you have the this AI accelerator family or MPU. How is it different from an Nvidia or AMD GPU, a Broadcom Marvel XPU or this large body of startups that are basically chasing rack scale solutions for AI. >> Yes.So, I I'll start answering the question by saying the following. Uh there's a lot of people that that will love Qualcon. There are people that are not going to like Qualcomm.But one thing everybody's probably going to say, don't bet against Qualcomm being a technology competent company. I think look, ...

Core Insights - AI datacenters are entering a new phase focused on inference rather than training, which is expected to reshape the competitive landscape and spending patterns in the industry [1][2][8] Shift from Training to Inference - The focus is shifting from training large models to optimizing inference processes, with techniques like distillation and quantization making inference cheaper and more efficient [2][3] - By 2027, inference is expected to dominate incremental compute spending, with a notable shift already occurring in 2025-2026 [3] Beneficiaries of the Shift - Broadcom is highlighted as a key beneficiary due to its custom ASICs that support inference for major companies like Google, Amazon, and Meta [4] - Marvell Technology is also positioned to benefit as inference workloads increasingly rely on Ethernet and PCIe, moving away from expensive training-oriented technologies [5] Hardware and Networking Trends - Celestica is well-positioned as the industry moves towards standardized, cost-effective inference hardware, allowing operators to source from multiple vendors [6] - Arista Networks continues to support high-performance training networks, but the shift towards Ethernet in inference may create new opportunities for networking companies [6] Power Efficiency and Deployment - Inference is significantly less power-hungry than training, often requiring 5-10 times less power, making it easier to deploy in datacenters with limited grid capacity [7] - The trend towards making AI cheaper, faster, and easier to run is expected to drive spending towards companies like Broadcom and Marvell [8]

AMD's Performance and Potential - AMD has consistently met the numbers provided by Lisa Su [1] - AMD aims for double-digit market share growth, targeting a 35% growth rate [8] - AMD is trading at a multiple of 50 times forward earnings [7] - The industry views AMD as having the best chance to be a legitimate second source in the market [7][8] AI Market Dynamics and Concerns - AI inference is driving real revenue for cloud players and neo-clouds [4] - The industry is seeing monetization of AI with increasing applications [4] - There are concerns about the timing around execution of AI products [2] - Hyperscalers are potentially understating depreciation of AI chips, artificially boosting earnings [4] - Older chips are still valuable for inference and are being sold to smaller NeoClouds with high utilization rates [6][7] Debt Financing and Financial Health - Debt financing is a concern if revenue and profit cannot be driven [3] - Increased inference is observed over the last 3-4 months [3] Nvidia's Position - Nvidia's transition to Blackwell wasn't as smooth as desired [2] - Nvidia is trading at a multiple of 33 times forward earnings [7] - Nvidia is releasing new products on a two-to-three-year cadence [6]

