Join experts from Rambus and PUF-based security solutions provider ICTK to learn how Rambus Root of Trust and Secure Authentication solutions combined with ICTK’s PUF technology can provide a highly robust hardware foundation to protect data, devices, and cloud. Our session will provide an overview of ICTK and its PUF technology, discuss the features and benefits of Root of Trust and Secure Authentication solutions, share potential use cases, and conclude with a Q&A session.
Webinars
Verifying the next generation High Bandwidth Memory controllers for AI and HPC applications
High Bandwidth Memory (HBM) has revolutionized AI, machine learning, and High-Performance Computing by significantly increasing data transfer speeds and alleviating performance bottlenecks. The introduction of next-generation HBM4 is especially transformative, enabling faster training and execution of complex AI models. JEDEC has announced that the HBM4 specification is nearing finalization. In this webinar, you will learn how Siemens’s scalable and customizable Avery HBM Verification IP helps companies like Rambus verify their industry-leading HBM4 Controller IP through rigorous testing to ensure reliability and performance.
Creating a Secure Infrastructure for Advanced AI Workloads
Bart Stevens, Senior Director of Product Marketing for Security IP, discusses the security challenges of AI inference processing in both cloud-based data centers and edge devices. He emphasizes the need for robust security measures to protect valuable AI models and sensitive data across various deployment environments. He covers essential cryptographic principles, confidential computing, and key security mechanisms such as data at rest, in use, and in motion protection. Bart highlights the differences in security requirements between data centers and edge devices due to operational constraints and threat models.
Security Challenges in a World of AI Everywhere
Scott Best, Senior Director of Anti-Tamper Technology at Rambus, discusses the security challenges associated with AI chips and their growing deployment at the edge. Best highlights the similarities between AI chips and FPGAs, particularly in their vulnerability to attacks on valuable firmware assets, such as neural net models and RTL. He explores the importance of securing firmware from tampering and theft, emphasizing the need for encryption and authenticity verification. Best also delves into the rising threats posed by side-channel attacks like Differential Power Analysis (DPA) and offers novel solutions such as key hash chaining to protect firmware while maintaining boot efficiency. He concludes by discussing emerging risks, including neural net model extraction, and suggests tailored countermeasures to safeguard AI architectures from these attacks.
From Training to Inference: HBM, GDDR & LPDDR Memory
Nidish Kamath, director of product management for Rambus Memory Controller IP, discusses the company’s HBM, GDDR, and LPDDR solutions that address AI training and inference workload requirements. Nidish explains the differences between AI training and inference, highlighting the unique compute and memory needs of each. He will delve into the architectural innovations of HBM, including its 2.5D and 3D memory architecture, and the evolution of HBM memory to meet AI demands. Additionally, Nidish will cover advancements in GDDR and LPDDR memory technologies, emphasizing their roles in AI inference and mobile devices.
Navigating the Dynamics of IP Licensing for Data Center & AI
Raj Uppala, Senior Director of Marketing and Partnerships at Rambus, explores the complexities of IP licensing for emerging data center and AI applications. He discusses the growing demand for specialized IP components such as memory controllers, security solutions, and high-performance interfaces driven by the rise of AI accelerators and SoCs. Raj highlights the key factors customers consider when evaluating IP solutions, such as time-to-market, scalability, interoperability, and cost-effectiveness. The presentation underscores the importance of choosing the right IP solutions to accelerate innovation and streamline development in high-performance computing and AI infrastructure.
