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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
Five marriages, a prodigal son: The wild life of 81-year-old billionaire Larry Ellison

Five marriages, a prodigal son: The wild life of 81-year-old billionaire Larry Ellison

On September 10th local time, 81-year-old Larry Ellison may be the most proud person in the world. According to the Bloomberg Billionaires Index, the billionaire officially became the world's new richest man that day, with his wealth surging by over $100 billion in a single day, replacing long-time holder Elon Musk. As Oracle's co-founder and largest individual shareholder, Ellison's net worth peaked at $393 billion that day, while Musk, who was dethroned by him, was left with only $385 billion. From dropping out of college and being penniless to having five marriages and becoming rich enough to rival a country, why does this 81-year-old man become more and more crazy as he gets older? From abandoned orphan to Silicon Valley billionaire Larry Ellison was born in 1944 in the Bronx, New York, to a 19-year-old unmarried mother. Unable to support her, he was sent to Chicago to be adopted by his aunt's family at nine months old. His adoptive father was an ordinary government employee, and the family was financially struggling. Although he later attended the University of Illinois at Urbana-Champaign, he dropped out during his sophomore year due to the death of his adoptive mother. Ellison then attended the University of Chicago, but left after only one semester. After leaving school, Ellison moved around the United States for years. He worked sporadic programming jobs in Chicago before driving to Berkeley, California, a hub of counterculture and a vibrant tech scene. To him, "people there seemed freer and smarter." What truly changed his life was his job as a programmer at Ampex Corporation in the early 1970s, a technology company specializing in audio and video storage and data processing. It was at Ampex that he participated in a pivotal project: designing a database system for the Central Intelligence Agency (CIA) to efficiently manage and query data. The project was code-named "Oracle." In 1977, 32-year-old Ellison and two former colleagues, Bob Miner and Ed Oates, invested $2,000 (of which Ellison contributed $1,200) to establish Software Development Laboratories (SDL). The first major decision they made was to develop a general-purpose commercial database system based on the experience and relational data model they had previously developed for the CIA - and simply named it "Oracle". In 1986, Oracle went public on NASDAQ and became a rising star in the enterprise software market. Strictly speaking, Ellison is not the "inventor" of database technology, but he was the first person to see its commercial value and dared to all in to use it to open up the market. Ellison, known for his rebellious and competitive nature, has held nearly every executive position in the company. He was president from 1978 to 1996 and first served as chairman from 1990 to 1992. In 1992, he nearly died in a surfing accident, a near-death experience that didn't deter him. He returned to the company in 1995 and remained at the helm for a full decade. In 2014, he stepped down as CEO, handing the reins to a longtime subordinate, but he remains Executive Chairman and Chief Technology Officer, positions he holds to this day. Over the past four decades, Oracle has experienced both highs and lows. It once dominated the database market and also lagged behind in the early days of cloud computing. But through it all, Oracle has remained a key player at the heart of enterprise software, and Ellison has always been the company's soul. Wealth surge: AI's "delayed victory" On September 10, 2025, Oracle announced that it had signed four contracts worth hundreds of billions of dollars in the latest quarter, including a five-year, $300 billion partnership with OpenAI. Following the news, the stock price surged more than 40% in a single day, its biggest one-day gain since 1992. Although Oracle lagged behind Amazon AWS and Microsoft Azure in the early stages of the cloud computing competition, it still occupies a unique position due to its database advantages and deep cultivation of enterprise customers. In the summer of 2025, the company announced a new round of layoffs, totaling thousands of employees, primarily in its hardware sales and traditional software departments. At the same time, Oracle increased its investment in data centers and AI infrastructure, becoming one of the core suppliers of the generative AI boom. The market is enthusiastic about the demand for AI infrastructure, and Oracle happens to have this late ticket, which has also triggered industry evaluations: Oracle has transformed from a "traditional software vendor" to a "dark horse in AI