – the very chips that power these advanced models – and building out even more AI data centers. It’s a clear signal that the race for AI dominance is fundamentally a race for computational infrastructure. Companies like OpenAI understand that without robust, scalable, and energy-efficient data centers, the theoretical advancements in AI cannot translate into practical, impactful applications. Geographic Footprint: Where are OpenAI‘s New Hubs Located? The strategic placement of these new AI data centers is crucial for operational efficiency, energy access, and disaster recovery. OpenAI‘s expansion includes five new sites across the United States, carefully selected for their potential to support such large-scale operations. Here’s a breakdown of the announced locations: Partner Location Notes Oracle Shackelford County, Texas Leveraging Texas’s energy resources and growing tech infrastructure. Oracle Doña Ana County, New Mexico Strategic location in the Southwest, potentially benefiting from renewable energy initiatives. Oracle Undisclosed location in the Midwest Likely chosen for access to power grids and potentially cooler climates for efficient cooling. SoftBank Lordstown, Ohio Utilizing existing industrial sites and energy infrastructure in the region. SoftBank Milam County, Texas Another significant presence in Texas, highlighting its strategic importance for data center development. These locations are not chosen at random. Factors such as access to reliable and affordable power, fiber optic networks, skilled labor, and favorable regulatory environments play a significant role. Texas, for instance, has become a hotbed for data center development due to its energy grid and pro-business environment. The expansion into the Midwest and Southwest also suggests a strategy of geographical diversification, reducing risks associated with localized natural disasters or energy disruptions. This distributed approach ensures redundancy and resilience, critical for maintaining continuous AI operations. Fueling the Future: The Economic and Technological Impact of Stargate The construction of these new Stargate data centers is more than just an infrastructure project; it’s an investment in the future of technology itself. The economic impact will be substantial, from the creation of thousands of construction and operational jobs to stimulating local economies in the chosen regions. Beyond direct economic benefits, the technological implications are profound. For the broader tech ecosystem, including areas like blockchain and decentralized finance (DeFi), the advancements enabled by Stargate could lead to: More Sophisticated AI Tools: Enhanced AI capabilities could improve fraud detection, predictive analytics, and algorithmic trading in financial markets. Improved Security: AI can play a critical role in cybersecurity, protecting digital assets and infrastructure. Innovation in Web3: Advanced AI could power more intelligent smart contracts, decentralized applications (dApps), and user experiences in the Web3 space. Energy Considerations: The immense power consumption of these centers also brings a focus on sustainable energy solutions, a conversation relevant to all high-energy-consumption industries, including cryptocurrency mining. The challenges are also significant. The sheer energy demand of seven gigawatts raises environmental concerns, pushing for innovations in renewable energy sources and energy efficiency. Cooling these massive facilities efficiently will be another engineering feat. However, the benefits of accelerating AI development are seen as outweighing these challenges, driving further investment in green tech and sustainable practices within the data center industry. Conclusion: A New Dawn for AI Infrastructure OpenAI‘s Stargate project, backed by the formidable resources of Oracle and SoftBank, marks a pivotal moment in the history of artificial intelligence. By committing to build five new gigawatt-scale AI data centers, OpenAI is not just expanding its capacity; it is laying the groundwork for the next generation of AI innovation. This monumental undertaking will provide the computational horsepower necessary to train and deploy models that could redefine industries, from healthcare and finance to education and entertainment. While challenges like energy consumption and environmental impact remain, the strategic partnerships and massive investment underscore a collective belief in the transformative power of AI. As these Stargate hubs come online, they will not only solidify OpenAI‘s leadership but also accelerate the entire AI ecosystem, promising a future where intelligent machines play an even more integrated and sophisticated role in our lives. To learn more about the latest AI market trends, explore our article on key developments shaping AI models features, institutional adoption, etc. This post OpenAI’s Monumental Stargate Expansion: Fueling the Future of AI first appeared on BitcoinWorld.

