Andy Patrizio is a freelance technology writer based in Orange County, California. He's written for a variety of publications, ranging from Tom's Guide to Wired to Dr. Dobbs Journal, and has been on staff at IT publications like InternetNews, PC Week and InformationWeek.
While it might be tempting to blame Nvidia for the shortage of HBM, it’s not alone in driving high-performance computing and demand for the memory HPC requires.
Plans call for building an institute to develop digital twins for semiconductor manufacturing and share resources among chip developers.
The HPE Cray Storage Systems C500 is tuned to avoid I/O bottlenecks and offers a lower entry price than Cray systems designed for top supercomputers.
Lenovo Systems announced AI-centric systems using an all-AMD processor design, along with infrastructure for on-prem and Azure cloud.
NeuCool technology works with existing data center equipment and configuration.
Georgia Tech's dedicated AI supercomputer is a cluster of 20 Nvidia HGX H100s; the DOE's Venado is the first large-scale system with Nvidia Grace CPU superchips deployed in the U.S.
New edge-optimized processors and FPGAs will power AI-enabled devices in vertical industries including retail, industrial and healthcare.
Plus, Google unveils Axion, its custom Arm-based chip for data centers, at Google Cloud Next 2024.
Decades after some predicted its demise, the mainframe is as vital as ever, even in the era of AI.
The magnitude 7.4 earthquake struck fairly close to Taipei, which plays a vital role in the global chip supply chain.
More happened at the Nvidia GTC conference than the Blackwell announcement, including the launch of two new high-speed network platforms.
Stream Data Centers bought 55 homes in a 34-acre subdivision and plans to break ground on a 2 million square-foot data center campus in late 2024.
The DGX SuperPOD features eight or more DGX GB200 systems and can scale to tens of thousands of Nvidia Superchips.
The next-gen Blackwell architecture will offer a 4x performance boost over the current Hopper lineup, Nvidia claims.
New servers and storage services are targeted at high performance workloads, which means AI.
Once optional, GPUs are becoming mandatory in servers. Companies are prioritizing investment in highly configured server clusters for AI, research firm Omdia reports.
Supermicro and Lenovo are expanding their AI hardware offerings, Intel is previewing chips designed for 5G and AI workloads, and Dell is embracing telecom.
Almost a decade after it bought the FPGA maker, Intel spins it off as a standalone company with the old brand name.
Researchers disclosed multiple potential vulnerabilities that may impact some AMD processors, including Zen-based product lines across multiple generations.
Cloud service provider Lambda is working to build a GPU cloud for AI workloads.