At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
Found 3637 Results
DDR5 Multiplexed Registering Clock Driver (MRCD) and Multiplexed Data Buffer (MDB)
https://www.rambus.com/memory-interface-chips/ddr5-dimm-chipset/ddr5-mrcd-and-mdb/DDR5 Multiplexed Registering Clock Driver (MRCD) and Multiplexed Data Buffer (MDB) Delivering industry-leading memory bandwidth and capacity Contact Us The Rambus DDR5 Multiplexed Registering Clock Driver (MRCD) and Multiplexed Data Buffer (MDB) enable industry-standard DDR5 Multiplexed Rank DIMMs (MRDIMMs) operating at data rates up to 12,800 MT/s. Description Part Number Product Brief Applications 12800 MT/s […]
DDR5 RCD 8000 MT/s Product Brief
https://go.rambus.com/ddr5-rcd-8000-product-brief#new_tabThe Rambus Registering Clock Driver (RCD) RCD5 enables DDR5 Registered DIMMs (RDIMMs) operating up to 8000 MT/s.
Rambus Unveils Industry-First Complete Chipsets for Next-Generation DDR5 MRDIMMs and RDIMMs to Deliver Breakthrough Performance for Data Center and AI
https://www.rambus.com/rambus-unveils-industry-first-complete-chipsets-for-next-generation-ddr5-mrdimms-and-rdimms-to-deliver-breakthrough-performance-for-data-center-and-ai/Highlights: Introduces industry’s first Gen5 DDR5 RCD for RDIMMs at 8,000 MT/s, MRCD and MDB chips for next-generation MRDIMMs at 12,800 MT/s, and a second-generation server PMIC to support both Incorporates advanced clocking, control, and power management features needed for higher capacity and bandwidth modules operating at 8000 MT/s and above Feeds insatiable demand for […]
Verifying the next generation High Bandwidth Memory controllers for AI and HPC applications
https://event.on24.com/wcc/r/4719714/D55D39DCED7CBE83737212F4626F4C2E#new_tabHigh 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 […]
Silicon IP for Automotive Solution Brief
https://go.rambus.com/silicon-ip-for-automotive-solution-brief#new_tabRambus Silicon IP solutions enable customers to navigate the delicate balance between achieving new levels of performance and automation, while meeting the safety and security requirements unique to the automotive industry.
Rambus Wins Automotive Cybersecurity Innovation of the Year at 2024 AutoTech Breakthrough Awards
https://www.rambus.com/blogs/rambus-wins-automotive-cybersecurity-innovation-of-the-year-at-2024-autotech-breakthrough-awards/In an era where vehicles are becoming increasingly interconnected and software-driven, cybersecurity is paramount. Rambus, a leader in high-performance chip and silicon IP that move data faster and safer, has been recognized for its groundbreaking contributions to automotive cybersecurity receiving the prestigious “Automotive Cybersecurity Innovation Of The Year” accolade at the 2024 AutoTech Breakthrough Awards. […]
Creating a Secure Infrastructure for Advanced AI Workloads
https://www.rambus.com/creating-a-secure-infrastructure-for-advanced-ai-workloads/https://youtu.be/Qa3Jl27oje0?si=FrrNkmWmTbrjv0UE 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 […]
Security Challenges in a World of AI Everywhere
https://www.rambus.com/security-challenges-in-a-world-of-ai-everywhere/https://youtu.be/_uKCEry_nh8?si=nxu8fa4mQsok7E3t 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 […]
From Training to Inference: HBM, GDDR & LPDDR Memory
https://www.rambus.com/from-training-to-inference-hbm-gddr-lpddr-memory/https://youtu.be/0igemAwBsxc?si=w5btmjWGV8qqlMKk 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, […]
Navigating the Dynamics of IP Licensing for Data Center & AI
https://www.rambus.com/navigating-the-dynamics-of-ip-licensing-for-data-center-ai/https://youtu.be/_DBcfqzZmZ4?si=0kQKgPujt_tX2TUV 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 […]