infrastructure." Family and politics Ellison's wealth has long been more than just a personal legend; it has also expanded into a vast empire at the family level. His son, David Ellison, recently acquired Paramount Global, the parent company of CBS and MTV, for $8 billion, $6 billion of which came from Ellison family funds. This deal marks the Ellison family's expansion into Hollywood. With their father in Silicon Valley and their son in the film and television industry, two generations have built a wealth empire spanning technology and media. Ellison has also frequently appeared on the political stage. He has long supported the Republican Party and is a well-known political donor. In 2015, he financed Marco Rubio's presidential campaign; in 2022, he donated $15 million to South Carolina Senator Tim Scott's Super PAC. In January of this year, he appeared at the White House alongside SoftBank CEO Masayoshi Son and OpenAI CEO Sam Altman to announce the construction of a $500 billion network of AI data centers. Oracle technology will be at the core of this effort, representing not only a commercial initiative but also an extension of power. The life of a "prodigal": love of the outdoors, love of self-discipline, love of marriage Luxury and self-discipline, adventure and passion, these contradictory qualities coexist in Ellison. Ellison owns 98% of the Hawaiian island of Lanai, several California mansions, and some of the world's finest yachts. He has an almost instinctive obsession with water and wind. In 1992, he narrowly escaped death while surfing, but he still couldn't let go of the thrill. Later, he devoted more energy to sailing. In 2013, the Oracle Team USA he supported staged a comeback in the America's Cup and eventually won the trophy, which was one of the most classic comebacks in the history of sailing. In 2018, he founded SailGP, the high-speed catamaran sailing league, which has now attracted investors including actress Anne Hathaway and football star Mbappé. Tennis was another of his passions, and he revived the Indian Wells tournament in California, calling it the "fifth Grand Slam." Sports is not only his hobby, but also considered to be his secret to staying young. In a 2018 Quora discussion, a former executive at one of Ellison's startups mentioned that Ellison spent several hours exercising daily in the 1990s and 2000s. He rarely consumed sugary drinks, consuming only water and green tea, and maintained a strict diet. This self-discipline has kept him looking energetic at 81, leading him to be described as "20 years younger than his peers." In terms of personal relationships, Ellison has been married four times and has been involved in constant scandals. In 2024, he quietly married Jolin Zhu, a Chinese-American woman 47 years his junior. The news came from a University of Michigan document that mentioned a donation from "Larry Ellison and his wife, Jolin." This marriage brought his private life back into the public spotlight. According to the South China Morning Post, Jolin Zhu was born in Shenyang, China, and graduated from the University of Michigan. Some netizens joked that Ellison loves surfing and dating. For him, the waves and the romantic scene seem equally attractive. Philanthropy and the Future In 2010, Ellison signed the Giving Pledge, pledging to donate at least 95% of his wealth. Unlike Bill Gates and Warren Buffett, however, he rarely participates in group activities. According to an interview with The New York Times, he "cherishes his solitude and refuses to be influenced by outside ideas." In 2016, he donated $200 million to the University of Southern California to establish a cancer research center. Recently, he announced that he would direct part of his wealth to the Ellison Institute of Technology, a joint venture with Oxford University, to research healthcare, food, and climate change. He wrote on social media: "We will design a new generation of lifesaving drugs, build low-cost agricultural systems, and develop efficient and clean energy." Ellison's philanthropic approach is highly personal. He is not keen on standing with his peers, but prefers to independently design a future that suits his own ideas. Conclusion At the age of 81, Larry Ellison finally became the world's richest man. He began with a CIA contract, built a global database empire, and then astutely positioned himself in the AI wave, achieving a belated comeback. Wealth, power, marriage, sports, and philanthropy—his life was never short of topics, and he was never far from the center of the storm. He's the prodigal son of Silicon Valley—stubborn, combative, and uncompromising. The title of world's richest man may soon change hands, but for now, Ellison has proven to the world that in an era where AI is reshaping everything, the legacy of the older generation of tech moguls is far from over. Author: Seedco

