Supermicro has spent the past three years riding the AI wave in Silicon Valley but before the recent allegations involving a co-founder smuggling Nvidia chips, it previously ran afoul of export-control regulations.  The hardware manufacturer’s co-founder, Yih-Shyan “Wally” Liaw, was charged on Thursday with conspiring to smuggle about $2.5 billion worth of highly coveted Nvidia GPUs in servers to China. Prosecutors claim that Liaw, along with Supermicro’s Taiwan general manager Ruei-Tsang “Steven” Chang, an ...

The company presented a five-year objective to grow to $2.5 billion+ in revenue, supported by a stated long-term framework that includes:Management said its total addressable market has expanded from a previously cited ~$6.5 billion to “almost $18 billion” by adding pro distribution and industrial MRO opportunities. Hillman characterized its current mix as about 70% DIY and 30% pro. JMA said Hillman is already serving pro customers today—particularly through retail partners—but plans to pursue deeper penetr ...

To keep it under wraps, the defendants allegedly staged thousands of fake dummy servers—actual, physical replicas of Supermicro’s actual products, authorities claim—at the warehouse where the Southeast Asian company was supposed to be storing its purchases. In reality, the real servers were long gone and had allegedly been shipped to China already.To keep the clandestine scheme from raising red flags with Supermicro’s compliance team, the defendants and the Southeast Asian company executives would fake docu ...

Core Viewpoint - The arrest of Yih-Shyan "Wally" Liaw, a key executive at Supermicro, has raised significant concerns regarding the company's compliance with U.S. export control laws, particularly related to the alleged diversion of AI servers to China, leading to a 12% drop in Supermicro's stock price in after-hours trading [1][2]. Group 1: Allegations and Legal Proceedings - Liaw, along with two co-conspirators, is charged with secretly diverting billions in Supermicro AI servers to China, violating U.S. export control laws [2][10]. - The alleged conspiracy involved creating a pipeline to sell Supermicro servers, equipped with valuable GPU chips, to Chinese buyers through a Southeast Asian intermediary [3][4]. - The operation reportedly involved fake documentation and dummy servers to mislead Supermicro's compliance team and U.S. authorities [4][6]. Group 2: Company Response and Compliance Issues - Supermicro has stated it is not a defendant in the indictment and is cooperating with the investigation, while placing Liaw and Chang on administrative leave [8][10]. - The company maintains a robust compliance program and emphasizes its commitment to adhering to U.S. export laws [8][10]. - The indictment highlights systemic compliance failures at Supermicro, raising concerns about governance and oversight within the company [11][20]. Group 3: Historical Context and Financial Implications - Supermicro has faced previous compliance issues, including a suspension of trading in 2018 due to accounting investigations, and has been under scrutiny for governance and transparency concerns [12][15]. - The company is a significant player in the $700 billion AI infrastructure market, with recent orders amounting to $13 billion for Nvidia products [18][19]. - The ongoing legal issues and compliance challenges may impact Supermicro's ability to attract new talent and maintain investor confidence [18].

Hillman Solutions (NasdaqGM:HLMN) 2026 Investor Day March 19, 2026 08:30 AM ET Company ParticipantsAaron Parker - Chief People OfficerBob Davis - EVP, North American OperationsBrett Hillman - EVP of SalesChris Martin - EVP, Commercial and IndustrialJames Daly - SVP, ProJon Michael Adinolfi - President and CEOLee Jagoda - Senior Managing DirectorMichael Koehler - VP of Investor Relations and TreasuryScott Moore - Divisional President of Robotics and Digital SolutionsConference Call ParticipantsAndrew Carter ...

Hillman Solutions Investor Day 2026 March 19, 2026 Cincinnati, OH #26673F Presentation of Non-GAAP Financial Measures #102F93 #279A56 #239FFF #4EA72E #0E2841 text #279A56 #4EA72E text Forward Looking Statements This presentation contains certain forward-looking statements, including, but not limited to, certain plans, expectations, goals, projections, and statements, which are not historical facts and are subject to numerous assumptions, risks, and uncertainties. Statements that do not describe historical o ...

Targets $2.5 billion in net sales by 2030, driven by core business growth, category expansion, and Pro channel penetration Presents 5-year financial objectives including 8-12% revenue CAGR, low-double-digit Adjusted EBITDA CAGR, and high-teen ROIC Provides blueprint to pursue $18+ billion market opportunity across retail, Pro distribution, and industrial MRO channels Affirms 2026 guidance of $1.6 billion to $1.7 billion in net sales, $275 million to $285 million in Adjusted EBITDA, and $100 million to $120 ...

