Arm (NasdaqGS:ARM) Q3 2026 Earnings call February 04, 2026 05:00 PM ET Speaker1Welcome to the Arm third quarter fiscal year 2026 webcast and conference call. At this time, all participants are in a listen-only mode. After the speaker's presentation, there'll be a question-and-answer session. To ask a question during the session, you will need to press star 1 and 1 on your telephone. You will then hear an automated message advising your hand is raised. To withdraw your question, please press star 1 and 1 aga ...

Core Viewpoint - Advanced Micro Devices (AMD) is strategically positioning its chip technology to cater to the growing demands of artificial intelligence (AI) workloads, particularly in the area of AI inference, which is expected to drive significant growth for the company in the coming year [1][2]. Group 1: AI Inference and Chip Design - AMD has specifically designed its upcoming Venice EPYC processors and MI455 GPUs to excel in AI inference, featuring double the memory bandwidth to handle increased data processing demands [3]. - The shift from training to inference in AI workloads is crucial, as it allows for instant generation of answers, images, and videos from user input, indicating a transformative change in data center operations [1]. Group 2: Market Performance and Partnerships - AMD's stock has seen a 51% increase over the last six months, reflecting positive market sentiment and growth potential [1]. - The company has established key partnerships, including with Luma AI, which runs most of its inference workloads on AMD chips and plans to expand its collaboration in 2026 [5]. - AMD is also a significant partner of OpenAI, which will utilize its MI455 GPUs for large-scale deployments starting in the second half of this year [5]. Group 3: Financial Projections - Wall Street analysts project a 65% increase in AMD's earnings per share for this year, indicating strong financial growth expectations as AI inference becomes the dominant workload in data centers [6].

Core Insights - IBM's mainframe business is thriving, recording its best fourth-quarter revenue in over 20 years with a 61% year-over-year increase, adjusted for currency [2] - The mainframe systems are crucial for industries requiring high reliability and security, with 71% of Fortune 500 companies utilizing them [3] Group 1: Financial Performance - IBM's mainframe revenue surged 61% year-over-year, contributing to a 17% increase in the infrastructure segment [2] - The mainframe business is a significant part of IBM's overall strategy, showcasing resilience and growth in a competitive market [1] Group 2: Market Presence - Over 90% of installed mainframe systems are from IBM, with 92% of large financial institutions and 63% of government agencies relying on these systems [3] - Mainframes process over 87% of global credit card transactions, highlighting their importance in financial operations [3] Group 3: Technological Advancements - The latest z17 mainframe systems are designed for the AI era, capable of handling over 250 AI use cases and performing up to 450 billion AI inferencing operations per day, a 50% increase from its predecessor [5] - IBM's z17 mainframe systems have an average response time of just one millisecond, making them suitable for real-time applications [5] Group 4: Future Outlook - IBM anticipates a shift in the AI inferencing market, predicting that in three to five years, 50% of enterprise AI usage will occur in private clouds or on-premises data centers [7] - The company is also enhancing its mainframe capabilities with the Spyre AI accelerator, allowing for more powerful AI model execution [6]

Financial Data and Key Metrics Changes - Revenues for Q4 2025 were $16.9 million, a 17% increase from $14.5 million in Q4 2024, exceeding guidance of $15 to $16 million [8][19] - Gross profit for Q4 2025 was $5.1 million, with a gross margin of 30.2%, compared to a gross profit of $4.2 million and a gross margin of 29.1% in Q4 2024 [21] - Net loss for Q4 2025 was $1.9 million, an improvement from a net loss of $5.1 million in Q4 2024, with loss per share decreasing from $0.87 to $0.34 [21][22] Business Line Data and Key Metrics Changes - The company achieved eight major new design wins in 2025 across edge systems, SmartNIC, and FPGA solutions, indicating strong demand and visibility for future growth [9][10] - The company expects to target between 7 and 9 design wins in the current year, reflecting confidence in sustaining growth [10][17] Market Data and Key Metrics Changes - Geographical revenue breakdown for the last 12 months: North America 74%, Europe and Israel 17%, Far East and rest of the world 9% [19] - One customer accounted for approximately 14% of total revenues, indicating reliance on a limited number of customers for substantial revenue growth [19] Company Strategy and Development Direction - The company is focusing on three major growth engines: AI inference, post-quantum cryptography, and white label switching, which are expected to provide significant growth opportunities [11][12][15] - The company aims to leverage existing customer relationships and IP to capitalize on these new markets, with AI inference being identified as the largest opportunity [12][14] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the core business's growth, projecting double-digit revenue growth for 2026 based on a solid pipeline of opportunities [10][16] - The company highlighted the importance of early positioning in emerging markets and the need for credibility and execution to capture growth [11][12] Other Important Information - The company's balance sheet remains strong, with working capital and marketable securities totaling $111 million, including $74 million in cash and no debt [10][22] - Management emphasized the flexibility to invest in market opportunities while maintaining a conservative financial profile [17] Q&A Session Summary Question: Timeline for new opportunities in AI inference, post-quantum cryptography, and white label switching - Management indicated that all three opportunities are in initial stages, with AI inference potentially being the most near-term, but significant revenue is not expected in 2026 [24] Question: Sales cycles and design processes for new opportunities - Management expects faster sales cycles due to leveraging existing IP and know-how, which should facilitate quicker revenue generation [25] Question: Changes to sales process or additional investments for new opportunities - Management believes the current team is well-structured to support growth and does not foresee the need for significant additional investments at this time [27] Question: Specific use cases for AI inference and connectivity bottlenecks - Management clarified that the focus is on addressing networking challenges related to AI inference across various deployment types [30][31] Question: R&D spending to support new opportunities - Management does not anticipate significant increases in R&D spending but has the capability to do so if necessary [32]