Author: PANews

2025/09/11

Shiba Inu (SHIB) Latest Developments and What is the Best New Cryptocurrency to Invest Today

Shiba Inu (SHIB) Latest Developments and What is the Best New Cryptocurrency to Invest Today

The post Shiba Inu (SHIB) Latest Developments and What is the Best New Cryptocurrency to Invest Today appeared on BitcoinEthereumNews.com. Shiba Inu (SHIB) is still firm as investors and traders look forward to the latest news. Meanwhile, Mutuum Finance (MUTM) is making headlines with its new lending technologies and community-driven growth strategies, hence becoming a force to reckon in DeFi. This new altcoin, which is currently at a mere $0.035 has seen more than $16,150 interested investors buy it. Shiba Inu (SHIB) Sweep-Up Narrows Investor Demand Shiba Inu sits at approximately $0.00001255, with little action during the last trading periods. The token remains to function well in the cryptocurrency market due to a strong community and further ecosystem development. SHIB price action still remains in consolidation phase, with investors watching overall direction and making sure to invest cautiously. In addition, interest is slowly dispersing toward new platforms, like Mutuum Finance (MUTM), which indicates an interest shift within the cryptocurrency market. Mutuum Finance Stage 6 FOMO Investors are now purchasing MUTM tokens at $0.035 in Stage 6 of presale. Waiting for Stage 7 costs an additional 14.3% per token. To date, the coin has been accumulated by over 16,150 supporters and raised over $15.5 million in funds, demonstrating a high level of market interest and demand. Official Bug Bounty Program Mutuum Finance, in partnership with CertiK, has launched an official $50,000 USDT Bug Bounty Program. The developers reward individuals who discover bugs in the project’s codebase on a four-level scale of seriousness: critical, major, minor, and low. The program guarantees any potential bugs are fixed to enhance platform security and protect investors and users. Price Discovery Precise price data is necessary for borrowing, lending, and liquidation to be secure. Mutuum Finance makes use of Chainlink oracles to provide market prices in USD and local tokens such as ETH, MATIC, and AVAX to the system. Fallback oracles, combined feed data, and time-weighted…

Author: BitcoinEthereumNews

2025/09/11

Chainlink Brings Sub-Second Market Data to Sei, Opening Doors for Institutional DeFi

Chainlink Brings Sub-Second Market Data to Sei, Opening Doors for Institutional DeFi

Chainlink Data Streams are live on the Sei Network as the preferred oracle, delivering sub-second market feeds and U.S. BEA macro data.

Author: Blockchainreporter

2025/09/11

OpenAI and Oracle sign $300 billion computing power agreement

OpenAI and Oracle sign $300 billion computing power agreement

PANews reported on September 11th that the Wall Street Journal, citing people familiar with the matter, reported that OpenAI has signed an agreement to purchase $300 billion worth of computing power from Oracle (ORCL.N) over approximately five years, a massive commitment far exceeding its current revenue levels. The deal is one of the largest cloud service contracts ever, reflecting that spending on AI data centers continues to climb to new highs despite growing market concerns about a potential bubble in the artificial intelligence field. The contract will require 4.5 gigawatts of power capacity, roughly equivalent to the power generated by more than two Hoover Dams, or the electricity consumption of approximately four million households. After Oracle disclosed on Wednesday that it had added $317 billion in future contract revenue for its latest fiscal quarter ending August 31st, the company's stock price soared 42% that day, but the increase has now narrowed to 36%. CEO Safra Catz said the company signed contracts with three different customers during the quarter.

Author: PANews

2025/09/11

Musk regains title of richest man, but only by $1 billion

Musk regains title of richest man, but only by $1 billion

PANews reported on September 11th that Oracle's stock price surged approximately 36% in a single day, boosting its market capitalization to approximately $922 billion, driven by surging demand for AI-related data centers. Oracle co-founder Larry Ellison's net worth briefly increased by $89 billion, briefly surpassing Elon Musk as the world's richest man. At market close, Musk's net worth was $384.2 billion, $1 billion ahead of Ellison. Analysts estimate Oracle's AI service backlog to be $455 billion.

Author: PANews

2025/09/11

Chainlink Data Streams Go Live on Sei, Powering $1.2 Billion DeFi Ecosystem

Chainlink Data Streams Go Live on Sei, Powering $1.2 Billion DeFi Ecosystem

Chainlink Data Streams is now officially live on the Sei Network, marking a major step for the $1.2 billion ecosystem. The Sei Development Foundation confirmed that Chainlink’s technology has been integrated as the preferred oracle infrastructure, ensuring reliable and verifiable data delivery.  The solution offers ultra-low-latency data feeds that support high-performance markets across decentralized finance […]

