Summary of Lattice Semiconductor Conference Call Company Overview - **Company**: Lattice Semiconductor (NasdaqGS: LSCC) - **Date of Conference**: March 04, 2026 - **Key Speakers**: Ford Tamer, Lorenzo Flores Key Points Industry and Market Position - Lattice Semiconductor operates in the semiconductor industry, focusing on FPGA (Field-Programmable Gate Array) technology, particularly in data center AI and physical AI applications [4][5] - The company aims to be a "companionship" to major chips like GPUs and AI accelerators, emphasizing collaboration rather than competition [6][7] Financial Performance - Revenue decreased from $730 million to $500 million in 2024, but the company has since recovered, with a target of 25% growth in 2026 compared to 2025 [4][5] - Inventory levels were successfully reduced from 6 months to 3 months by mid-2025, indicating improved operational efficiency [5] - Current consensus estimates for 2026 growth exceed the initial 25% target, reflecting strong market demand [5] Product and Technology Development - Lattice has transitioned from selling FPGAs to providing comprehensive solutions, including security, power management, and post-quantum cryptography (PQC) [10][36] - The company has established partnerships with major players like NVIDIA and NXP to enhance its product offerings and market reach [11][12] - The attach rate of FPGAs per server is expected to exceed 3, with average selling prices (ASPs) above $4, driven by increased demand for AI applications [17] Future Growth Opportunities - The company anticipates significant growth in physical AI applications, with projections suggesting that humanoid robots could become a larger market than data centers [20][21] - Lattice expects new product revenue to reach mid-20% of total revenue, with a growth rate of 60% year-on-year for new products [54][55] Supply Chain and Pricing Strategy - Lead times for products are extending due to high demand, but the company is managing this by working closely with customers to align orders with actual demand [38][42] - Lattice maintains a long-term pricing strategy, avoiding short-term price increases to ensure stable gross margins [43][50] Competitive Landscape - The company believes its focus on low to mid-range FPGAs positions it well against competitors who have been acquired by larger compute companies [27][28] - Lattice's diverse applications across various sectors reduce the risk of being replaced by ASICs (Application-Specific Integrated Circuits) [79][80] M&A Strategy - Lattice has engaged in small tuck-in acquisitions primarily for IP and software tools but emphasizes strong organic growth as its primary strategy [89][92] - The company is open to M&A opportunities that align with its vision but maintains a disciplined approach [91] Segment Breakdown - The industrial segment accounted for approximately $195 million of the $523 million total revenue last year, with expectations for growth in this area moving forward [103][104] - The company aims to develop a balanced revenue model with strong legs in comms and compute, industrial, and potential future solutions [105] Additional Insights - The company is focused on enhancing productivity through investments in infrastructure and engineering capabilities, which have led to a reduction in operational costs [92][100] - Lattice is committed to addressing the evolving needs of the market, particularly in security and AI applications, which are driving demand for its products [36][66]

Core Insights - Nvidia's robotics technology stack has attracted over 2 million developers since its launch, showcasing significant community engagement and ecosystem growth [1] - The new Nvidia Jetson Thor platform is designed specifically for physical AI and humanoid robots, enhancing compatibility with mainstream AI frameworks and generative AI models [1] - The Jetson series has evolved from a single computing module to a multi-dimensional system covering simulation, perception, and decision-making, reinforcing Nvidia's market position in industrial automation and service robotics [1] Summary by Categories Developer Engagement - Over 2 million developers are utilizing Nvidia's robotics technology stack, indicating a robust developer community [1] - The ecosystem has expanded since the launch of the Nvidia Jetson platform in 2014, involving over 150 hardware, software, and sensor partners [1] Product Development - The Nvidia Jetson Thor platform is highlighted as a new generation solution for physical AI and humanoid robots [1] - The platform integrates with Nvidia's full-stack software from cloud to edge, enhancing its functionality [1] Market Position - The release of the Thor platform is expected to further strengthen Nvidia's market position in sectors such as industrial automation and service robotics [1] - The Jetson series has transitioned to a comprehensive solution that supports the entire process from development to deployment [1]