Financial Data and Key Metrics Changes - Revenues for Q4 2025 were $16.9 million, a 17% increase from $14.5 million in Q4 2024, exceeding guidance [8][19] - Gross profit for Q4 2025 was $5.1 million, with a gross margin of 30.2%, compared to a gross profit of $4.2 million and a gross margin of 29.1% in Q4 2024 [21] - Net loss for Q4 2025 was $1.9 million, an improvement from a net loss of $5.1 million in Q4 2024, with loss per share decreasing from $0.87 to $0.34 [21][22] Business Line Data and Key Metrics Changes - The company achieved eight major new design wins in 2025 across edge systems, SmartNIC, and FPGA solutions, indicating strong demand for core products [9][10] - The opportunity pipeline is broader than ever, with expectations for 7 to 9 design wins in the current year [10][17] Market Data and Key Metrics Changes - Geographical revenue breakdown for the last 12 months: North America 74%, Europe and Israel 17%, Far East and rest of the world 9% [19] - One customer accounted for approximately 14% of total revenues, indicating reliance on a limited number of customers for substantial revenue growth [19] Company Strategy and Development Direction - The company is focusing on three major growth areas: AI inference, post-quantum cryptography, and white label switching, which are expected to drive significant revenue growth [11][12][15] - The company aims to leverage existing customer relationships and IP to capitalize on these new opportunities while maintaining a strong core business [17][18] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the potential for accelerated double-digit revenue growth in 2026 and beyond, supported by a solid foundation of design wins and a strong balance sheet [10][16] - The company anticipates that the core business will continue to grow strongly, with new opportunities expected to contribute in the longer term [24][25] Other Important Information - The company reported a strong balance sheet with $111 million in working capital and marketable securities, including $74 million in cash and no debt [10][22] - Management emphasized the importance of early positioning in emerging markets and the need for credibility and execution to capitalize on growth opportunities [11][12] Q&A Session Summary Question: Timeline for new opportunities in AI inference - Management indicated that all three new opportunities are in initial stages, with no significant revenue expected in the near term, but the core business is expected to remain strong [24] Question: Sales cycles and design processes for new opportunities - Management noted that leveraging existing IP and know-how could lead to faster revenue generation compared to historical timelines [25] Question: Changes to sales process or additional investments - Management believes the current team structure is adequate to support growth and does not foresee significant additional spending in R&D at this time [27][32]