Author: Tronweekly

2025/09/11

Oracle and OpenAI ink $300 billion supercomputing deal

Oracle and OpenAI ink $300 billion supercomputing deal

The post Oracle and OpenAI ink $300 billion supercomputing deal appeared on BitcoinEthereumNews.com. Oracle has signed a five-year agreement to provide OpenAI with $300 billion worth of computing infrastructure starting in 2027, according to reporting by The Wall Street Journal. The deal is one of the biggest cloud contracts ever recorded, and it completely overshadows OpenAI’s current yearly revenue of $10 billion. This agreement will require 4.5 gigawatts of energy to power the planned infrastructure, an amount that could serve nearly four million homes or exceed the output of two Hoover Dams. This development comes as OpenAI tries to break through the ceiling caused by a shortage of compute capacity, which has slowed down its product releases and model development. With this new arrangement, OpenAI intends to build out massive new data centers, and it’s placing Oracle at the center of that expansion. The AI firm already attempted to fix the shortage through a joint venture with SoftBank, launching the Stargate data center initiative. But that plan has seen minimal progress. The company now says Stargate includes all its data-center projects, and the Oracle contract is part of that branding. Oracle’s stock jumps, Ellison’s net worth spikes $100B Oracle revealed in its earnings for the quarter ending August 31 that it had locked in $317 billion in future contract revenue, which includes the OpenAI deal. Shares of the company shot up 42% on Wednesday after the announcement, Cryptopolitan reported. Safra Catz, the company’s Chief Executive Officer, told analysts the new revenue came from three different contracts signed during the quarter. She didn’t identify the companies involved at the time. That stock movement pushed Oracle co-founder and Chairman Larry Ellison into a new wealth bracket. His net worth jumped by over $100 billion, putting him close to Elon Musk on the global rich list. Ellison now sits on a personal fortune estimated at $400…

Author: BitcoinEthereumNews

2025/09/11

OpenAI signs $300B, five-year cloud computing deal with Oracle to provide 4.5 GW capacity amid AI data center boom

OpenAI signs $300B, five-year cloud computing deal with Oracle to provide 4.5 GW capacity amid AI data center boom

The post OpenAI signs $300B, five-year cloud computing deal with Oracle to provide 4.5 GW capacity amid AI data center boom appeared on BitcoinEthereumNews.com. Key Takeaways OpenAI has entered a $300 billion, five-year cloud computing agreement with Oracle. The deal provides 4.5 gigawatts of computing capacity to support AI operations and data centers. OpenAI struck a $300 billion cloud computing deal with Oracle, marking one of the largest contracts in history. The five-year agreement will provide 4.5 gigawatts of capacity as artificial intelligence data center spending surges, according to the Wall Street Journal. The partnership comes as AI companies face mounting demand for computing power to train and run large language models. Oracle’s cloud infrastructure will support OpenAI’s expanding operations amid the ongoing AI data center boom. The deal represents a major win for Oracle in the competitive cloud computing market, where it competes against Amazon Web Services, Microsoft Azure, and Google Cloud. The contract value of $300 billion over five years would make it one of the largest cloud computing agreements ever signed. Source: https://cryptobriefing.com/openai-oracle-300b-cloud-deal/

Author: BitcoinEthereumNews

2025/09/11

OpenAI signed a $300 billion, five-year cloud deal with Oracle starting in 2027

OpenAI signed a $300 billion, five-year cloud deal with Oracle starting in 2027

Oracle has signed a five-year agreement to provide OpenAI with $300 billion worth of computing infrastructure starting in 2027, according to reporting by The Wall Street Journal. The deal is one of the biggest cloud contracts ever recorded, and it completely overshadows OpenAI’s current yearly revenue of $10 billion. This agreement will require 4.5 gigawatts […]

