NVIDIA Partners with Nebius, Investing $2 Billion
Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily recap compiled by The Fly.NVIDIA, NEBIUS PARTNERSHIP:Nvidiaand Nebius Group N.V.announced a strategic partnership to develop and deploy the next generation of hyperscale cloud for the AI market, from AI natives to enterprises. NVIDIA will invest $2 billion in Nebius, reflecting Nvidia's confidence in Nebius's business and unique depth of engineering expertise across the full AI technology stack. This partnership builds upon Nebius's ongoing deployment of Nvidia infrastructure across its global platform, including multiple gigawatt-scale AI factories in the U.S. To enable Nebius to deploy more than 5 gigawatts of capacity by the end of 2030, Nvidia will support Nebius's early adoption of the latest generation of Nvidia's accelerated computing platform.NEW MTIA CHIPS:Metasaid it is developing and deploying four new generations of MTIA chips within the next two years to support ranking and recommendations, along with GenAI workloads. The company also noted that it has "developed a competitive strategy for MTIA by prioritizing rapid, iterative development, an inference-first focus, and frictionless adoption by building natively on industry standards. Our new generations of chips expand on our custom silicon portfolio, which is at the center of our AI infrastructure strategy." "We're continuing to advance the MTIA roadmap by developing four new generations of chips, each bringing significant improvements in compute, memory bandwidth, and efficiency. MTIA 300 will be used for ranking and recommendations training, and is already in production. MTIA 400, 450 and 500 will be capable of handling all workloads, but we will primarily use these chips to support GenAI inference production in the near future and into 2027," it explained.HEALTH AI:In a Tuesday blog, Prakash Bulusu, Chief Technology Officer, Amazon Health Servicesand Andrew Diamond, Chief Medical Officer, Amazon One Medical, wrote, "Health AI is an agentic AI health assistant designed to make health care easier by providing you with insights into your health, helping you understand your medical records, and seamlessly connecting you with licensed health care professionals when you need them. While Health AI can provide general answers to health-related questions without an individual's medical information, it's designed to be a personalized health agent that knows you and your medical history so it can provide more helpful responses and take meaningful action, including connecting you to the professionals, treatments, and account services you need to get and stay well. Once you give permission to Health AI to access your health information, it can explain your lab results, diagnoses, and medical records, and it can provide more accurate, personalized answers to questions about your symptoms and medication. When you need professional care, Health AI connects you directly to One Medical providers through message, video, or in person. It can also help manage prescription renewals with Amazon Pharmacy or your pharmacy of choice, sending requests to your One Medical provider, and will provide relevant health care product recommendations from Amazon.com when you ask for them. Health AI launched earlier this year exclusively for One Medical members in the One Medical app, and the response has been overwhelmingly positive-from patients and providers. We want to bring Health AI to even more people, so we're expanding access to Amazon.com and the Amazon app. We're rolling this out to customers starting today and will continue expanding availability in the coming weeks, with a goal of making it available to all U.S. customers soon. Customers can sign up now at the Amazon Health page."AI ROBOT DEPLOYMENT:Mind Robotics announced a $500M Series A round, co-led by Accel and Andreessen Horowitz, to build and deploy AI-enabled robotic systems at industrial scale. Accel partner, Sameer Gandhi, will be joining the Board of Mind Robotics. This $500M financing, which is expected to close later this month, follows a seed financing of $115M led by Eclipse Capital in late 2025. Mind Robotics, founded and led by RivianCEO RJ Scaringe, operates with Rivian as a partner and major shareholder, providing a very large data flywheel for training the models and an at-scale launch environment.AI AGENT PROJECT:Macrohard, XAI's ambitious AI agent project, has stalled following leadership shake-ups and suspension of a data project involving 600 contractors, people familiar with the situation told Business Insider, Grace Kay. At the same time, Musk's other company, Tesla, has been ramping up its own AI agent project called "Digital Optimus," according to workers.NEMOTRON 3 SUPER:In a blog post, Kari Briski, vice president of generative AI software for enterprise at Nvidia,, "Launched today, NVIDIA Nemotron 3 Super is a 120-billion-parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale. Available now, the model combines advanced reasoning capabilities to efficiently complete tasks with high accuracy for autonomous agents. AI-Native Companies: Perplexity offers its users access to Nemotron 3 Super for search and as one of 20 orchestrated models in Computer. Companies offering software development agents like CodeRabbit, Factory and Greptile are integrating the model into their AI agents along with proprietary models to achieve higher accuracy at lower cost. And life sciences and frontier AI organizations like Edison Scientific and Lila Sciences will power their agents for deep literature search, data science and molecular understanding. Enterprise Software Platforms: Industry leaders such as Amdocs, Palantir, Cadence, Dassault Systemes and Siemens are deploying and customizing the model to automate workflows in telecom, cybersecurity, semiconductor design and manufacturing."AI COMPUTE TREASURE STRATEGY:VCI Globalannounced the launch of its AI Compute Treasury strategy. The strategy positions VCI Global within the expanding AI infrastructure economy. VCI Global's platform will be built on advanced GPU systems from Nvidia, including systems powered by next-generation Nvidia Blackwell RTX architecture, optimized for high-efficiency AI inference workloads.ROBOTICS FULFILLMENT CENTER:Amazon Australia has unveiled plans to invest more than AU$750M building a new robotics fulfillment center capable of processing over 125M packages per year. Targeted for completion in 2028, the site in Brisbane, Queensland will cover 150,000 square meters across four levels-with a floor size equivalent to 120 Olympic swimming pools.
