Core Insights - Microsoft is significantly investing in AI infrastructure, with a $3.3 billion data center in Wisconsin set to be operational by early 2026, and plans for an additional $4 billion investment for a second data center in the same state, bringing total investment to over $7 billion [1][3] - The Fairwater data center will utilize a vast network of NVIDIA GPUs, aiming to operate as a powerful AI supercomputer, with performance expected to be ten times that of the current fastest supercomputer [3][4] - The project highlights the competitive landscape in AI infrastructure, with Microsoft rapidly expanding its GPU cluster capabilities and committing to substantial investments globally [6][7] Investment Details - The Fairwater data center will cover 315 acres and consist of three buildings totaling 1.2 million square feet, equipped with hundreds of thousands of NVIDIA GB200 GPUs [1][4] - The facility will feature advanced cooling systems, with over 90% of its operations relying on a closed-loop water and chemical system, minimizing water usage [4][6] - Microsoft has added over 2 GW of capacity in the past year, equivalent to the output of two nuclear power plants, indicating a strong commitment to scaling AI infrastructure [6][7] Global Expansion Strategy - The Wisconsin project is part of a broader global initiative, with multiple similar data centers under construction across the U.S. and partnerships for new facilities in Europe, including a $19.4 billion agreement with Nebius in the Netherlands [7] - Microsoft is also collaborating with nScale and Aker to develop a large-scale AI data center in Norway and is building the largest supercomputer in the UK [7] - The company has committed to investing an additional $15.5 billion in infrastructure in the UK by 2028, further solidifying its global AI infrastructure network [7]

Core Viewpoint - The report from Mizuho Securities provides an analysis of companies including Broadcom, NVIDIA, AMD, Supermicro, and Huawei, highlighting the expected growth and challenges in the AI ASIC and GPU markets. Group 1: Broadcom and NVIDIA - Mizuho expects Broadcom's custom ASIC chips (TPUv7p/MTIA2) to accelerate in deployment by 2026, potentially being used in OpenAI's Strawberry and Apple's Baltra projects in the second half of 2026 [1] - In 2024, Broadcom's custom ASIC chips are projected to account for 70%-80% of usage, establishing it as a leader in AI ASICs, excluding self-manufactured AI ASICs like Google's TPU [1] - The UMAIN project in Saudi Arabia plans to deploy 4,000 GB200 NVL72 servers, corresponding to 280,000 NVIDIA GPUs and 350,000 AMD GPUs over the next five years [1] - The G42 project in the UAE has committed to importing 500,000 NVIDIA GB200 GPUs annually, valued at $15 billion, although the sustainability of this figure is questioned [1] Group 2: Huawei - The report anticipates that Huawei's Ascend 910 orders will exceed 700,000 units by 2025, with the next-generation Ascend 920 expected to launch in 2026 [2] - However, the current yield rate for the Ascend 910 is low at only 30%, a figure corroborated by previous reports [2][3] - Other estimates suggest that the shipment volume for the Ascend 910 series could be over 700,000 units this year [5]