Investment Rating - The report upgrades Broadcom Inc to a Buy from Hold with a target price of USD 400, up from USD 240, indicating an implied upside of approximately 58% from the current share price of USD 253.77 [5][7][12]. Core Insights - The report expresses a positive outlook on Broadcom driven by improved visibility into ASIC revenues, which are expected to significantly exceed market expectations due to better project visibility and pricing power [2][3][12]. - Concerns regarding potential share loss in the wireless segment and a slowdown in VMware have been toned down, with revised estimates aligning more closely with consensus [4][54][57]. ASIC Revenue Potential - ASIC revenue is projected to ramp up significantly starting FY26, with expectations of strong demand from existing customers and the addition of new customers, leading to a compound annual growth rate (CAGR) of 96% from 2023 to 2027 [21][51]. - The report revises ASIC revenue estimates for FY26 and FY27 to USD 28.4 billion and USD 42.8 billion, respectively, which are 42% and 69% higher than consensus estimates [3][31][36]. - The anticipated increase in ASIC blended average selling prices (ASPs) is expected to be 92% year-over-year in FY26 and 25% in FY27, driven by a shift towards larger die sizes and improved memory specifications [27][31][39]. Wireless Segment and VMware - The report revises wireless revenue estimates for FY26 and FY27 to USD 6.8 billion and USD 6.3 billion, respectively, reflecting a more gradual share loss from Apple than previously expected [4][56]. - VMware's revenue growth is expected to remain stable for another 18 months as customers transition to subscription models, mitigating concerns about an imminent slowdown [4][57]. Financial Projections - Broadcom's projected earnings per share (EPS) for FY27 is now estimated at USD 12.54, which is 32% above consensus estimates [5][8][12]. - The report highlights a significant increase in revenue and EBITDA projections for FY26 and FY27, with revenue expected to reach USD 82.6 billion and USD 102.7 billion, respectively [13][14].

Core Insights - VCI Global Limited has launched the QuantGold Data Platform, an AI infrastructure that allows computation on sensitive data without compromising ownership or privacy, targeting a market worth approximately US$400 billion [1][4][9] - The platform is designed to address the challenge that nearly 90% of institutional data remains inaccessible due to privacy and regulatory constraints, particularly in critical sectors like healthcare and finance [3][4] - QuantGold operates on a pay-per-compute model, enabling data owners to monetize sensitive data while retaining control, with deployments already in over 100 organizations [2][6][9] Company Overview - VCI Global will hold a 20% equity stake in QuantGold and integrate its existing cybersecurity, AI GPU, and data infrastructure businesses into the platform [2] - The company focuses on technological innovation across various sectors, including AI & Robotics, Fintech, Cybersecurity, Renewable Energy, and Capital Market Consultancy [10] Technology and Features - QuantGold is supported by over 120 encryption patents and utilizes a zero-trust infrastructure that allows AI models to perform computations on encrypted data without accessing raw data [5][7][9] - Key features include encrypted data vaults, GPU-backed compute clusters, blockchain-verified query logs, and a secure data onboarding portal [7][8][9] - The platform aims to unlock significant unrealized value from sensitive data, potentially amounting to hundreds of billions [4]

Core Insights - HIVE Digital Technologies Ltd. has announced the acquisition of a 7.2 MW data center in Toronto, Canada, aimed at enhancing its high-performance computing (HPC) infrastructure and developing a sovereign AI ecosystem through its subsidiary BUZZ HPC [3][4][5]. Group 1: Acquisition Details - The facility will serve as a foundational pillar for BUZZ HPC's growth, enabling the deployment of advanced liquid-cooled compute infrastructure for AI workloads [4][5]. - The acquisition is positioned strategically in Toronto, which is recognized as Canada's largest tech hub, facilitating access to higher education, AI research, and fiber optic connectivity [5][6]. Group 2: Strategic Importance - This move is part of HIVE's long-term vision to build next-generation compute infrastructure in Canada, contributing to the development and hosting of Canadian data and AI models [5][6]. - The Toronto data center is expected to support large-scale AI training, inference, and cloud services tailored for Canadian enterprises and government initiatives [4][5]. Group 3: Future Plans and Commitments - HIVE aims to upgrade the facility to Tier 3 standards, allowing it to operate a GPU cloud of up to 5,000 next-generation GPUs for AI compute [7]. - The acquisition aligns with HIVE's commitment to sustainable digital infrastructure, with plans to integrate green energy sources [6][7].