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- Market Reopening: Nvidia has reopened its operations in China, one of the world's most crucial AI markets, presenting potential for revenue growth despite existing policy risks that complicate the narrative.
- Policy Risks: While the opportunities in the Chinese market are significant, uncertainties surrounding government regulations and market access could impact Nvidia's long-term strategic positioning in the region.
- Investment Opportunities: Analysts suggest that despite the high costs associated with re-entering the market, Nvidia could leverage technological innovation and adaptability to capture growth opportunities in China, enhancing its global competitiveness.
- Future Outlook: As demand for AI technology continues to rise in China, Nvidia's market strategy will need to be agile to navigate the complex policy landscape and maximize returns on its investments in the region.
- Investor Confidence: According to recent research by The Motley Fool, 59% of investors surveyed on March 3, 2026, hold AI stocks, indicating strong investor confidence in AI despite the tech sector's slump.
- Youth Engagement: The survey reveals that Gen Z and millennials have the highest AI stock ownership rates at 67% and 66%, respectively, highlighting the younger generation's keen interest and willingness to invest in future technologies.
- Major Investment Plans: Leading tech giants like Alphabet, Amazon, Meta, and Microsoft are projected to spend between $600 billion and $700 billion on AI data centers by 2026, reflecting their commitment to the AI sector and confidence in future growth.
- Nvidia's Success Story: Nvidia's stock has surged 1,190% over the past five years, exemplifying a successful investment in AI infrastructure, which encourages investors to consider opportunities in this rapidly evolving field.
- Impressive Earnings: Micron Technology's latest earnings report revealed quarterly revenue nearing $24 billion, nearly tripling year-over-year and exceeding market expectations by nearly $4 billion; however, the stock fell about 2.8%, indicating market caution regarding future growth.
- Doubling Gross Margin: The company's gross margin doubled year-over-year to approximately 74%, an extraordinary feat for a mature company, reflecting significant pricing power amid surging demand for AI infrastructure.
- Strong Guidance: Micron's revenue guidance for the current quarter is set at $33.5 billion, well above analysts' expectations of $24.3 billion, suggesting a nearly 50% gross margin and indicating continued benefits from the AI investment surge.
- Strategic Customer Agreements: Micron is entering into long-term strategic agreements with customers, marking its first five-year contracts, which will provide greater business predictability and could alter the cyclical nature of the memory chip industry.
- Impressive Earnings: Micron Technologies reported nearly $24 billion in revenue for the latest quarter, nearly tripling year-over-year and exceeding market expectations by approximately $4 billion, with gross margins doubling to 74%, reflecting strong market demand and pricing power.
- Strong Future Guidance: The company guided for $33.5 billion in revenue for the upcoming quarter, significantly above analysts' expectations of $24.3 billion, indicating robust confidence in AI infrastructure investments that could drive sustained future growth.
- Strategic Customer Agreements: Micron is entering long-term strategic agreements with customers, including its first five-year contract, enhancing visibility into future business and potentially altering the cyclical nature of the memory market, thereby boosting the company's competitive edge.
- Cautious Market Reaction: Despite the strong earnings report, Micron's stock fell by 2.8%, partly due to market concerns over potential Fed interest rate hikes and geopolitical tensions in the Middle East, reflecting investor caution regarding future demand.
- Buying AI Stocks: Cathie Wood is strategically investing in AI stocks during market dips, recently selling 4,189 shares of Alphabet, 5,707 shares of Broadcom, and 120,936 shares of Nvidia in her Ark Innovation fund, showcasing her opportunistic approach amid volatility.
- Portfolio Adjustments: While reducing positions in several AI leaders, Wood retains AMD as one of her top ten holdings, indicating her continued confidence in the company's long-term potential, with AMD accounting for 4% of the fund's weight.
- New Investment Opportunities: During the market correction, Wood purchased 41,830 shares of CoreWeave, reflecting her belief in innovative opportunities within the AI sector, particularly in cloud capacity, which aligns with her forward-looking investment strategy.
- Investment Strategy Considerations: Wood's approach emphasizes long-term holding, advising investors to assess their risk tolerance when selecting AI stocks, especially in the current market environment, where seeking companies with stable earnings growth may be a more prudent choice.
- Market Reopening: Nvidia has reopened its operations in China, one of the world's most crucial AI markets, which could lead to significant growth opportunities despite ongoing policy risks that complicate the narrative.
- Investment Caution: While Nvidia maintains a strong position in the AI sector, it was notably excluded from the Motley Fool Stock Advisor's current list of top investment stocks, indicating that investors should carefully weigh potential risks before making decisions.
- Historical Returns Comparison: Historically, Nvidia was recommended in 2005, and an investment of $1,000 at that time would have grown to $1,069,165, showcasing its robust market performance, yet future returns remain contingent on market fluctuations.
- Industry Competition: Nvidia faces competition from other tech companies, particularly those providing critical technologies labeled as










