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Rambus’ Suresh Andani has written a detailed Semiconductor Engineering article that explores how PCIe 5 can effectively accelerate AI and ML applications. According to Andani, the 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. However, the paradigm of virtualization can […]
As a momentous 2020 fades into the history books, 2021 is expected to be a year of growth and evolution for the semiconductor industry across multiple market segments. Firstly, DDR5 DRAM is slated to enter volume production by the end of 2021, with initial deployments targeting hyperscale data centers. Secondly, AI/ML neural networks – which […]
Root of Trust for FPGAs Contact Us FPGAs (Field Programmable Gate Arrays) are widely used in industries such as Defense, Telecommunications, Automotive and AI/ML (Artificial Intelligence/Machine Learning) because of their reconfigurability and flexibility. Whether functioning as the essential building blocks of avionics and spacecraft systems, controlling ADAS (Advanced Driver Assisted Systems) systems, or assisting inference […]
TORONTO — Location, location, location is not a mantra limited to real estate. To meet the needs of artificial intelligence (AI) and machine learning applications, it increasingly applies to where data needs to reside, and the memory that stores it.
SK hynix has announced the launch of the world’s first DDR5 DRAM, optimised for Big Data, Artificial Intelligence (AI), and machine learning (ML) as a next generation standard of DRAM.
SK hynix is launching the world’s first DDR5 memory module, aimed at Big Data, Artificial Intelligence (AI), and machine learning (ML) with a key focus on power consumption. The DDR5 memory module is supports transfer rate of 4.8 to 5.6Gbit/s, 1.8 times faster than the previous generation, at 1.1V rather than 1.2V. This reduces the […]
Highlights: Fully-integrated HBM2E memory interface solution, consisting of verified PHY and controller, achieves industry’s fastest performance New benchmark in performance supports accelerators requiring terabyte-scale bandwidth for artificial intelligence/machine learning (AI/ML) training applications Partners with SK hynix and Alchip to develop 2.5D HBM2E memory system solution using TSMC N7 process and CoWoS® advanced packaging technologies Offers unrivaled […]
Highlights: Expands comprehensive portfolio of cutting-edge IP designed on TSMC’s industry-leading 7nm (N7) process Enables the most power- and cost-efficient solution for die-to-die (D2D) and die-to-optical engine (D2OE) connectivity over Extra Short Reach (XSR) and Ultra Short Reach (USR) channels Accelerates next-generation data center, networking, 5G, high-performance computing (HPC), and artificial intelligence/machine learning (AI/ML) applications […]
Written by Paul Karazuba for Rambus Press A team of North Carolina State University researchers recently published a paper that highlights the vulnerability of machine learning (ML) models to side-channel attacks. Specifically, the team used power-based side-channel attacks to extract the secret weights of a Binarized Neural Network (BNN) in a highly-parallelized hardware implementation. “Physical […]
Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle valuable data and models, and face a growing threat landscape putting AI/ML assets at risk. Using fundamental cryptographic security techniques performed by a hardware root of trust can safeguard these assets from […]
