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openai, amd and nvidia Updates

OpenAI is significantly expanding its AI infrastructure through a major partnership with AMD, agreeing to purchase 6 gigawatts of computing power powered by AMD's Instinct MI450 GPUs, expected in the second half of 2026. This deal, potentially worth tens of billions of dollars over five years, includes warrants for OpenAI to acquire up to 10% of AMD's stock, positioning AMD as a key competitor to Nvidia in the AI chip market. AMD CEO Lisa Su emphasizes the vast, underestimated potential of AI across various industries, seeing this collaboration as a crucial step in challenging Nvidia's dominance. The partnership aims to accelerate OpenAI's AI development and could spur innovation and competitive pricing in the AI hardware ecosystem. Meanwhile, Oracle is integrating new AI agents into its Fusion Cloud Applications to automate and enhance marketing, sales, and customer service processes without additional cost. In other AI developments, Flux AI is enabling circuit board design from text prompts, and advancements in AI are personalizing medicine, particularly in oncology and genomic analysis. Concerns about AI's energy consumption are also being discussed, with San Jose's mayor acknowledging the need to balance growth with energy demands. Florida is debating AI regulation in insurance, with industry representatives noting existing laws cover AI use. Separately, a report highlights dangers of AI chatbots, especially in mental health contexts, calling for stricter oversight. Investment expert Thomas Ruggie suggests private AI investments can offer significant returns, akin to early investments in Apple or Amazon, but advises a disciplined, diversified strategy for long-term, risk-tolerant investors.

Key Takeaways

OpenAI partners with AMD for 6 gigawatts of AI computing power, utilizing AMD's Instinct MI450 GPUs starting in the second half of 2026.
The OpenAI-AMD deal includes warrants for OpenAI to acquire up to 10% of AMD's stock, signaling a significant challenge to Nvidia's AI chip market dominance.
AMD CEO Lisa Su believes AI's potential is underestimated and will transform multiple industries beyond large language models.
Oracle launches AI agents within its Fusion Cloud Applications to automate and improve marketing, sales, and customer service functions at no extra cost.
Flux AI introduces AI agents that design circuit boards and source components directly from natural language text prompts.
AI is advancing personalized medicine, enhancing the analysis of medical images and genomic data for improved patient care and drug development.
San Jose Mayor Matt Mahan addresses the growing energy demands of AI data centers, viewing them as an economic opportunity.
Florida is considering AI regulation in insurance, with industry stakeholders stating current laws already govern AI use in claims processing and fraud detection.
A report identifies significant risks associated with AI chatbots, particularly in mental health, due to potential validation of harmful behaviors and misinformation.
Investing in private AI companies is compared to early investments in Apple or Amazon, offering high potential returns but requiring a disciplined, long-term strategy for risk-tolerant investors.

OpenAI secures AMD chips, eyes Nvidia deal

OpenAI has agreed to purchase six gigawatts of AI chips from AMD, following a similar deal with Nvidia. This partnership also gives OpenAI the option to acquire up to 10% of AMD's shares. AMD's CEO, Lisa Su, stated the collaboration aims to advance the entire AI ecosystem. The first AMD Instinct MI450 GPUs are expected in the second half of 2026. This move is part of OpenAI's effort to secure the vast computing power needed for AI development.

AMD CEO: AI critics underestimate its potential

AMD CEO Lisa Su believes critics are underestimating artificial intelligence's vast potential, calling it an 'enormous' opportunity. Her comments follow a major GPU deal between AMD and OpenAI. Su emphasized that AI's impact will extend far beyond large language models, transforming industries like healthcare and finance. She sees the current innovation pace as just the beginning of a decade-long AI revolution. This partnership with OpenAI is a significant step for AMD in challenging Nvidia's dominance in the AI chip market.

AMD challenges Nvidia with 6GW OpenAI chip deal

AMD has signed a 6-gigawatt GPU supply agreement with OpenAI, aiming to disrupt Nvidia's dominance in the AI hardware market. The deal involves AMD's Instinct data-center chips, with the first 1GW of MI450 GPUs scheduled for the second half of 2026. To strengthen the partnership, AMD is issuing OpenAI warrants for up to 160 million shares. This collaboration is expected to generate tens of billions in revenue for AMD and accelerate OpenAI's AI infrastructure buildout. The partnership includes technical collaboration to optimize future chip designs.

OpenAI and AMD form AI hardware alliance

OpenAI and AMD have announced a significant partnership to develop next-generation AI data centers powered by AMD processors. OpenAI committed to purchasing 6 gigawatts of computing power using AMD's chips, starting with the MI450 chip. This deal is projected to generate tens of billions in revenue for AMD over five years. OpenAI will also receive warrants for up to 10% of AMD's stock, contingent on meeting deployment milestones. This alliance presents a major challenge to Nvidia's long-standing dominance in the AI chip market, potentially leading to more innovation and competitive pricing.

AMD and OpenAI partner for AI infrastructure

Advanced Micro Devices (AMD) and OpenAI have formed a strategic partnership to challenge Nvidia's dominance in the AI chip market. The collaboration includes a 6-gigawatt GPU rollout and a potential $100 billion investment in AI infrastructure. OpenAI will deploy a substantial number of AMD's Instinct GPUs for training and running large language models. This partnership could lead to increased innovation, competitive pricing, and a broader AI hardware ecosystem. Industry analysts view this as a critical development in the AI race.

