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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AI Drives Nvidia's Earnings Growth Amid Market Concerns
- Significant Earnings Growth: Nvidia achieved a remarkable 65% revenue growth in fiscal 2026, primarily driven by artificial intelligence, although concerns about future growth slowing persist in the market.
- Market Share Risks: While Nvidia maintains its leadership in the AI chip market, other semiconductor companies are actively developing their own AI chips, which could impact its market share, although this is unlikely to threaten its leadership position in the short term.
- Valuation Pressure: With a market cap of approximately $4.8 trillion, Nvidia's strong revenue growth is tempered by a P/E ratio of 40, and if the stock were to decline by 25% over the next 12 months, its P/E could drop to 18, potentially entering value stock territory.
- Investor Strategy: Despite the potential for AI growth to slow, investors are advised to hold Nvidia shares, as current performance remains robust and valuations may adjust downward in the future, thereby limiting potential downside risks.
Bittensor vs Render: Analyzing AI Crypto Investments
- Market Performance: Bittensor's market cap has reached $3 billion, while Render stands at $1 billion, with both cryptocurrencies showing over 20% growth in 2024, reflecting strong market demand and investor confidence amid rapid advancements in AI technology.
- Shifting Investment Narrative: As investor focus shifts towards decentralized AI, Bittensor has emerged as a leader with its AI-specialized Layer 1 blockchain network, attracting high-profile projects including interest from Nvidia's CEO, indicating significant future growth potential.
- Scarcity Advantage: Bittensor's total supply is capped at 21 million coins, similar to Bitcoin, which enhances its price potential as demand increases, whereas Render's circulating supply of 520 million coins limits its price appreciation potential, influencing investor decisions.
- Future Growth Potential: Estimates from Bitget suggest that Bittensor could reach $1,000 in the coming years, quadrupling its current value, and the successful launch of new investment products like a spot ETF could attract institutional money, further solidifying its market position.
Confidential Computing Summit 2026 Schedule Announced
- Summit Schedule Announced: The Confidential Computing Summit 2026 is set for June 23-24, 2026, in San Francisco, bringing together industry leaders and technologists to advance confidential computing and secure AI workload deployment, addressing critical needs for data sovereignty and risk mitigation.
- Diverse Industry Participation: The summit will feature insights from experts at top companies like Amazon, Google, and Microsoft, providing attendees with practical information on achieving secure and transparent workloads across cloud and distributed environments, facilitating comprehensive AI deployment in enterprises.
- Strong Market Demand: A recent IDC study found that 75% of organizations are adopting confidential computing, with 88% of respondents citing improved data integrity as their primary implementation driver, highlighting the urgent need for technical assurance and reflecting high market concern over securely processing sensitive data.
- Building Trust Infrastructure: The summit will explore the necessity of establishing verifiable trust infrastructure to support the next generation of AI agents and sensitive model data, emphasizing that trust has become the next bottleneck in AI adoption, necessitating guarantees for data and workflows protection during execution.
Arm Holdings Shares Drop Amid Demand Concerns, Yet Analysts Remain Bullish
- Stock Volatility: Arm Holdings' shares plummeted on Thursday despite better-than-expected fiscal fourth-quarter revenue and earnings, as concerns about its ability to meet surging chip demand reflect investor caution regarding future growth prospects.
- Market Potential: Analysts at Evercore ISI believe Arm's market value could surpass $1 trillion in the future, positioning it alongside giants like Nvidia and Apple, highlighting its significant role in the rapidly growing CPU market.
- Ecosystem Advantage: Evercore emphasizes Arm's diverse and well-established network of suppliers and customers built over 35 years as a real advantage for expanding its market cap, noting that establishing this ecosystem was the most challenging step, facilitating future product ramp-up.
- Supply Chain Challenges: Despite surging demand for AI-related products, Arm faces serious component supply issues, with analysts indicating that advanced-node wafer availability at TSMC limits Arm's ability to fully capture the potential $2 billion chip opportunity in FY27/28, reflecting market concerns about its supply chain.