Financial Data and Key Metrics Changes - Revenues for Q4 2025 were $16.9 million, a 17% increase from $14.5 million in Q4 2024, exceeding guidance of $15 to $16 million [8][20] - Gross profit for Q4 2025 was $5.1 million, with a gross margin of 30.2%, compared to a gross profit of $4.2 million and a gross margin of 29.1% in Q4 2024 [21] - Net loss for Q4 2025 was $1.9 million, an improvement from a net loss of $5.1 million in Q4 2024, with loss per share decreasing from $0.87 to $0.34 [22][23] Business Line Data and Key Metrics Changes - The company achieved eight major new design wins in 2025 across edge systems, SmartNIC, and FPGA solutions, indicating strong demand for core products [9][10] - The opportunity pipeline is broader than ever, with expectations for 7 to 9 design wins in the current year, supporting continued growth [10][18] Market Data and Key Metrics Changes - Geographical revenue breakdown for the last 12 months: North America 74%, Europe and Israel 17%, Far East and rest of the world 9% [20] - One customer accounted for approximately 14% of revenues, indicating reliance on a limited number of customers for substantial revenue growth [20] Company Strategy and Development Direction - The company is focusing on three major growth areas: AI inference, post-quantum cryptography, and white label switching, which are expected to drive significant revenue growth [11][12][16] - The strategy includes leveraging existing customer relationships and IP to capitalize on new market opportunities while maintaining a strong balance sheet [18][19] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the potential for accelerated double-digit revenue growth in 2026 and beyond, supported by a solid foundation of design wins and customer engagements [10][17] - The company anticipates that the core business will remain strong, with new opportunities expected to contribute to growth in the future [25][26] Other Important Information - The company reported a strong balance sheet with $111 million in working capital and marketable securities, including $74 million in cash and no debt [10][23] - Management emphasized the importance of early positioning in emerging markets and the need for credibility and execution to capitalize on growth opportunities [12][18] Q&A Session Summary Question: Timeline comparison for new opportunities - Management indicated that all three new opportunities are in initial stages, with core business expected to remain strong in 2026 [25] Question: Sales cycles and design processes - Management expects faster sales cycles due to leveraging existing IP and know-how, which should facilitate quicker revenue generation [26] Question: Changes to sales process or investments - Management believes the current team structure is adequate to support growth and plans to maintain existing investments without significant increases [27] Question: Specifics on AI inference use cases - Management clarified that AI inference challenges involve connectivity bottlenecks across various deployment types, creating opportunities for their solutions [30][31] Question: R&D spending for new opportunities - Management does not foresee the need for increased R&D spending at this time but has the capability to do so if necessary [32]

Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference.The 200, which follows the company’s Maia 100 released in 2023, has been technically outfitted to run powerful AI models at faster speeds and with more efficiency, the company has said. Maia comes equipped with over 100 billion transistors, delivering over 10 petaflops in 4-bit precision and approximately 5 petaflops of 8-bit performance — a substantial in ...

Core Insights - The AI revolution is transitioning from training large language models to real-world application, emphasizing the importance of effective scaling and performance [1] - AI inference, the "doing" phase, requires models to process new data and deliver accurate predictions and decisions [2] Company Analysis: Broadcom - Broadcom is positioned to benefit significantly from the AI revolution, providing essential semiconductor chips and software that enable AI deployment [4] - The company specializes in application-specific integrated circuits, which are tailored for specific workloads, offering advantages over more flexible graphics processing units from competitors like Nvidia and AMD [4] - A global shortage of high-end chips gives chipmakers pricing power, with the chip market projected to grow at a compound annual rate of 16.1%, potentially reaching $1.6 trillion by 2030 [5] - Despite competition from Nvidia, the rapidly growing market allows ample opportunity for Broadcom to thrive, as it already serves major tech companies like Alphabet, Meta Platforms, and Apple [6] Growth and Financial Performance - Broadcom is expected to be a key player in the transition of AI from training to broader deployment, presenting significant growth catalysts for its stock [7] - The stock has increased by 58% over the past year and has a current annualized dividend yield of approximately 0.75% [7] - Broadcom's market capitalization has surpassed $1.6 trillion, with a remarkable stock increase of nearly 700% over the past five years [8] - The company's net revenue rose by 28% year over year in the fourth quarter [8]

Proven CEO and C-suite leader with 30+ years of experience in semiconductors, data center, AI, networking and cloud infrastructure Increasingly responsible leadership roles over 20 years at IntelExpertise includes corporate realignment and transformation, and scaling multi-billion-dollar businesses PARIS, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Sandra Rivera, former CEO of Altera, an Intel FPGA spinout, today assumed the role of Chair of the Board of Directors of VSORA, a French technology leader redefining AI in ...

Core Viewpoint - Nvidia is acquiring Groq's assets and talents for $20 billion, which is expected to enhance its position in the AI inference market [1][5]. Group 1: Acquisition Details - The acquisition of Groq, an AI startup specializing in high-bandwidth, low-latency architectures, is seen as a strategic move for Nvidia [1]. - The $20 billion price tag is relatively small compared to Nvidia's market capitalization, indicating minimal financial risk associated with the deal [5]. Group 2: Market Performance - Nvidia's stock has increased approximately 120% from its year-to-date low in early April [2]. - The consensus rating for Nvidia shares remains at "Strong Buy," with a mean price target of $256, suggesting potential upside of over 35% from current levels [6]. Group 3: Analyst Insights - Mizuho analyst Vijay Rakesh believes the Groq deal will provide a meaningful long-term benefit for Nvidia shares, particularly in AI inference, which is projected to account for up to 80% of workloads [3]. - Rakesh maintains an "Outperform" rating with a price target of $245, indicating a potential upside of 32% [4].