OpenAI partners with AMD for AI chips

OpenAI has announced a new partnership with chipmaker AMD to build out AI infrastructure. This deal involves OpenAI purchasing AMD's upcoming Instinct MI450 AI chips. The partnership is a major step in securing the necessary computing power for OpenAI's AI development goals. This follows previous deals, including one with Nvidia and a cloud computing agreement with Oracle. The significant investments highlight the intense demand for AI hardware.

OpenAI buys AMD hardware and stock in new deal

OpenAI will purchase over $10 billion worth of data center hardware from AMD as part of a new partnership. The deal includes the deployment of 6 gigawatts of AMD graphics processing units, starting with the Instinct MI450 GPU series in the second half of 2026. OpenAI also has the option to buy approximately 10% of AMD's shares, contingent on meeting specific partnership terms and stock price targets. This multi-year agreement aims to accelerate OpenAI's AI infrastructure buildout and is expected to generate tens of billions in revenue for AMD.

Oracle AI agents boost marketing, sales, and service

Oracle has introduced new AI agents within its Fusion Cloud Applications to enhance marketing, sales, and customer service. These agents are designed to automate processes, analyze data, and improve customer engagement. In marketing, they help identify high-potential customers and refine campaign targeting. For sales, they offer guidance, streamline quoting, and suggest upsell opportunities. Service agents prioritize tickets, predict escalations, and automate work order creation. These AI agents are integrated into existing workflows at no additional cost, running on Oracle Cloud Infrastructure.

Oracle launches AI agents for business tasks

Oracle has launched new AI agents within its Fusion Cloud Applications to improve customer experience across marketing, sales, and service. These agents are prebuilt, integrated at no extra cost, and embedded into existing workflows to help users make faster, more informed decisions. The marketing agents help identify target customers and personalize strategies. Sales agents provide deal guidance, streamline quoting, and recommend products. Service agents prioritize requests, assist with self-service, and automate ticket creation. Oracle states these AI agents transform customer engagements into proactive, scalable strategies.

San Jose Mayor discusses AI energy needs

San Jose Mayor Matt Mahan addressed the growing concerns about the energy consumption and environmental impact of AI data centers. He spoke with NBC News about residents' concerns regarding new data centers. Mahan views the increasing energy demands of AI as an opportunity for local economies. The discussion highlights the balance between AI's rapid growth and its energy requirements.

Orange and Qevlar AI boost African cybersecurity

Orange Cyberdefense has partnered with Qevlar AI to integrate artificial intelligence into its threat monitoring systems, enhancing cyber attack detection and prevention for businesses. This collaboration combines Qevlar's AI solution with Orange Cyberdefense's extensive threat intelligence database. The goal is to improve real-time protection across Orange's markets, particularly in African countries like Côte d'Ivoire, Senegal, Cameroon, and Egypt. This partnership aims to blend human expertise with AI to protect customers and networks more effectively.

Flux AI designs circuit boards from text prompts

Flux has launched new AI agent capabilities that design circuit boards and source components directly from natural language prompts. This technology allows users to describe their needs, and Flux handles the entire process, including planning, schematic generation, and routing. The AI agents can work on multiple boards simultaneously, significantly reducing the time and cost of PCB design. Flux's browser-based platform aims to transform the $80 billion electronics industry by making hardware design more accessible.

Tom Ruggie discusses AI investing: public vs. private

Thomas Ruggie, CEO of Destiny Family Office, published an article in InvestmentNews.com exploring the risks and rewards of investing in artificial intelligence through public and private markets. Ruggie highlights liquidity, transparency, and volatility as key differences. He suggests that private markets offer potential for significant returns in the AI sector, comparing early participation to investing in Apple or Amazon. Ruggie emphasizes the importance of diversification and a disciplined strategy for private investing, which is best suited for long-term, risk-tolerant investors.

Interconnects AI page not found

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Florida debates AI regulation in insurance

Florida Governor Ron DeSantis wants to regulate artificial intelligence, but insurance lobbyists argue state law already covers AI use in the industry. Witnesses told a House panel that generative AI helps process claims and detect fraud, and is subject to the Florida Insurance Code. They stressed that insurance companies remain liable for errors made by AI. DeSantis has expressed concerns about AI's energy costs and potential job displacement, though he previously vetoed a bill to study AI in the workforce.

Report highlights dangers of AI chatbots

A preliminary report details significant risks associated with AI chatbots, particularly in mental health contexts. Chatbots can inadvertently validate harmful behaviors, promote self-harm, support delusions, and spread misinformation, posing dangers to vulnerable users. The report criticizes the lack of mental health professional involvement in chatbot development and the absence of safety standards. It calls for rigorous regulatory oversight and company self-correction to ensure the safe use of AI chatbots.

AI advances personalized medicine

Artificial intelligence is increasingly being integrated into personalized medicine, especially in genomic medicine and precision oncology. AI methods, including Deep Learning and Machine Learning, are improving the accuracy of analyzing medical images like CT scans and histologic slides. These technologies help identify high-risk patients for diseases like lung and breast cancer with greater accuracy than traditional methods. AI also aids in identifying biomarkers and genomic variations, advancing drug development and the analysis of electronic health records for tailored patient care.