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Found 228 Results
High-Performance Memory for AI/ML and HPC: Part 2
https://www.rambus.com/blogs/high-performance-memory-for-ai-ml-and-hpc-part-2/In part one of this two-part series, Semiconductor Engineering Editor in Chief Ed Sperling and Rambus Sr. Director of Product Management Frank Ferro took a closer look at the various types of memory that system designers are using to support artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) applications. In this blog post, […]
High-Performance Memory for AI/ML and HPC: Part 1
https://www.rambus.com/blogs/high-performance-memory-for-ai-ml-and-hpc-part-1/Semiconductor Engineering Editor in Chief Ed Sperling recently spoke with Rambus Sr. Director of Product Management Frank Ferro about designing high-performance memory subsystems for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) applications. As Ferro notes, there is plenty of compute (CPU) power available today to support the above-mentioned markets. “[However], the advances […]
Rambus Announces Complete 800G MACsec Solution for Enhanced Data Center and 5G Infrastructure Security
https://www.rambus.com/rambus-announces-complete-800g-macsec-solution-for-enhanced-data-center-and-5g-infrastructure-security/Highlights: Integrated hardware-based solution delivers full line-rate MACsec security at 100G to 800G data rates Supports multi-channel, multi-rate implementations with flexible bandwidth allocation Delivers enhanced data security for cloud, enterprise and carrier network applications as well as network-attached, high-performance computing (HPC) and AI/ML SUNNYVALE, Calif. – Apr. 29, 2020 – Rambus Inc. (NASDAQ: RMBS), a premier silicon IP and […]
Memory Systems for AI: Part 4
https://www.rambus.com/blogs/memory-systems-for-ai-part-4/In part three of this series, we discussed how a Roofline model can help system designers better understand if the performance of applications running on specific processors is limited more by compute resources, or by memory bandwidth. Rooflines are particularly useful when analyzing machine learning applications like neural networks running on artificial intelligence (AI) processors. […]
What does security look like when 5G meets AI?
https://www.rambus.com/5gsecurity/What does security looklike when 5G meets AI? Incredible synergies will be realized when 5G meets AI. Security anchored in hardware can protect the great value created. Learn how Rambus solutions secure the chips powering the 5G-AI revolution. 5G and AI Raise Security Risks for IoT Devices April 30th @ 11am PT | 2pm ET […]
Controllers Newsletter – Q1 2020
https://www.rambus.com/controllers-newsletter-q1-2020/Looking Ahead to 2020 from Northwest Logic, now part of Rambus Northwest Logic is now part of Rambus Inc., a premier silicon IP and chip provider. We are now proud to offer comprehensive memory and SerDes IP solutions, including PHYs and controllers. We continue to offer standalone controllers, providing customers with the ability to get […]
Storage and Networking Bytes: PCIe5, OpenShift, and Veeam
https://www.datanami.com/2020/01/17/storage-and-networking-bytes-pcie5-openshift-and-veeam/#new_tabLet’s start with PCIe5, the spec for which was finalized in early 2019. Now manufacturers are now getting revved up to produce PCIe5 hardware in 2020, which will be a boon for data- and processor-hungry workloads like machine learning and AI, as well as high performance computing (HPC) workloads that rely on GPUS, FPGAs, and […]
Accelerating AI And ML Applications With PCIe 5
https://semiengineering.com/accelerating-ai-and-ml-applications-with-pcie-5/#new_tabThe rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) server into multiple […]
Implementing Strong Security for AI/ML Accelerators [Part One]
https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-one#new_tabDedicated accelerator hardware for artificial intelligence and machine learning algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle important data which has value and must be protected. Many security threats exist that can compromise these assets. Fortunately, there are security techniques which can mitigate these threats.
Implementing Strong Security for AI/ML Accelerators [Part Two]
https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-two#new_tabDedicated accelerator hardware for artificial intelligence and machine learning algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle important data which has value and must be protected. Many security threats exist that can compromise these assets. Fortunately, there are security techniques which can mitigate these threats.
