🚀 Larry Ellison And Elon Musk Request More Nvidia GPUs
#LarryEllison #ElonMusk #Nvidia #GPUs #Oracle #AI #CloudComputing #Tesla #Supercomputers #NeuralNetworks #AutonomousDriving
According to Odaily, during a recent analyst meeting, Oracle co-founder and Chief Technology Officer Larry Ellison revealed that he and Elon Musk had dinner with Nvidia CEO Jensen Huang at Nobu Palo Alto, where they requested more GPUs from Huang. Ellison described the dinner as a plea for more GPUs, stating, 'I can describe that dinner as Elon and I begging Jensen for GPUs. Please take our money, and by the way, I have dinner ready. No, take a little more. We need you to take more of our money.' Ellison noted that the outcome was positive, saying, 'Everything went smoothly. I mean, it worked.' Oracle has heavily invested in GPU technology, particularly for AI applications. The tech giant recently reported its first-quarter results for fiscal year 2025, showing a 7% year-over-year revenue increase to $13.3 billion, with profits reaching $2.9 billion. Oracle also disclosed that it operates or is building 162 cloud data centers worldwide, with the largest being an 800-megawatt facility that will house 'acres of Nvidia GPU clusters' for training large-scale AI models. In the first quarter, Oracle signed 42 cloud GPU contracts totaling $3 billion. Similarly, Tesla relies on Nvidia GPUs to power its supercomputers, which train neural networks for its autonomous and assisted driving technologies.#LarryEllison #ElonMusk #Nvidia #GPUs #Oracle #AI #CloudComputing #Tesla #Supercomputers #NeuralNetworks #AutonomousDriving
🚀 Sakana AI Raises $2.14 Billion In Series A Funding
#SakanaAI #SeriesAFunding #ArtificialIntelligence #Japan #Investment #Supercomputers #AIecosystem #NVIDIA #TechNews
According to BlockBeats, Japanese artificial intelligence company Sakana AI has raised approximately 300 billion yen (around $2.14 billion) in its Series A funding round, bringing the company's valuation to $1.5 billion. Founded in July 2023 by former Google researchers, Sakana AI has quickly gained significant financial backing from major institutions and corporations.
The funding round saw investments from prominent financial groups such as Mitsubishi UFJ Financial Group, Mizuho Financial Group, Sumitomo Mitsui Banking Corporation, and Nomura Holdings. Additionally, well-known companies including NEC, Itochu Corporation, KDDI, and Fujitsu also participated in the investment.
Sakana AI has secured processing time on Japan's supercomputers and is collaborating with various organizations to bolster Japan's AI ecosystem. This initiative aligns with NVIDIA's recent efforts to support Japan's sovereign AI projects.#SakanaAI #SeriesAFunding #ArtificialIntelligence #Japan #Investment #Supercomputers #AIecosystem #NVIDIA #TechNews
🚀 Microsoft Adjusts Cloud Service Agreement With OpenAI
#Microsoft #OpenAI #CloudService #Investment #Azure #ArtificialIntelligence #Supercomputers #TechPartnership #IntellectualProperty
According to Odaily, Microsoft announced on Tuesday that it will no longer be the exclusive cloud service provider for OpenAI. However, Microsoft retains a 'first purchase' option under the new cloud service agreement with OpenAI. This change follows Microsoft's initial $1 billion investment in OpenAI in 2019, which granted them exclusive cloud service rights. Since then, Microsoft has continued to fund the startup, collaborating on building supercomputers for training OpenAI's models. Despite the adjustment, Microsoft maintains exclusive rights to resell OpenAI models on its Azure cloud platform and to reuse OpenAI's intellectual property in its own products. The current agreement between the two companies is set to extend until 2030.#Microsoft #OpenAI #CloudService #Investment #Azure #ArtificialIntelligence #Supercomputers #TechPartnership #IntellectualProperty
🚀 NVIDIA to Manufacture AI Supercomputers in the U.S., Collaborates with TSMC for Chip Production
#NVIDIA #AI #Supercomputers #TSMC #ChipProduction #USA #Blackwell #Texas #Foxconn #Wistron #SupplyChain #Jobs
According to PANews, NVIDIA has announced plans to manufacture AI supercomputers in the United States for the first time. The company will collaborate with Taiwan Semiconductor Manufacturing Company (TSMC) to mass-produce Blackwell chips in Arizona. The supercomputer manufacturing facilities, located in Houston and Dallas, Texas, are being constructed with the assistance of Foxconn and Wistron. These facilities are expected to enter large-scale production within the next 12 to 15 months.
NVIDIA aims to produce AI infrastructure valued at $500 billion in the U.S. over the next four years. This initiative is designed to strengthen the local supply chain and create hundreds of thousands of jobs.#NVIDIA #AI #Supercomputers #TSMC #ChipProduction #USA #Blackwell #Texas #Foxconn #Wistron #SupplyChain #Jobs
🚀 Nvidia's $500 Billion AI Investment in the U.S. Sparks Excitement
#Nvidia #AIInvestment #ArtificialIntelligence #Supercomputers #USInvestment #TechNews #EconomicGrowth
According to BlockBeats, Nvidia has announced a commitment to invest $500 billion over the next four years in the United States for the production of artificial intelligence servers. U.S. President Donald Trump expressed enthusiasm about this development on Truth Social, highlighting Nvidia's plan to build AI supercomputers exclusively in the U.S. He described the announcement as exciting news and assured that all necessary permits would be expedited for Nvidia and other companies aiming to contribute to America's golden era.#Nvidia #AIInvestment #ArtificialIntelligence #Supercomputers #USInvestment #TechNews #EconomicGrowth
🚀 Nvidia Collaborates with Cisco to Advance Quantum Computing in 5G and 6G Technologies
#Nvidia #Cisco #QuantumComputing #5G #6G #NISQ #CUDAQ #Supercomputers #QuantumAccelerators #QPU
According to PANews, Nvidia CEO Jensen Huang announced a partnership with Cisco to develop systems that integrate quantum computing technology within the frameworks of 5G and 6G technologies. Despite being in the Noisy Intermediate-Scale Quantum (NISQ) stage, Huang expressed excitement about the potential applications that can already be utilized.
Nvidia is working on a hybrid quantum-classical GPU computing platform named CUDA-Q. The company is collaborating with several leading firms to envision a future where all supercomputers incorporate quantum accelerators and quantum processing units (QPU), aiming to create a new computing ecosystem.#Nvidia #Cisco #QuantumComputing #5G #6G #NISQ #CUDAQ #Supercomputers #QuantumAccelerators #QPU