Investment Rating - The industry investment rating is "In-Line" [7] Core Insights - Market sentiment towards AI is perceived to be ahead of fundamentals, with a notable enthusiasm following the recent elections, despite a lack of detailed plans [1] - The new government's focus on AI is expected to positively impact the industry, with plans for W100 trillion in AI investments highlighted during the election [3] - The government is anticipated to support AI-related investments through shared resources and subsidies, which could enhance competitiveness for participating companies [4] Summary by Sections AI Market Sentiment - AI-related stocks experienced significant gains, with Naver rising by 20% and other internet stocks also showing strong performance, indicating a "buy first, ask questions later" sentiment [2] Government Initiatives - The government's push for AI aims to improve Korea's competitiveness in the sector, with a focus on developing 'sovereign AI' to provide low-cost or free access to advanced AI services for citizens [3][5] Investment Opportunities - There is a growing demand for AI infrastructure, particularly data centers, which are expected to benefit from government policies facilitating large-scale projects [6] - Companies like KT, SKT, and LGU are identified as major players in the data center space, poised to capitalize on AI opportunities [6] Company Ratings - The report includes specific ratings for various companies within the sector, with notable mentions such as: - Coupang Inc: Overweight - Kakao Corp: Overweight - NCSOFT Corp: Overweight - SK Telecom: Overweight - Naver Corp: Equal-weight [64]

And US tech firms have been deepening ties to Gulf states investing heavily in AI with tensions up in the Middle East. Dear Jabosa digs into the risks of sovereign AI in today's tech check. Hi Dearra.Hey Kelly. So sovereign AI and that is to remind you countries that want to build their own AI systems. It hasn't always come with with a clear business case.In many of these cases they were government-ledd projects built for political prestige rather than commercial demand. And the Middle East is a perfect exa ...

US tech firms have been deepening ties to the Middle East with Gulf States investing heavily in AI. But as this geopolitical turmoil in the region heats up, Debos is looking at how those ties are starting to expose the risks of that so-called sovereign AI bucket we talked so much about last month, Steve. So much about.And remember, Carl, that sovereign AI, it was supposed to be the next big thing. A wave of national efforts across the Middle East and beyond picking up where China left off after US exports c ...

Core Message - Nvidia is positioning itself as a key player in helping Europe build its artificial intelligence infrastructure, emphasizing the importance of AI as a foundational technology for the region's future [2][5]. Group 1: Nvidia's Role in AI Infrastructure - Jensen Huang, CEO of Nvidia, has articulated that the company is more than just a chip manufacturer, framing Nvidia as an infrastructure firm essential for developing AI capabilities in Europe [5]. - Huang highlighted the need for Europe to collaborate and build a joint capacity in AI to compete effectively on a global scale [6]. - A significant partnership was announced between French startup Mistral and Nvidia to create an AI cloud utilizing Nvidia's GPUs [6]. Group 2: Sovereign AI and European Potential - The concept of "sovereign AI" was discussed, focusing on the importance of establishing data centers within national borders to serve local populations [7]. - Huang praised the potential of the U.K., France, and Europe in the AI sector, indicating a positive outlook for the region's capabilities [7]. Group 3: Competitive Landscape with China - Nvidia has faced challenges in selling advanced chips to China due to U.S. export controls, resulting in a $4.5 billion loss on unsold inventory in its last quarterly results [8]. - Huang noted that while Huawei is currently a generation behind Nvidia in AI chip technology, the company is leveraging its resources to catch up [9]. - Concerns were raised about the strategic implications of U.S. companies not engaging with the Chinese market, which could allow Chinese firms to advance in the AI race [11][12]. Group 4: Future Technologies - Huang expressed optimism about the future of robotics and autonomous vehicles, predicting that this decade will be pivotal for these technologies [13][14]. - He also mentioned that quantum computing is reaching an "inflection point," with the potential to solve complex problems beyond the capabilities of classical computers [15].