Author: Cryptopolitan

2025/09/11

OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power

OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power

BitcoinWorld OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power In the rapidly evolving landscape where artificial intelligence intersects with every facet of technology, including the decentralized world of cryptocurrencies, a recent development has sent ripples across the industry. Imagine a future where AI models, ever more complex and demanding, require unprecedented levels of computational power. This future is now being shaped by groundbreaking partnerships, and one such alliance has just made headlines: OpenAI, the pioneer in generative AI, has reportedly inked a monumental cloud computing deal with Oracle, signaling a new era for AI infrastructure. OpenAI’s Strategic Shift: Diversifying Cloud Infrastructure The news broke after Oracle sent its shares soaring, reporting multiple multi-billion-dollar contracts. Now, the veil has been lifted on one of those key partners: OpenAI. According to reports from the Wall Street Journal, OpenAI has committed to purchasing an astounding $300 billion worth of compute power from Oracle over approximately five years, with the procurement set to commence in 2027. If confirmed, this would not only be a landmark agreement but also one of the largest cloud contracts ever signed in the technology sector, underscoring the immense and growing appetite for AI compute resources. This massive investment highlights OpenAI’s strategic imperative to diversify its cloud infrastructure. For years, Microsoft Azure served as OpenAI’s primary, and often exclusive, cloud provider. However, the demands of training and running increasingly sophisticated AI models, such as GPT-4 and future iterations, necessitate a multi-cloud approach. Relying on a single vendor, even a close partner like Microsoft, carries inherent risks related to capacity constraints, potential vendor lock-in, and the need for geographical redundancy and cost optimization. OpenAI began tapping Oracle for compute as early as the summer of 2024, indicating a calculated move towards broadening its computational base long before this reported mega-deal. The move away from an exclusive reliance on Microsoft was also reportedly timed with OpenAI’s involvement in the ambitious Stargate Project. This initiative, which sees OpenAI, SoftBank, and Oracle collectively committing $500 billion towards domestic data center projects over the next four years, further solidifies OpenAI’s intent to build a resilient, high-capacity, and geographically distributed AI infrastructure. This strategic diversification is not merely about increasing capacity; it is about building a robust foundation capable of sustaining the next generation of AI innovation. Oracle Cloud’s Ascendance: A Game-Changer for Enterprise AI For Oracle, securing a deal of this magnitude with a leading AI innovator like OpenAI is a monumental win. It catapults Oracle Cloud into the top tier of cloud providers for AI workloads, directly challenging established giants like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Oracle’s shares soared following the initial reports of significant new contracts, reflecting investor confidence in the company’s aggressive pivot towards high-performance computing and enterprise AI solutions. Oracle is no stranger to handling massive enterprise workloads, but its recent investments in specialized infrastructure for AI, including high-bandwidth networks and powerful GPU clusters, have positioned it as an increasingly attractive option for AI companies. Its bare-metal cloud offerings, which provide customers with direct access to hardware without a virtualization layer, are particularly appealing for demanding AI training tasks that require maximum performance and minimal latency. The existing relationship with OpenAI, having provided compute since mid-2024, likely played a crucial role in building trust and demonstrating Oracle’s capabilities. This partnership not only validates Oracle’s cloud strategy but also provides a significant revenue stream and market visibility. It signals to the broader enterprise market that Oracle Cloud is a serious contender for the most demanding AI projects, potentially attracting other AI startups and large corporations looking for robust and scalable solutions beyond the traditional hyperscalers. The deal represents a powerful endorsement of Oracle’s technological prowess and its commitment to becoming a dominant player in the AI infrastructure landscape. Fueling the Future: The Insatiable Demand for AI Compute The sheer scale of the reported $300 billion commitment underscores one undeniable truth: the demand for AI Compute is insatiable and growing exponentially. Modern AI models, especially large language models (LLMs) and multimodal AI, require colossal amounts of computational power for both training and inference. Training a single state-of-the-art LLM can consume millions of dollars worth of GPU-hours, and as models become larger, more complex, and trained on ever-expanding datasets, these requirements only escalate. Consider the factors driving this explosive demand: Model Size and Complexity: AI models are growing in parameters, leading to more sophisticated capabilities but also significantly higher computational needs. Data Volume: Training on vast, diverse datasets requires extensive processing power to ingest, clean, and learn from information. Inference at Scale: Once trained, deploying these models for real-world applications (inference) still demands substantial compute, especially for services accessed by millions of users. New AI Paradigms: Advancements in areas like generative AI, autonomous systems, and scientific discovery are constantly pushing the boundaries of what’s computationally feasible. OpenAI’s reported cloud deal with Google this spring, despite the two companies being