Author: Coinstats

2025/09/24

Google Cloud AI: Strategic Brilliance in Navigating the AI Giant Wars

Google Cloud AI: Strategic Brilliance in Navigating the AI Giant Wars

BitcoinWorld Google Cloud AI: Strategic Brilliance in Navigating the AI Giant Wars In the rapidly evolving digital landscape, the intersection of artificial intelligence and cloud infrastructure is more critical than ever, especially for the burgeoning cryptocurrency sector that relies heavily on robust computational power. As the world witnesses an unprecedented surge in AI development, major players like Google Cloud are defining their strategies to not only survive but thrive amidst intense competition. For those in the crypto space, understanding these foundational tech shifts is crucial, as the same underlying technologies power everything from blockchain analytics to decentralized AI projects. This article delves into Google Cloud’s insightful approach, as shared by COO Francis deSouza, on how it maintains its competitive edge by focusing on strategic partnerships and innovative solutions, rather than solely chasing the largest AI giants. How is Google Cloud AI Mastering the Competitive Landscape? Google Cloud’s Chief Operating Officer, Francis deSouza, recently shared his perspective on the company’s strategy in the fiercely competitive AI market during an interview with Bitcoin World Editor in Chief Connie Loizos. Far from being stressed, deSouza outlined a confident approach that differentiates Google Cloud from its rivals. While companies like AWS and Oracle aggressively pursue deals with leading AI giants such as OpenAI and Anthropic, Google Cloud is charting its own course. This involves a deliberate focus on fostering growth within the startup ecosystem, a strategy that often yields long-term benefits and innovative partnerships. By nurturing emerging AI companies, Google Cloud aims to build a loyal customer base that scales with its services, ensuring a sustainable competitive advantage in the dynamic AI sector. The conversation highlighted Google Cloud’s unique position: Strategic Focus on Startups: Rather than solely vying for the largest AI deals, Google Cloud invests in and supports promising AI startups, providing them with the infrastructure needed to innovate and grow. Competitive Differentiation: This approach allows Google Cloud to cultivate a diverse portfolio of clients and solutions, reducing reliance on a few dominant players. Ecosystem Building: By empowering startups, Google Cloud contributes to a broader, more vibrant AI ecosystem, fostering innovation that can benefit the entire industry, including specialized applications for blockchain and crypto. Navigating the Realm of AI Giants: A Differentiated Approach The AI landscape is a complex web of relationships. While Google Cloud provides essential infrastructure services, its parent company, Google, is a fierce competitor in the generative AI space. This intricate dynamic extends further, with Google holding investment stakes in some of its supposed rivals. DeSouza emphasized that Google Cloud’s strategy isn’t about avoiding the AI giants entirely, but rather about a nuanced engagement that recognizes the multi-faceted nature of the industry. The company aims to be the indispensable platform for AI development, regardless of who is building the models. This involves offering cutting-edge tools, reliable infrastructure, and flexible solutions that cater to a wide spectrum of AI development needs, from large-scale enterprise deployments to agile startup projects. Key aspects of this approach include: Strategy Component Description Benefit for Google Cloud Infrastructure Provider Offering robust cloud services to all AI developers, including rivals. Establishes Google Cloud as a foundational layer for the entire AI industry. Startup Engagement Targeting emerging AI companies with tailored solutions and support. Cultivates future industry leaders and diversifies customer base. Technological Innovation Continuous development of advanced AI-specific cloud tools and hardware. Attracts and retains customers seeking cutting-edge capabilities. The Core of Innovation: Strategic Cloud Computing for the Future At the heart of Google Cloud’s strategy is its unparalleled cloud computing infrastructure. This robust foundation enables Google Cloud to offer scalable, secure, and high-performance environments essential for demanding AI workloads. From data storage and processing to machine learning model training and deployment, Google Cloud provides a comprehensive suite of services. This commitment to foundational technology ensures that whether a client is a burgeoning startup or an established enterprise, they have access to the resources needed to push the boundaries of AI. The ongoing advancements in Google Cloud’s computing capabilities are not just about keeping pace; they are about setting new standards for efficiency and innovation in the AI development lifecycle, making it an attractive partner for any company serious about AI. Addressing the Critical GPU Shortage: Google Cloud’s Advantage One of the most significant challenges facing the AI industry today is the persistent GPU shortage. Graphics Processing Units (GPUs) are the backbone of modern AI, crucial for training complex machine learning models. DeSouza discussed how Google Cloud is strategically approaching this bottleneck. By investing heavily in its own custom-designed AI accelerators, such as Tensor Processing Units (TPUs), Google Cloud offers an alternative to conventional GPUs. This proactive approach not only mitigates the impact of the global GPU scarcity for its customers but also provides a performance-optimized environment specifically tailored for AI workloads. This unique advantage helps Google Cloud attract and retain customers, ensuring they have consistent access to the computational power required to bring their AI innovations to life, even when market supplies are tight. Fueling Growth: Why AI Startups are Key to Google Cloud’s Success Google Cloud’s focus on AI startups is a cornerstone of its long-term growth strategy. By providing these nascent companies with accessible, scalable, and cost-effective cloud solutions, Google Cloud helps accelerate their development and market entry. This isn’t merely a philanthropic endeavor; it’s a shrewd business move. Today’s startups are tomorrow’s industry leaders, and by supporting them from the ground up, Google Cloud builds strong, lasting relationships. These relationships often translate into substantial future revenue as these startups mature and expand their operations. Furthermore, partnering with innovative startups allows Google Cloud to stay at the forefront of emerging AI trends and technologies, often integrating new capabilities and insights gleaned from these collaborations back into its core offerings. This symbiotic relationship ensures a continuous cycle of innovation and growth for both Google Cloud and its diverse clientele. Google Cloud’s COO, Francis deSouza, isn’t just navigating the AI landscape; he’s strategically shaping it. By focusing on fostering innovation within the startup ecosystem, providing robust cloud computing infrastructure, proactively addressing the GPU shortage with proprietary hardware, and intelligently engaging with the complex web of AI giants, Google Cloud is securing a powerful and sustainable position in the future of artificial intelligence. This measured yet ambitious approach ensures that Google Cloud remains a vital partner for anyone building the next generation of AI-powered solutions, from blockchain applications to generative models, cementing its role as a foundational pillar of the digital economy. To learn more about the latest AI market trends, explore our article on key developments shaping AI models features. This post Google Cloud AI: Strategic Brilliance in Navigating the AI Giant Wars first appeared on BitcoinWorld.

Author: Coinstats

2025/09/24

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