At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
Found 3587 Results
Securing the Future of Terabit Ethernet: Introducing the Rambus Multi-Channel Engine MACsec-IP-364 (+363)
https://www.rambus.com/blogs/securing-the-future-of-terabit-ethernet-introducing-the-rambus-multi-channel-engine-macsec-ip-364-363/The data center landscape is undergoing a seismic shift. Driven by the explosive growth of hyperscale cloud computing, artificial intelligence (AI), and high-performance computing (HPC), Ethernet speeds are accelerating beyond 800G to 1.6T and even 3.2T. This evolution is fueled by breakthroughs in optical connectivity and the adoption of advanced silicon nodes (3nm and 2nm), […]
MACsec Fundamentals
https://go.rambus.com/macsec-fundamentals#new_tabFor end-to-end security of data and devices, data must be secured both when it as rest (stored on a connected device) and when it is in motion (communicated between connected devices). For data at rest, a hardware root of trust anchored in silicon provides that foundation upon which all device security is built. Similarly, MACsec […]
1.6T/3.2T Multi-Channel MACsec Engine with TDM Interface (MACsec-IP-364)
https://www.rambus.com/security/protocol-engines/macsec-ip-364/1.6T/3.2T Multi-Channel MACsec Engine with TDM Interface (MACsec-IP-364) MACsec solution for data center, service providers, 5G and AI Contact Us The MACsec-IP-364 is a MACsec/IPsec engine developed specifically for high-speed, multi-rate and multi-port Ethernet devices. Its architecture provides an optimal multi-protocol solution for aggregate throughput for 1.6T and 3.2T. The MACsec-IP-364 is ideal for deployment in data […]
CryptoManager Root of Trust RT-1664 Product Brief
https://go.rambus.com/rt-1664-product-brief#new_tabDownload this product brief to learn more about the Rambus CryptoManager Root of Trust RT-1664 for U.S. Defense mission-critical applications.
Accelerating AI Workloads with Composable Memory & Hardware Acceleration
https://go.rambus.com/accelerating-ai-workloads-with-composable-memory-and-hardware-acceleration#new_tabJoin Lou Ternullo from Rambus along with Yiannis Nikolakopoulos from ZeroPoint as they discuss a solution that addresses the evolving requirements of hyperscale data centers, as outlined in open compute specifications.
Compute Power Challenge: The Race To Accelerate Data Movement
https://www.forbes.com/councils/forbestechcouncil/2025/07/30/compute-power-challenge-the-race-to-accelerate-data-movement/#new_tabExciting developments in AI inference—like chain-of-thought prompting, which breaks down large, complex questions and prompts into smaller steps mimicking human reasoning—are opening the gates to the highest quality answers and transparency in the logical inference process of AI.
Building Trust Through Certification of Security Solutions
https://event.on24.com/wcc/r/4970220/D7BA844DDD336B28FE654B2320660C3E#new_tabThis webinar explores how formal security certifications serve as the cornerstone for establishing and maintaining trust in commercial and government-developed security solutions.
Rambus Reports Second Quarter 2025 Financial Results
https://www.rambus.com/second-quarter-2025-financial-results/Exceeded expectations for Q2 revenue and earnings Achieved record quarterly product revenue of $81.3 million, up 43% year over year Generated record quarterly cash from operations of $94.4 million SAN JOSE, Calif. – July 28, 2025 – Rambus Inc. (NASDAQ:RMBS), a provider of industry-leading chips and IP making data faster and safer, today reported financial […]
Quantum-Safe: Protecting Data and Systems in the Quantum Computing Era
https://event.on24.com/wcc/r/4970217/5F85633D1BB891E3828F4C483E4F5ACF#new_tabIn this webinar, we will explore the emerging risks associated with quantum-capable adversaries and what it means to be “quantum safe.”
Scaling DRAM Technology to Meet Future Demands: Challenges and Opportunities
https://www.rambus.com/rambus-dram-tutorial/The tutorial will focus on DRAM architecture, specifically looking at design tradeoffs and subsequent impact to the overall system performance, power, cost and reliability. The tutorial will cover the following topics.
