Core Financial Performance - Arm achieved record performance in Q2 of FY2026, with revenue reaching $1.14 billion, a 34% year-over-year increase, marking the third consecutive quarter exceeding $1 billion [1] - Royalty revenue was $620 million, up 21% year-over-year, driven by growth across data centers, smartphones, automotive, and IoT markets [1] - Licensing revenue reached $515 million, a significant increase of 56% year-over-year, primarily due to accelerated customer adoption of next-generation AI chip architectures [1] Management Insights and Strategic Direction - CEO Rene Haas emphasized that AI is expanding from cloud to edge and endpoint devices, with Arm's architecture leading the industry in energy efficiency by approximately 50%, making it the preferred platform for major cloud and supercomputing vendors [6] - Arm announced a strategic partnership with Meta to enhance AI computing efficiency and consistency across devices, leveraging both companies' strengths [7] - The new Lumex Compute Subsystem (CSS) was introduced for mobile AI experiences, with early revenue generation due to prior collaborations shortening production cycles [8][9] Market Penetration and Product Strategy - Arm added three new CSS licenses this quarter, bringing the total to 19 licenses across 11 companies, with major Android manufacturers adopting the CSS architecture [11] - Arm's architecture is increasingly penetrating the smart automotive and edge device markets, with notable implementations in Google Pixel 10 and Tesla's new AI chip [12][14] - The company is accelerating R&D investments to explore complete computing subsystems and Chiplet or SoC-level products, indicating a shift towards system-level innovations [15] Q&A Highlights - Arm's platform is seen as a key player in the AI data center construction wave, with significant demand for energy-efficient solutions [15] - The acquisition of DreamBig Semiconductor is aimed at enhancing Arm's capabilities in high-bandwidth interconnects and data center networking [16] - Revenue from collaborations with SoftBank is expected to continue growing, with a notable increase in licensing and design service income [17] - The cloud and networking market's contribution to revenue is projected to rise from approximately 10% to 15-20% [21] Forward-Looking Statements - Q3 guidance indicates revenue of approximately $1.225 billion, with royalty growth of 20% and licensing growth of 25-30% [25] - The "AI Everywhere" strategy will continue to expand across cloud, edge, and endpoint devices, with a focus on R&D investments in subsystems and complete SoC products [26][27] - The strategic focus remains on leveraging AI-driven demand for computing power and energy constraints as significant opportunities for Arm [29]

Core Insights - AI is identified as a new driving force for the future of the semiconductor industry, transitioning from traditional computing to AI applications, which are still in the foundational stage but will diversify significantly in the coming years [2][3] - The shift towards AI applications will challenge traditional chip design economies of scale, necessitating new approaches such as Chiplet architecture to manage development costs and enhance market flexibility [3] - Advanced packaging technologies are becoming critical for performance enhancement, with a focus on system design as a key area for future development in the semiconductor sector [3] Group 1 - AI is redefining the meaning of Moore's Law, moving from centralized data centers to edge computing and AIoT applications, which will include smart cars, robots, smart homes, and smart cities [2] - The cost of designing advanced chips, such as TSMC's products below 5nm, can reach approximately $2 billion, making it unfeasible for companies to invest heavily without guaranteed sales [3] - The Chiplet concept allows for modular design, enabling the reuse of high-performance modules across various products, thus distributing development costs and increasing market adaptability [3] Group 2 - The semiconductor industry is approaching physical limits of Moore's Law, with the pace of process miniaturization slowing down, which may challenge Taiwan's leading position in wafer foundry and packaging [3] - Advanced packaging technologies like CoWoS and InFO are becoming essential for improving chip integration efficiency, shifting the focus from merely cost control to performance enhancement [3] - System design is emphasized as a crucial area for future focus, as it will ultimately dictate the direction of industry development [3]