fierce competitors in the AI race, further illustrates this urgent need. For AI developers, access to diverse hardware architectures, geographic distribution, and redundancy across multiple cloud providers is paramount. It’s a strategic move to ensure uninterrupted access to the specialized hardware (primarily GPUs) that is often in short supply, mitigating risks associated with a single provider’s capacity limitations or outages. OpenAI’s aggressive pursuit of compute resources from various providers highlights a critical bottleneck in the advancement of AI: the availability of raw processing power. The Stargate Project and Beyond: A Half-Trillion Dollar Cloud Computing Deal The reported $300 billion Cloud Computing Deal with Oracle takes on even greater significance when viewed in the context of the Stargate Project. This ambitious initiative, involving OpenAI, SoftBank, and Oracle, aims to invest a staggering $500 billion into domestic data center projects over the next four years. This half-trillion-dollar commitment is not just about purchasing existing cloud capacity; it’s about building the foundational infrastructure for the next era of AI from the ground up. The Stargate Project is envisioned as a network of supercomputing data centers, designed specifically to meet the extreme demands of future AI models. The emphasis on ‘domestic’ data centers points to several strategic considerations: Geopolitical Independence: Ensuring critical AI infrastructure is located within national borders can reduce reliance on foreign entities and enhance data sovereignty. Economic Impact: Such massive investments create jobs, stimulate local economies, and foster innovation in related industries like energy and construction. Security and Resilience: Distributing critical infrastructure domestically can enhance national security and resilience against cyber threats or natural disasters. Energy Considerations: Building new, purpose-built data centers allows for the integration of advanced cooling technologies and potentially renewable energy sources from inception, addressing the significant energy consumption of AI. The scale of this investment dwarfs many other major tech infrastructure projects. It signals a collective belief among these tech giants that the future of AI hinges on an unprecedented expansion of computational resources. This isn’t just a transactional deal; it’s a strategic alliance aimed at shaping the global AI landscape for decades to come, ensuring that OpenAI has the computational muscle required to maintain its leadership in artificial intelligence. What Does This Mean for Data Center Projects and the AI Ecosystem? The ripple effects of such a monumental investment in Data Center Projects will be felt across the entire technology ecosystem. The implications extend far beyond just OpenAI and Oracle, impacting everything from energy grids to supply chains for specialized hardware. Benefits for the AI Ecosystem: Accelerated Innovation: More compute power means faster training cycles, enabling quicker experimentation and deployment of new AI models and applications. Increased Competition: Oracle’s stronger position as an AI cloud provider could foster healthier competition, potentially leading to better pricing and more innovative services from all cloud vendors. Enhanced Resilience: Multi-cloud strategies and geographically distributed data centers reduce single points of failure, making AI services more robust and reliable. New Business Opportunities: The demand for AI-specific infrastructure will drive growth in related sectors, including advanced cooling solutions, energy management, and specialized hardware manufacturing. Challenges and Considerations: Energy Consumption: AI data centers are incredibly energy-intensive. The sheer scale of these projects will place immense pressure on existing energy grids and necessitate significant investment in sustainable energy solutions. Supply Chain Strain: The demand for high-end GPUs, networking equipment, and other specialized components could further strain already tight global supply chains. Environmental Impact: Beyond energy, the construction and operation of massive data centers raise questions about water usage for cooling and the overall carbon footprint. Talent Acquisition: A significant increase in data center infrastructure will require a corresponding surge in skilled engineers, technicians, and AI specialists. Actionable Insights: For Businesses: Companies relying on AI should consider diversifying their cloud strategies to ensure access to sufficient compute and mitigate risks. Explore multi-cloud options and evaluate providers based on their AI-specific offerings. For Investors: Keep a close eye on companies involved in AI infrastructure, including cloud providers, GPU manufacturers, energy solutions, and data center construction. The long-term growth trajectory for AI is directly tied to the expansion of its foundational compute. For Policymakers: Governments will need to address the implications of these large-scale data center projects, particularly concerning energy policy, environmental regulations, and the development of a skilled workforce. The reported partnership between OpenAI and Oracle, coupled with the ambitious Stargate Project, marks a pivotal moment in the history of artificial intelligence. It underscores the monumental investment required to push the boundaries of AI capabilities and build the robust infrastructure necessary for a future powered by advanced intelligence. This is not merely a transaction; it is a strategic maneuver that will reshape the competitive landscape of cloud computing, accelerate AI innovation, and lay the groundwork for a new era of technological advancement. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power first appeared on BitcoinWorld and is written by Editorial Team

Author: Coinstats

2025/09/11

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