Investor Presentation Fourth Quarter and Full Year 2025 Results Forward-Looking Statements and Other Matters This presentation includes forward-looking statements within the meaning of the "Safe-Harbor" provisions of the Private Securities Litigation Reform Act of 1995. These statements include, but are not limited to, statements related to our expectations regarding the performance of our business, liquidity and capital ratios, and other non-historical statements, including statements in the "2026 Strategi ...

Fo u r t h Q u a r t e r 2 0 2 5 Since 1890 Disclosure Statement This presentation includes forward-looking statements. These statements include descriptions of management's plans, objectives or goals for future operations, products or services, forecast of financial or other performance measures and statements about Banner's general outlook for economic and other conditions. Additional forward-looking statements may be made in the question-and-answer period following the presentation. These forward- lookin ...

A discussion of certain risks and uncertainties affecting the Corporation, and some of the factors that could cause the Corporation's actual results to differ materially from those described in the forward-looking statements, can be found in the sections entitled "Risk Factors" and "Management's Discussion and Analysis of Financial Condition and Results of Operations" in the Corporation's Annual Report on Form 10-K for the year ended December 31, 2024, Quarterly Reports on Form 10-Q for the quarters ending ...

Exhibit 99.2 2025 4th Quarter Financial Results This presentation contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements reflect the current views of the management of Equity Bancshares, Inc. ("Equity," "we," "us," "our," "the company") with respect to, among other things, future events, the expected benefits of the Frontier Holdings, LLC ("Frontier ...

FOURTH QUARTER 2025 January 22, 2026 ©2026 Live Oak Bancshares. All rights reserved. FORWARD LOOKING STATEMENTS Information in this presentation may contain "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These statements generally relate to our financial condition, results of operations, plans, objectives, future performance or business and usually can be identified by the use of forward-looking terminology such as "may," "will," "would," "should," "could," "expect ...

2025 Fourth Quarter Earnings Presentation January 22, 2026 Forward–looking statements Certain statements contained in this Presentation that are not historical in nature may be considered forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, without limitation, statements regarding the Company's future plans, results, strategies, and expectations, including expectations around changing economic markets. These statemen ...

Beyond ordinary banking Important Information Investor Presentation H o r i z o n B a n c o r p , I n c . ( N A S D A Q : H B N C ) Ye a r E n d e d D e c e m b e r 3 1 , 2 0 2 5 J a n u a r y 2 2 , 2 0 2 6 Forward-Looking Statements This press release may contain forward–looking statements regarding the financial performance, business prospects, growth and operating strategies of Horizon Bancorp, Inc. and its affiliates (collectively, "Horizon"). For these statements, Horizon claims the protection of the s ...

This slide presentation and certain of our other filings with the Securities and Exchange Commission contain statements that constitute "forward-looking statements" within the meaning of, and subject to the protections of, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. All statements other than statements of historical fact are forward-looking statements. You can identify these forward-looking statements through Pinnacle's use of wo ...

CACI International Inc Q2 FY26 Earnings Conference Call January 22, 2026 Forward-looking statements There are statements made herein that do not address historical facts and, therefore, could be interpreted to be forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such statements are subject to risk factors that could cause actual results to be materially different from anticipated results. These risk factors include, but are not limited to, the follow ...

Summary of Key Points from the Conference Call Industry and Company Overview - The discussion revolves around **Agentic AI** frameworks, which enhance traditional Large Language Models (LLMs) by integrating decision-making orchestrators and external tools, transforming them into autonomous problem solvers [2][4]. Core Insights and Arguments - **Agentic AI Workloads**: The paper profiles five representative agentic AI workloads: **Haystack RAG**, **Toolformer**, **ChemCrow**, **LangChain**, and **SWE-Agent**. These workloads are analyzed for latency, throughput, and energy metrics, highlighting the significant role of CPUs in these metrics compared to GPUs [3][10][20]. - **Latency Contributions**: Tool processing on CPUs can account for up to **90.6%** of total latency in agentic workloads, indicating a need for joint CPU-GPU optimization rather than focusing solely on GPU improvements [10][34]. - **Throughput Bottlenecks**: Throughput is bottlenecked by both CPU factors (coherence, synchronization, core over-subscription) and GPU factors (memory capacity and bandwidth). This dual limitation affects the performance of agentic AI systems [10][45]. - **Energy Consumption**: At large batch sizes, CPU dynamic energy consumption can reach up to **44%** of total dynamic energy, emphasizing the inefficiency of CPU parallelism compared to GPU [10][49]. Important but Overlooked Content - **Optimizations Proposed**: The paper introduces two key optimizations: 1. **CPU and GPU-Aware Micro-batching (CGAM)**: This method aims to improve performance by capping batch sizes and using micro-batching to optimize latency [11][50]. 2. **Mixed Agentic Workload Scheduling (MAWS)**: This approach adapts scheduling strategies for heterogeneous workloads, balancing CPU-heavy and LLM-heavy tasks to enhance overall efficiency [11][58]. - **Profiling Insights**: The profiling of agentic AI workloads reveals that tool processing, rather than LLM inference, is the primary contributor to latency, which is a critical insight for future optimizations [32][34]. - **Diverse Computational Patterns**: The selected workloads represent a variety of applications and computational strategies, showcasing the breadth of agentic AI systems and their real-world relevance [21][22]. Conclusion - The findings underscore the importance of a CPU-centric perspective in optimizing agentic AI frameworks, highlighting the need for comprehensive strategies that address both CPU and GPU limitations to enhance performance, efficiency, and scalability in AI applications [3][10][11].