Digital Infrastructure Market Overview - The Digital Infrastructure Market is projected to grow from USD 360 billion in 2025 to USD 1.06 trillion by 2030, reflecting a CAGR of 24.10% driven by cloud adoption, edge computing expansion, and enterprise demand for advanced solutions [1][2] Key Trends in the Digital Infrastructure Market - **Expansion of Hyperscale and Edge Data Centers**: The growth of hyperscale and edge data centers is crucial as organizations manage increasing data volumes and latency-sensitive applications, enhancing performance for real-time workloads [3] - **Acceleration of Cloud, Hybrid, and Sovereign Cloud Adoption**: Enterprises are increasingly adopting public, private, and hybrid cloud models, with a notable rise in demand for sovereign cloud due to regional data residency laws [4] - **Rising Demand for Bandwidth, Connectivity, and Low Latency**: The expansion of 5G networks and IoT ecosystems emphasizes the need for infrastructure that supports high-speed data transmission and low latency, making connectivity a critical component [6] - **Regional Momentum and Sector Diversification**: North America remains strong, while the Asia-Pacific region is emerging as a growth engine due to industrialization and government support, with investments from various sectors like healthcare and manufacturing [7] Segmentation of the Digital Infrastructure Market - The market is segmented by deployment model (On-Premise, Colocation, Public Cloud IaaS, Hybrid, Edge), infrastructure layer (Data Center Facilities, Network Connectivity, Cloud Compute and Storage), end-user enterprise size (SMEs, Large Enterprises), end-user vertical (IT and Telecom, BFSI, Retail, Manufacturing, Healthcare, Government, Energy, Media), and geography [10] Key Players in the Digital Infrastructure Market - Major players include Amazon Web Services (AWS), Microsoft Corporation, Google Cloud Platform (GCP), Alibaba Cloud, and Huawei Cloud, each offering a range of cloud computing and infrastructure solutions [12] Conclusion - The Digital Infrastructure Market is poised for sustained growth driven by enterprise demand and regional policy support, making insights from industry reports essential for strategic decision-making [11]

Financial Data and Key Metrics Changes - In Fiscal Q4, the company reported revenues of $11.3 billion and Non-GAAP earnings per share of $3, both exceeding the high end of guidance [4] - Fiscal 2025 Non-GAAP revenues reached $44 billion, up 13% year-over-year, with record QCT annual revenues of $38.4 billion, reflecting a 16% year-over-year increase [4][16] - The company generated record free cash flow of $12.8 billion and returned nearly 100% to stockholders through repurchases and dividends [16] Business Line Data and Key Metrics Changes - QCT revenues were $9.8 billion, up 9% sequentially, driven by strong demand for Snapdragon-powered premium-tier Android handsets and automotive solutions [4][14] - QCT handset revenues increased by 14% year-over-year to $7 billion, reflecting increased demand for premium Android handsets powered by the Snapdragon 8 Elite Gen 5 platform [14] - QCT IoT revenues grew 7% year-over-year to $1.8 billion, driven by strength across industrial and networking products [15] - Automotive revenues surpassed $1 billion for the first time in a quarter, delivering 17% year-over-year growth [15] Market Data and Key Metrics Changes - The company noted strong end customer demand for Snapdragon-powered premium-tier Android handsets and continued traction in automotive and IoT markets [4][5] - The Snapdragon Insiders community has grown to over 20 million members worldwide, indicating increased brand visibility [6] - The company debuted at 39 on the Interbrand Top 100 Global Brands list for 2025, reflecting the strength of the Snapdragon brand [6] Company Strategy and Development Direction - The company is focused on expanding its presence in the data center market, with plans to provide updates on its roadmap and performance in early 2026 [12][34] - The company aims to achieve its $22 billion fiscal 2029 revenue target across automotive and IoT, with significant growth expected in both sectors [18][19] - The company is pursuing opportunities in AI, robotics, and next-generation ADAS, positioning itself as a leader in edge AI solutions [12][19] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in achieving long-term revenue commitments and highlighted the strong performance in fiscal 2025 [5][16] - The company anticipates a strong first fiscal quarter with revenues expected in the range of $11.8 billion to $12.6 billion [17] - Management acknowledged potential challenges in the handset market but emphasized the ongoing momentum in the premium tier segment [30][38] Other Important Information - The company completed its acquisition of Arduino, enhancing its IoT development ecosystem [10] - A non-cash charge of $5.7 billion was recorded in Q4 due to the enactment of new tax legislation, impacting GAAP results but excluded from Non-GAAP metrics [15] Q&A Session Summary Question: Insights on the data center business and AI200/250 specs - Management highlighted the competitive, power-efficient CPU as a strategic asset for data centers and expressed excitement about the upcoming AI200 and AI250 products [25][26] Question: Concerns about share with primary Android customer - Management reassured that the Snapdragon premium tier continues to expand, maintaining a strong relationship with Samsung and projecting a baseline share of 75% for future models [30][31] Question: Revenue implications for Humane engagement - Management indicated that data center products are expected to start generating material revenue in fiscal 2027, with the Humane engagement potentially accelerating this timeline [34] Question: Handset market outlook and share changes - Management noted strong business momentum and expected low teens sequential revenue growth in the handset segment, primarily driven by Android premium tier shipments [38][41] Question: Update on negotiations with Huawei for a license - Management stated that discussions with Huawei are ongoing, with no substantive updates available at this time [42] Question: Insights on Snapdragon Android strength in September and December - Management confirmed that the growth in handsets was primarily driven by the premium tier and positive consumer reactions to new device launches [46]

