AI infrastructure

Oracle’s shares rose after projecting significant revenue growth driven by AI infrastructure. The company forecasts $20 billion in AI-powered database revenue by fiscal year 2030, a substantial increase from previous estimates. Oracle secured $65 billion in new cloud infrastructure commitments this quarter, including a major deal with Meta. The company is expanding its cloud infrastructure, competing with Amazon and Google, and offers its database solutions on rival platforms. Oracle also secured a commitment from OpenAI valued at over $300 billion. They project adjusted earnings per share of $21 on $225 billion in revenue for fiscal 2030.

Nvidia, Microsoft, BlackRock, and xAI are set to acquire Aligned Data Centers for $40 billion, the largest data center deal to date. This acquisition, led by the Artificial Intelligence Infrastructure Partnership (AIP), signals a surge in investment into the physical infrastructure required to support accelerating adoption of AI. Aligned, a design and operator of data centers, currently owned by Macquarie Asset Management, has 50 campuses with over 5 gigawatts of power capacity, making it an ideal initial investment for the AIP. The deal is expected to close late next year.

The AI sector is experiencing rapid growth driven by substantial investments and interconnected deals among key players like OpenAI, Nvidia, Oracle, Softbank, and Microsoft. OpenAI alone has engaged in roughly $1 trillion in transactions this year, including major cloud computing infrastructure deals with Oracle and CoreWeave. Nvidia secures its market by investing in CoreWeave’s computing capacity. While these investments fuel advancements, concerns arise about potential overvaluation and the need for significant revenue growth to justify current levels. Some see present valuations as a bubble, while others defend the massive spending as necessary for realizing AI’s potential.

Nscale, a UK-based AI cloud infrastructure provider, confirmed it is considering an IPO, aiming for a listing potentially in late 2025. This follows a $14 billion deal with Microsoft, part of a larger $23 billion agreement for Microsoft to acquire around 200,000 Nvidia GB300 GPUs. This deal, combined with previous funding rounds including a $1.1B Series B, highlights Nscale’s rapid growth driven by the increasing demand for AI infrastructure. Investors include Dell, Nvidia and Nokia. The potential IPO could significantly impact the European tech and AI ecosystem.

Michael Dell acknowledges booming AI server demand while anticipating a potential saturation point. Fueled by AI’s evolution, Dell’s server and networking business surged, with AI servers integrating Nvidia chips used by CoreWeave and xAI. Dell raised revenue and EPS growth expectations, projecting $20B in fiscal 2026 AI server shipments. Power consumption is a key challenge, as highlighted by OpenAI’s energy-intensive data center plans, requiring focus on energy-efficient solutions and infrastructure development.

Altimeter’s Brad Gerstner views OpenAI’s partnerships with Nvidia and AMD cautiously, emphasizing the difference between announcements and actual hardware deployment. OpenAI’s pursuit of advanced silicon reflects the escalating demand for AI compute power and intensifying industry competition. Gerstner notes the world will remain “compute-constrained.” The AI hardware race between the U.S. and China is also highlighted, with concerns raised about Chinese AI firm DeepSeek’s potential government alignment and the need for increased compute capacity for U.S. firms like OpenAI to maintain competitiveness.

OpenAI and AMD have reportedly finalized a deal where OpenAI will take a 10% stake in AMD, driving AMD’s stock up. OpenAI plans to deploy 6 gigawatts of AMD’s GPUs, starting with 1 gigawatt in 2026. AMD will issue OpenAI a warrant for 160 million shares, vesting upon achievement of deployment and performance milestones. This partnership aims to alleviate supply chain concerns and diversify OpenAI’s hardware sources. This deal, alongside existing agreements with Nvidia, signifies OpenAI’s massive $1 trillion investment in AI infrastructure. Analysts highlight the interconnectedness and potential vulnerabilities within this AI supply chain.

Nvidia’s stock hit a new record high, exceeding $4.5 trillion in market capitalization, driven by its dominant role in AI. The stock is up 39% year-to-date, fueled by strategic deals and its essential AI infrastructure. Rumors suggest closer ties with OpenAI, including a potential equity stake and plans for massive Nvidia-powered data centers (“Stargate”) requiring a $500B investment. Citi analysts raised Nvidia’s price target, citing increased AI infrastructure spending. Meta and Google are also increasing AI investments, benefiting Nvidia, and highlighting the competitive AI landscape.

CoreWeave (CRWV) shares jumped nearly 12% after announcing a $14.2 billion AI cloud infrastructure deal with Meta (META). This follows a $6.5 billion expanded agreement with OpenAI, totaling $22.4 billion. CoreWeave specializes in high-performance computing using Nvidia GPUs, catering to the growing demand for AI and machine learning workloads. Meta’s commitment includes options for expansion through 2032, reflecting its broader investment in AI. Meta projects significant expenses for AI initiatives, including the launch of its first supercluster, highlighting the increasing competition and opportunity in the AI cloud market.

OpenAI, valued at $500 billion, is heavily investing in AI infrastructure, securing agreements worth billions with companies like Nvidia, Oracle, and CoreWeave. These expenditures drive innovation but raise concerns about sustainability. While OpenAI anticipates $13 billion in revenue this year, analysts caution about vendor financing similarities to the dot-com era and the immense revenue needed to justify the investments. CEO Sam Altman defends the spending, emphasizing the infrastructure needs for AI’s future, citing compute power demands that could necessitate $2 trillion in annual revenue.