DoorDash's Revenue Miss Doesn't Detract from Strong Growth Story
- Significant Revenue Growth: DoorDash's Q1 revenue increased by 33% year-over-year to $4.04 billion, largely driven by the acquisition of Deliveroo, showcasing the company's strong performance in market expansion.
- Order Volume Surge: Total orders rose by 27% to 933 million, with marketplace gross order value jumping 37% to $31.6 billion, indicating that the company is not only adding orders but also capturing larger ones, particularly in the fast-growing grocery and retail categories.
- Profit Pressure Intensifies: Despite revenue growth, diluted EPS fell from $0.44 to $0.42, primarily due to integration costs from Deliveroo and ongoing investments in autonomous delivery, highlighting the profit pressures faced during expansion.
- Optimistic Future Outlook: Management maintained its full-year outlook, expecting modest margin gains, although heavy investment will continue, indicating the company's need to prove that these investments can translate into operational leverage.
Vertiv Stock Soars 121.5% Amid Strong AI Data Center Demand
- Significant Stock Surge: Vertiv's stock has surged 121.5% in 2026, with a remarkable 31.1% increase in April alone, reflecting strong investor confidence in its role within the AI data center infrastructure sector.
- Earnings Beat Expectations: The company raised its full-year net sales guidance to $13.5 billion to $14 billion from a previous range of $13.25 billion to $13.75 billion, indicating robust business growth momentum.
- Increased Profit Forecast: The adjusted full-year earnings per share (EPS) expectation has risen from $6.02 to $6.35, showcasing the company's optimistic outlook for the second half of the year, with the CEO highlighting sustained strong demand for data centers.
- Collaboration with Nvidia: Vertiv's partnership with Nvidia is advancing the development of 800 VDC data center power infrastructure, focusing on power and cooling solutions compatible with AI architecture, thereby solidifying its position in the rapidly evolving AI market.
AI Drives Nvidia's Earnings Growth Amid Market Concerns
- Significant Earnings Growth: Nvidia achieved a remarkable 65% revenue growth in fiscal 2026, primarily driven by artificial intelligence, although concerns about future growth slowing persist in the market.
- Market Share Risks: While Nvidia maintains its leadership in the AI chip market, other semiconductor companies are actively developing their own AI chips, which could impact its market share, although this is unlikely to threaten its leadership position in the short term.
- Valuation Pressure: With a market cap of approximately $4.8 trillion, Nvidia's strong revenue growth is tempered by a P/E ratio of 40, and if the stock were to decline by 25% over the next 12 months, its P/E could drop to 18, potentially entering value stock territory.
- Investor Strategy: Despite the potential for AI growth to slow, investors are advised to hold Nvidia shares, as current performance remains robust and valuations may adjust downward in the future, thereby limiting potential downside risks.
Bittensor vs Render: Analyzing AI Crypto Investments
- Market Performance: Bittensor's market cap has reached $3 billion, while Render stands at $1 billion, with both cryptocurrencies showing over 20% growth in 2024, reflecting strong market demand and investor confidence amid rapid advancements in AI technology.
- Shifting Investment Narrative: As investor focus shifts towards decentralized AI, Bittensor has emerged as a leader with its AI-specialized Layer 1 blockchain network, attracting high-profile projects including interest from Nvidia's CEO, indicating significant future growth potential.
- Scarcity Advantage: Bittensor's total supply is capped at 21 million coins, similar to Bitcoin, which enhances its price potential as demand increases, whereas Render's circulating supply of 520 million coins limits its price appreciation potential, influencing investor decisions.
- Future Growth Potential: Estimates from Bitget suggest that Bittensor could reach $1,000 in the coming years, quadrupling its current value, and the successful launch of new investment products like a spot ETF could attract institutional money, further solidifying its market position.