Core Insights - Akamai is experiencing a surge in demand for its Inference Cloud platform, indicating a shift from experimentation to execution in AI applications across various industries [2][3] - The platform is designed to operationalize AI in real-world environments, facilitating use cases in video, personalization, customer support, and consumer products [3][4] Company Overview - Akamai is a cybersecurity and cloud computing company that provides solutions to power and protect businesses online [2][6] - The company leverages its expertise in globally distributed architectures and NVIDIA Blackwell AI infrastructure to enhance AI processing capabilities [4][6] Product Features - Akamai Inference Cloud enables low-latency, real-time edge AI processing, which is crucial for applications like live sports production and personalized video streaming [4][5] - The platform supports advanced functionalities such as transcoding 8K multi-camera feeds and generating AI-powered play summaries in real-time [4][5] Use Cases - Current applications of Akamai Inference Cloud include live sports production, personalized live streams, recommendation engines, assistive agents, AI-powered fit rooms, and AI-powered toys [5] - Companies like Monks and Harmonic are utilizing the platform to enhance video content delivery and user experiences [4][5]

Core Insights - One Stop Systems, Inc. reported a consolidated revenue increase of 37% year-over-year to $18.8 million for the third quarter of 2025, driven by strong performance in both OSS and Bressner segments [1][4] - The company raised its full-year consolidated revenue guidance for 2025 to a range of $63 million to $65 million, up from the previous guidance of $59 million to $61 million [3][17] Financial Performance - OSS segment revenue increased by 43.4% to $9.3 million, with a gross margin of 45.6% for the third quarter of 2025 [1][5] - Bressner segment revenue rose by 31.1% compared to the same period in 2024, attributed to higher demand across multiple industrial end markets [6] - Consolidated gross margin improved to 35.7% for the third quarter of 2025, compared to (12.5)% in the prior year, significantly impacted by a previous inventory charge [7] - The company reported a net income of $0.3 million, or $0.01 per share, compared to a net loss of $6.8 million, or $(0.32) per share, in the prior year [9][10] Strategic Initiatives - The company has focused on strengthening its sales pipeline, investing in R&D, and pursuing platform opportunities to create a more predictable and scalable business model since its repositioning in 2023 [2] - A registered direct offering completed post-third quarter raised approximately $12.5 million in gross proceeds, enhancing the company's financial position [11] Market Outlook - The company aims to capitalize on favorable demand across commercial and defense markets, with expectations of achieving positive annual EBITDA for 2025 [3][18] - The strategic plan targets integrated solutions within the OSS segment, aiming to establish the company as a platform incumbent on large, multi-year programs [16]