Core Viewpoint - Hitachi has introduced an 800-volt direct current (800 VDC) power supply simulation integrated with the NVIDIA Omniverse DSX Blueprint, aimed at accelerating the development of gigawatt-scale AI factories [1][4]. Group 1: Technology and Innovation - The 3D simulation model of Hitachi's 800 VDC power and control architecture allows data center developers and utilities to design, simulate, and deploy AI factories more efficiently [2][3]. - The simulation replicates power behavior across the entire electrical chain, from the utility grid to the data center rack, enhancing confidence in the design process [3]. - Hitachi's solution is designed to manage 15 times more power than legacy systems, facilitating greater compute density with lower electricity usage in a smaller footprint [6]. Group 2: Collaboration and Market Demand - The development is part of Hitachi's ongoing collaboration with NVIDIA to create efficient and reliable DC power delivery systems, addressing the rapidly growing electricity demand from AI workloads [4][7]. - The integration of Hitachi's power solution with NVIDIA's Omniverse DSX Blueprint enables developers to model the full electrical chain, which is crucial for the deployment of energy-efficient AI infrastructure [7]. Group 3: Features and Benefits - The design includes predictive management capabilities, allowing for predictive and prescriptive operations and maintenance from the data center to the substation and grid [5]. - The power solution ensures stable and consistent power delivery to 800 VDC racks while maintaining grid compliance across various operating scenarios [5]. - Hitachi's advanced power electronics and digital control algorithms are utilized to analyze and smooth power quality disturbances caused by fluctuating AI workloads [5].

Core Viewpoint - Keysight Technologies has launched the Keysight AI Inference Builder, an emulation and analytics platform aimed at validating and optimizing AI inference infrastructure at scale, with a live demonstration at NVIDIA GTC [1][2][3]. Company Overview - Keysight Technologies, Inc. (NYSE: KEYS) is focused on delivering market-leading design, emulation, and test solutions to accelerate innovation across various sectors including communications, industrial automation, and aerospace [6]. Product Features - The KAI Inference Builder is designed to validate inference-optimized AI infrastructure at real concurrency, scale, and workload diversity, addressing the challenges of dynamic inference behavior [2][3]. - It recreates realistic inference workload patterns and models industry-specific usage patterns, providing a scalable solution for AI cloud providers, hardware vendors, and application developers [4]. - Key benefits include: - Integration with NVIDIA DSX Air for realistic workload generation [4]. - Subsystem isolation to identify performance bottlenecks [4]. - End-to-end validation of inference workflows to reduce costly rework [4]. - Industry-specific benchmarking for various verticals like finance and healthcare [4]. Industry Context - The shift in the AI industry from training large language models to deploying them has made optimizing inference crucial for return on investment (ROI) [3]. - Traditional testing methods are inadequate for accurately reproducing the latency-sensitive workload behavior of AI inferencing [3]. Strategic Importance - The integration of KAI Inference Builder with NVIDIA DSX Air is positioned as essential for pre-deployment validation, which has become a mission-critical requirement as AI data centers scale [5].

Core Insights - Forgent Power Solutions, Inc. reported significant growth in its fiscal second quarter 2026, with revenues reaching $296 million, a 69% increase year-over-year, driven by strong demand from data center and grid customers [2][4] - The company experienced a remarkable 268% year-over-year increase in bookings, resulting in a book-to-bill ratio of 2.6x, indicating robust order growth and a backlog of $1.5 billion, which is up 100% year-over-year [2][4][5] - Adjusted net income for the quarter was $36 million, a 66% increase from the previous year, while adjusted EBITDA rose to $60 million, reflecting a 51% year-over-year growth [4][5][6] Financial Performance - Revenues for the fiscal second quarter were $296 million, up from $175 million in the same quarter last year, marking a 69% increase [2][8] - Adjusted net income was reported at $36 million, a 66% increase compared to $22 million in the prior year [4][5] - Adjusted EBITDA reached $60 million, up 51% from $40 million year-over-year [4][6] Order and Backlog Growth - Bookings for the quarter totaled $762 million, representing a 268% increase year-over-year [2][4] - The backlog stood at $1.5 billion, reflecting a 100% increase compared to the same quarter last year and a 45% increase from the previous quarter [2][4] Guidance for Fiscal 2026 - For the full fiscal year 2026, the company expects revenues to be in the range of $1,275 to $1,325 million, representing a 73% year-over-year growth at the midpoint [4][9] - Adjusted EBITDA is projected to be between $300 to $310 million, indicating an 80% year-over-year growth at the midpoint [4][9] - Adjusted net income is anticipated to be in the range of $190 to $200 million, reflecting a 120% year-over-year growth at the midpoint [4][9] Operational Insights - The company is accelerating hiring to meet increased production demands, with expectations of margin expansion in the upcoming quarters as production volumes increase [7] - Capital expenditures for the quarter were $26 million, primarily related to capacity expansion, which is expected to support up to $5 billion in annual revenues once completed [7]