Core Insights - NVIDIA Corporation is showcasing its leadership in the AI market and the growing opportunities for sovereign AI at GTC Paris, according to an analyst note from JPMorgan [1][2] - The analyst maintains an Overweight rating on NVIDIA with a price target of $170, highlighting strong AI infrastructure deployment expected over the next several years [1][4] Group 1: AI Market Leadership - NVIDIA's keynote at GTC Paris emphasized the sovereign AI opportunities in Europe and the accelerating demand for its platforms and software solutions [2] - The company is positioned as a "one-stop solution provider" in the AI space, with sovereign AI representing an incremental revenue opportunity as countries develop their AI infrastructure [2][3] Group 2: Market Opportunities - NVIDIA anticipates building out $1.5 trillion worth of AI infrastructure in the coming years, which is additional spending beyond the U.S. cloud and hyperscaler sectors [2] - The European market is currently underserved, but investments are increasing, with NVIDIA partnering with European companies in telecommunications, cloud, and neo-cloud sectors to enhance AI expansion [3] Group 3: Business Segments and Growth - NVIDIA is expected to execute effectively across all business segments, with strong growth anticipated in the second half of the year [4] - The stock price of NVIDIA has increased by 0.9% to $144.69, with a year-to-date increase of 4.6% in 2025 [4]

Core Insights - Nvidia is positioning itself as a key player in the global AI infrastructure landscape through partnerships with European countries and companies [1][5] - The company aims to enhance AI computing capacity in Europe by a factor of 10 over the next two years, amidst challenges from U.S. export restrictions [5] Partnerships and Projects - Nvidia announced a partnership with French startup Mistral to create an "AI cloud" utilizing 18,000 Nvidia Grace Blackwell chips [6] - Infrastructure projects are also being developed in Italy and Armenia [6] - Collaborations with telecommunications companies like Orange and Telefonica focus on deploying AI applications and large language models [7] Infrastructure Development - Nvidia is building an "industrial cloud" in Germany featuring 10,000 GPUs tailored for European manufacturers [7] - The concept of "sovereign AI" emphasizes the importance of regional data centers and servers for EU users [8] - Nvidia is establishing "tech centers" across Europe to promote advanced research and workforce upskilling in countries such as the U.K., France, Spain, and Germany [8] Product Expansion - The company expanded its DGX Cloud Lepton product, integrating it with AI model repository Hugging Face, allowing global access to GPUs for AI applications [9]

Core Insights - NVIDIA is collaborating with model builders and cloud providers in Europe and the Middle East to enhance sovereign large language models (LLMs), aiming to boost enterprise AI adoption across various industries in the region [1][5][16] Group 1: Partnerships and Collaborations - Key partnerships include organizations such as Barcelona Supercomputing Center, Bielik.AI, Dicta, and several universities, which will utilize NVIDIA's Nemotron techniques to improve model efficiency and accuracy for enterprise AI workloads [2][6][16] - The collaboration aims to create an integrated regional AI ecosystem that reflects local languages and cultures, supporting Europe's 24 official languages [6][16] Group 2: Technology and Infrastructure - The LLMs will be optimized using NVIDIA's Nemotron model-building techniques, which include neural architecture search and reinforcement learning, to enhance operational efficiency and user experience [7][16] - Post-training and inference will be conducted on AI infrastructure provided by NVIDIA Cloud Partners, ensuring localized support for the models [3][7] Group 3: Application and Impact - The sovereign models will be integrated into Perplexity, an AI-powered answer engine that processes over 150 million questions weekly, enhancing the accuracy of search queries and AI outputs for European enterprises [4][9][10] - The initiative is expected to empower innovation in Europe by providing AI solutions that are developed and operated locally, thereby transforming various industries [5][10]