Core Insights - ADTRAN Holdings, Inc. reported mixed results for Q3 2025, with revenues exceeding estimates but net income falling short [1][10] - The company experienced year-over-year revenue growth driven by strong demand across its segments, although macroeconomic challenges remain a concern [1] Financial Performance - The net loss for Q3 2025 was $10.3 million, or 12 cents per share, an improvement from a net loss of $33.3 million, or 38 cents per share, in the same quarter last year [2] - Non-GAAP earnings for the quarter were $3.7 million, or 5 cents per share, compared to a net loss of $5.3 million, or 7 cents per share, a year ago, missing the consensus estimate by one cent [3] Revenue Details - Total revenues for the quarter increased to $279.4 million from $227.7 million in the prior-year quarter, surpassing the consensus estimate of $275 million [4][10] - Network Solutions generated $232.5 million in revenues, up from $181.5 million in the prior-year quarter, while Services and Support revenues rose to $46.9 million from $46.2 million [5] Operational Metrics - Non-GAAP gross margin improved to 42.1% from 41.1% year-over-year, and non-GAAP operating income surged to $15.1 million from $0.5 million, reflecting respective margins of 5.4% and 0.2% [6] Cash Flow & Liquidity - In the first nine months of 2025, ADTRAN generated $87.5 million in cash from operating activities, down from $101.1 million in the prior-year period [7] - As of September 30, 2025, the company had $93.7 million in cash and cash equivalents, compared to $25.9 million in non-current lease obligations [7] Future Outlook - For Q4 2025, ADTRAN expects revenues to be in the range of $275-$285 million, with a projected non-GAAP operating margin between 3.5% and 7.5% [8][10]

Group 1 - Nokia's shares increased by 23% following a $1 billion partnership announcement with Nvidia [1] - Nvidia will invest $1 billion in Nokia for a 2.9% equity stake, involving the issuance of 166,389,351 new shares at $6.01 each [3] - The investment will enable Nokia to enhance its advanced connectivity solutions for the AI industry, integrating its 5G and upcoming 6G software with Nvidia's technology [4] Group 2 - The collaboration aims to support the delivery of AI applications through mobile devices, addressing the anticipated surge in mobile traffic [5] - Nokia's CEO, Justin Hotard, emphasizes the goal of making AI capabilities accessible through edge computing, aiming to "put an AI data center into everyone's pocket" [6][8]

Filed with the U.S. Securities and Exchange Commission on October 24, 2025. Registration No. [*] UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form F-1 REGISTRATION STATEMENT UNDER THE SECURITIES ACT OF 1933 GIGABIT INC. (Exact Name of Registrant as Specified in its Charter) (State or Other Jurisdiction of Incorporation or Organization) (Primary Standard Industrial Cayman Islands 7370 Not Applicable (I.R.S. Employer Identification No.) Suite 13-01, 13-02 and 13-04, Level 13, Menara ...

Core Technology & Solution - The company transforms video into actionable operational insights by leveraging camera feeds and point-of-sales data, offering over 100 pre-built templates [1] - The company provides solutions to make any camera smarter, utilizing edge devices manufactured by Supermicro, which bring data center server power to retail locations and warehouses with AI acceleration [2] - The company emphasizes the use of physical AI or multimodal AI, specifically computer vision, to address retail challenges and improve insights by combining video data with point-of-sales information [3] Retail Applications & Benefits - In drive-through scenarios, the company's solution analyzes video to track customer journeys, identify bottlenecks, and integrate point-of-sales data to understand wait times in the context of order size [4][5] - The company's technology enhances order accuracy in the food sector by comparing video data with order details before fulfillment [5] - The company's solution aids in loss prevention by using vision context to verify rebates and fund transactions, reducing exceptions [5][6] Edge Computing & Deployment - The company offers readily available solutions that can be deployed through system integrators, emphasizing edge processing for computer vision use cases due to compliance (GDPR, California regulations) and bandwidth concerns [7][8] - Retailers seek complete solutions that offer a return on investment (ROI) and a favorable total cost of ownership (TCO) when investing in technologies like this [9] Future Trends & Flexibility - The company highlights the importance of flexible platforms for physical and multimodal AI that enable experimentation and efficiency improvements through low-code approaches [10]