Financial Data and Key Metrics Changes - The company reported record financial performance with revenue increasing 13% to $1.8 billion, adjusted EBITDA growing 16% to $660 million, and AFFO rising 18% to $393 million [3][15][24] - Adjusted EBITDA margin improved to 37.6%, up 110 basis points year-on-year, reflecting enhanced margins in data center and asset lifecycle management (ALM) businesses [16][22] - AFFO per share increased 17% to $1.32, marking another all-time quarterly record [16] Business Line Data and Key Metrics Changes - The global records and information management (RIM) business achieved record quarterly revenue of $1.34 billion, up 6% year-on-year, driven by revenue management and higher digital revenue [15][17] - Data center revenue surged 33% year-on-year to $204 million, with organic storage rental growth increasing 32% [18][19] - ALM revenue increased 65% year-on-year to $169 million, with 36% organic growth attributed to strong operational execution [20][21] Market Data and Key Metrics Changes - The data center market remains robust, with leasing activity picking up as hyperscale customers focus on building out inference and cloud capacity [9][34] - The company has a pre-leasing backlog and strong pipeline, with 450 megawatts available for sale over the next 18-24 months [10][41] Company Strategy and Development Direction - The company is focused on sustaining industry-leading revenue and earnings growth, with a portfolio of growth businesses expected to contribute nearly 30% of total revenue by the end of 2025 [5][6] - Recent acquisitions, such as ACT Logistics, are aimed at strengthening market leadership in ALM and expanding capabilities [11][21] - The company is committed to maintaining a strong balance sheet while investing in high-return opportunities that drive double-digit growth [22] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in sustaining data center revenue growth, projecting over 25% growth in 2026 based on currently signed leases [4][10] - The company anticipates continued strong performance in the ALM business, with expectations of approximately $600 million in revenue for the year [30] - Management highlighted the importance of customer relationships and operational execution in driving future growth [6][13] Other Important Information - The board of directors authorized a 10% increase in the quarterly dividend, marking the fourth consecutive year of dividend growth [7][22] - The company secured a significant long-term contract with the U.S. Department of the Treasury valued at up to $714 million, expected to ramp linearly over five years [8][26] Q&A Session Summary Question: Can you talk more about the planned phasing of revenues for the Treasury contract? - Management indicated that the contract will ramp linearly with slight growth, influenced by seasonal tax volumes [26] Question: What are the expectations for the ALM business regarding volume versus price? - Management confirmed strong performance in ALM, with volume-led growth and some increases in component pricing expected to influence future growth rates [30][31] Question: Can you elaborate on the data center pipeline and demand? - Management noted a marked uptick in leasing activity from hyperscale customers, with a strong pipeline for the next 450 megawatts of capacity [34][41] Question: What drives client decisions to shift leasing locations? - Management explained that customer needs dictate such decisions, emphasizing a customer-centric approach [50][54] Question: What are the expectations for volumes and pricing in the RIM storage business? - Management anticipates continued organic volume growth and revenue management actions in the mid-single-digit range [58]

Generative AI and Innovation - Adobe Express is recognizing a bigger trend in generative AI, enabling everyone to tell their story creatively [2][3] - Generative AI simplifies content creation through prompts, creating images, videos, and audio [6] - Adobe is combining ideation with authoring applications like Express, Photoshop, and Acrobat, enhancing user experience [7] - Firefly models are designed to be commercially safe, trained on licensed content, and enabling enterprises to create custom models [10][13] - Adobe is focused on inference, usage, and workflows to provide lasting value to customers [24] Market Strategy and Competition - Adobe's product segmentation caters to creative professionals, marketers, and business professionals with different pricing and metrics [33] - The company believes models are a great on-ramp, but interface and usability are key for monetization [22] - Adobe is confident in its ability to monetize through inference, providing software, tools, and workflows [23][24] - The company emphasizes the importance of being a responsible provider of creative technology, representing the entire creative community [17] Partnerships and Infrastructure - Adobe has partnerships with major hyperscalers like Nvidia, Microsoft Azure, Google GCP, and Amazon AWP for technology provision [26] - The company acquired GPU capacity early on and has great partnerships to support its engineering needs [27][28]

Joining us this morning, Stacy Rasgen Bernstein, senior analyst. Stacy's got an outperform on Qualcomm target of 185. Stacy, what a great time to have you on.I mean, what do you make of this reaction and and the overall move. >> Yeah, you bet. So, today's probably a good day to announce something like this.Now, people actually forget Qualcomm has actually sold AI accelerators for for quite a while. They've had the AI 100. The these look like next generation parts.Um, so we'll see if they can compete or not. ...

