In this conversation, Jay Goldberg interviews Amir Panoush, CEO of CEVA, discussing the evolution of the company, its role in the semiconductor industry, and the importance of digital signal processing (DSP) technology. They explore Siva's market segments, customer base, and the company's value proposition compared to competitors like ARM. The discussion also covers the integration of AI at the edge, new customer partnerships, and the emerging satellite market. Amir shares insights on management strategies in an IP-focused company and outlines future directions for CEVA.

In this episode, Ben Bajarin and Jay Goldberg are joined by special guest Michelle Johnston, CEO of Intel products.  They discuss the new culture shift at Intel, how Intel can use this new approach to compete and innovate in AI, how to invigorate x86 and Intel Architecture, and the opportunity for both product and foundry in the chiplet era. 

In this episode, Ben Bajarin and Jay Goldberg engage with Simi Sherman and Chaim Eisenberg from Chips and Wafers to explore the intricacies of the semiconductor industry. They discuss the importance of both qualitative and quantitative analysis in understanding market trends, the challenges of data collection, and the unique insights their company provides. The conversation delves into the competitive landscape of ASICs versus GPUs, the significance of tracking various data points, and how this information can be leveraged for predictive analysis in investments. In this conversation, Simi Sherman and Ben Bajarin delve into the intricacies of investment data, emphasizing the importance of using the right data points for informed decision-making. They discuss specific company examples, the predictive power of data, and the evolving landscape of the semiconductor industry, particularly the shift towards disaggregated designs and chiplets. The conversation highlights the gap between investor expectations and company performance, and concludes with insights into how analysts can leverage data to build a clearer picture of future trends.

In this episode, Ben Bajarin and Jay Goldberg discuss the recent GTC event, highlighting its shift from graphics technology to a focus on AI and robotics. They share their emotional responses to the keynote, the crowded atmosphere, and their disillusionment with the lack of new AI demos. The conversation delves into Jensen Huang's defensive stance during the keynote, Nvidia's identity crisis, and the company's significant investments in R&D. They conclude by reflecting on the growing influence of GTC and its importance in the tech industry.

In this conversation, Jay Goldberg and Austin Lyons delve into the emergence of Deep Seek, an AI lab that has gained attention for its innovative models and unique approach to AI development. They discuss the origins of Deep Seek, its self-funded nature, and the implications of its advancements in the context of geopolitical constraints. The conversation highlights the lab's offerings, including its reasoning models and mixture of experts, and explores how Deep Seek has managed to innovate despite hardware limitations. The discussion also touches on the future of AI scaling and the ongoing debate about the effectiveness of simply increasing computational resources. In this conversation, Austin Lyons and Jay Goldberg discuss the advancements in AI, particularly focusing on Deep Seek's contributions to scaling AI models, improving training efficiency, and the implications of these innovations on the market dynamics. They explore how Deep Seek has demonstrated that there are still many avenues for enhancing AI capabilities, despite the prevailing belief that the field has plateaued. The discussion also delves into the technical aspects of training and inference efficiency, the challenges faced by AI labs, and the importance of hardware optimization. Ultimately, they conclude that while Deep Seek is making significant strides, it does not pose a direct threat to established players like OpenAI.

In this episode, Ben Bajarin and Jay Goldberg discuss the recent Mobile World Congress (MWC) in Barcelona, reflecting on its relevance in the current tech landscape, particularly in the telecom and semiconductor industries. They explore the shift in focus from traditional mobile technologies to AI and data centers, the challenges faced by telecom operators, and the evolving role of software in the industry. The conversation also touches on Qualcomm's positioning, the dynamics of network processors, and humorous observations about the latest innovations, including humanoid robots and AI avatars. Finally, they tease an upcoming discussion about Apple's modem technology and its implications for the market. In this conversation, Ben Bajarin and Jay Goldberg discuss the recent earnings reports of Marvell and Broadcom, analyzing the competitive dynamics in the semiconductor market. They delve into Marvell's challenges with customer relationships and market positioning, contrasting it with Broadcom's strategic advantages. The discussion also touches on the implications of Apple's product updates and the overall market sentiment regarding capital expenditures and technology investments.

In this episode, Ben Bajarin and Jay Goldberg discuss Nvidia's recent earnings report, market reactions, and the implications for the future of AI and the company's stock performance. They analyze the current state of Nvidia's business, including product segmentation, enterprise demand, and geopolitical factors affecting the market. The conversation also touches on the volatility of Nvidia's stock and the behavior of retail investors in the context of AI advancements.

In this episode, Ben Bajarin and Jay Goldberg discuss Apple's recent announcement of their C1 modem and the new iPhone 16E. They explore the implications of Apple's entry into modem technology, the positioning of the iPhone 16E in the market, and the potential impact on Qualcomm. The conversation also delves into the integration of modem technology within Apple's ecosystem and the future of 5G in Apple's products. In this conversation, Jay Goldberg and Ben Bajarin discuss the strategic moves of major tech companies like Apple and Broadcom, the ongoing challenges faced by Intel, and the implications of government intervention in the semiconductor industry. They also delve into the current state of the AI market, particularly focusing on Microsoft and Nvidia, and speculate on future earnings and market dynamics.

In this episode, Ben Bajarin and Jay Goldberg delve into the ongoing debate between ASICs and GPUs in the AI compute landscape, discussing the implications for companies like NVIDIA and AMD. They explore the role of custom silicon in hyperscalers' strategies and the potential for GPUs to regain market share. The conversation then shifts to the often-overlooked world of analog semiconductors, highlighting their significance in various applications, including automotive and robotics. The hosts emphasize the need for a deeper understanding of analog technology as it becomes increasingly relevant in the evolving tech landscape.

In this episode, Ben Bajarin and Jay Goldberg discuss the recent earnings reports of Qualcomm, AMD, and Arm, analyzing the surprising market reactions and investor expectations. They delve into Qualcomm's strong quarter but puzzling stock performance, AMD's ongoing struggle to establish itself in the AI market, and Arm's critical yet underappreciated role in the AI ecosystem. The conversation highlights the shifting dynamics in technology investments and the challenges companies face in meeting heightened investor expectations. In this conversation, Ben Bajarin and Jay Goldberg discuss the complexities surrounding Arm's intellectual property (IP) and its market dynamics, the confusion in revenue metrics, and the expectations investors have regarding growth. They delve into the trends in capital expenditures (CapEx) among major tech companies and the dual nature of cloud revenue, distinguishing between traditional cloud services and emerging AI workloads. The discussion also highlights the critical role NVIDIA plays in the AI market and the challenges it faces in meeting demand.