Confidential Computing Summit 2026 Schedule Announced
- Summit Schedule Announced: The Confidential Computing Summit 2026 is set for June 23-24, 2026, in San Francisco, bringing together industry leaders and technologists to advance confidential computing and secure AI workload deployment, addressing critical needs for data sovereignty and risk mitigation.
- Diverse Industry Participation: The summit will feature insights from experts at top companies like Amazon, Google, and Microsoft, providing attendees with practical information on achieving secure and transparent workloads across cloud and distributed environments, facilitating comprehensive AI deployment in enterprises.
- Strong Market Demand: A recent IDC study found that 75% of organizations are adopting confidential computing, with 88% of respondents citing improved data integrity as their primary implementation driver, highlighting the urgent need for technical assurance and reflecting high market concern over securely processing sensitive data.
- Building Trust Infrastructure: The summit will explore the necessity of establishing verifiable trust infrastructure to support the next generation of AI agents and sensitive model data, emphasizing that trust has become the next bottleneck in AI adoption, necessitating guarantees for data and workflows protection during execution.
Arm Holdings Shares Drop Amid Demand Concerns, Yet Analysts Remain Bullish
- Stock Volatility: Arm Holdings' shares plummeted on Thursday despite better-than-expected fiscal fourth-quarter revenue and earnings, as concerns about its ability to meet surging chip demand reflect investor caution regarding future growth prospects.
- Market Potential: Analysts at Evercore ISI believe Arm's market value could surpass $1 trillion in the future, positioning it alongside giants like Nvidia and Apple, highlighting its significant role in the rapidly growing CPU market.
- Ecosystem Advantage: Evercore emphasizes Arm's diverse and well-established network of suppliers and customers built over 35 years as a real advantage for expanding its market cap, noting that establishing this ecosystem was the most challenging step, facilitating future product ramp-up.
- Supply Chain Challenges: Despite surging demand for AI-related products, Arm faces serious component supply issues, with analysts indicating that advanced-node wafer availability at TSMC limits Arm's ability to fully capture the potential $2 billion chip opportunity in FY27/28, reflecting market concerns about its supply chain.
DoorDash's Revenue Miss Doesn't Detract from Strong Growth Story
- Significant Revenue Growth: DoorDash's Q1 revenue increased by 33% year-over-year to $4.04 billion, largely driven by the acquisition of Deliveroo, showcasing the company's strong performance in market expansion.
- Order Volume Surge: Total orders rose by 27% to 933 million, with marketplace gross order value jumping 37% to $31.6 billion, indicating that the company is not only adding orders but also capturing larger ones, particularly in the fast-growing grocery and retail categories.
- Profit Pressure Intensifies: Despite revenue growth, diluted EPS fell from $0.44 to $0.42, primarily due to integration costs from Deliveroo and ongoing investments in autonomous delivery, highlighting the profit pressures faced during expansion.
- Optimistic Future Outlook: Management maintained its full-year outlook, expecting modest margin gains, although heavy investment will continue, indicating the company's need to prove that these investments can translate into operational leverage.
Vertiv Stock Soars 121.5% Amid Strong AI Data Center Demand
- Significant Stock Surge: Vertiv's stock has surged 121.5% in 2026, with a remarkable 31.1% increase in April alone, reflecting strong investor confidence in its role within the AI data center infrastructure sector.
- Earnings Beat Expectations: The company raised its full-year net sales guidance to $13.5 billion to $14 billion from a previous range of $13.25 billion to $13.75 billion, indicating robust business growth momentum.
- Increased Profit Forecast: The adjusted full-year earnings per share (EPS) expectation has risen from $6.02 to $6.35, showcasing the company's optimistic outlook for the second half of the year, with the CEO highlighting sustained strong demand for data centers.
- Collaboration with Nvidia: Vertiv's partnership with Nvidia is advancing the development of 800 VDC data center power infrastructure, focusing on power and cooling solutions compatible with AI architecture, thereby solidifying its position in the rapidly evolving AI market.