Core Viewpoint - Qualcomm is positioned to benefit from the growing AI market, with significant potential in AI accelerators and CPUs for AI servers, despite current market models not reflecting this opportunity [1][2][3] Qualcomm's AI Strategy - Qualcomm has been selling AI accelerators for years, and the introduction of next-generation parts could enhance its competitive position in the AI space [1][3] - The company has substantial option value in AI, which is not currently reflected in market models [2][3] Market Dynamics and Competition - The inference market is expected to be more fragmented compared to the trading market, which is dominated by Nvidia [5][6] - There is potential for Qualcomm to gain market share in inference, as the total addressable market (TAM) is large enough to accommodate multiple players [6][7] Nvidia's Position - Nvidia is expected to maintain a strong position in the inference market, but increased competition could impact its market dominance [7][8] - The key question for Nvidia is not pricing but the ability to continue improving performance, which has historically allowed them to maintain margins despite rising costs [10][12] Future Outlook - The overall opportunity in the AI market remains significant, and as long as the market continues to grow, there is room for various companies to benefit [9][10] - Nvidia's strategy focuses on enhancing GPU performance, which is crucial for sustaining margins in a competitive landscape [12][13]

The way that I look at this is it's a very interesting go to market channel for you, a sales channel. Think about all of the clients that IBM has and how you've tried to grow the company. Explain how people will access help use through this.Well, through the cloud matrix. Absolutely. It's an extraordinary opportunity for both of us.IBM is going to have their sellers sell across skew. And so now you'll be able to directly access our speed, the advantages that we offer. You could think of it a little bit like ...

Core Insights - The partnership between IBM and Grok aims to enhance AI deployment speed and reduce costs, with Grok providing significant performance improvements at a fraction of the cost [5][8][18] - IBM's AI business, particularly with Watson X, has a substantial book of business valued at $7.5 billion, indicating strong momentum in the AI sector [4][8] - The collaboration is expected to address the cost challenges associated with AI, with IBM projecting $4.5 billion in productivity gains by the end of the year [8] Partnership Dynamics - IBM will integrate Grok into its sales strategy, allowing clients to access Grok's capabilities through IBM's established channels [2][5] - There is a revenue-sharing model in place as part of the partnership, which is designed to benefit both companies [5][18] - The integration of Grok with IBM's Watson X is intended to be seamless, enhancing user experience without requiring significant changes from clients [9][10] Market Demand and Client Base - Financial services have been early adopters of Grok, but there is a growing trend towards multi-model AI solutions across various sectors [11][12] - The demand for faster inference and improved operational efficiency is driving interest in Grok's technology [7][10] - IBM's ability to fulfill client orders quickly is highlighted as a competitive advantage in a supply-constrained market [13][14] Technology and Innovation - Grok's technology is positioned to improve AI inference speed significantly, which is crucial for applications like call centers and supply chain management [7][10] - The partnership is open to collaboration with other AI technologies, indicating a flexible approach to enhancing AI capabilities [16][17] - IBM's existing relationships and trust in the market are leveraged to promote Grok's adoption among enterprise clients [18][19]

Core Insights - Oracle plans to build a new data center utilizing 50,000 AMD chips to enhance its AI capabilities, marking a significant move in the AI sector [1][2] - The partnership with AMD is seen as a strategic choice for Oracle, particularly in the inference space, as they have a long-standing relationship and a robust software stack [3][4] - Oracle's investment in AMD chips is a substantial commitment, reflecting founder Larry Ellison's vision for the company's competitive stance against major players like Microsoft, Amazon, and Google [5][6] Company Developments - Oracle is deploying AMD's latest AI chips to create a supercluster aimed at enabling customers to run larger and more complex AI models by the second half of next year [2] - The market is responding positively to AMD, with its shares rising as it is increasingly recognized as a viable competitor in the inference market, especially following OpenAI's recent investment in AMD [4] - Larry Ellison is expected to provide insights into a $300 billion deal with OpenAI and discuss Oracle's new cloud offerings that aim to enhance efficiency and speed for customers [5][6] Financial Considerations - Oracle's financial analyst day will reveal how the company plans to fund its significant chip purchases, indicating the importance of this week for Oracle's financial strategy [6]