Andy Patrizio is a freelance journalist based in southern California who has covered the computer industry for 20 years and has built every x86 PC he’s ever owned, laptops not included.
The opinions expressed in this blog are those of the author and do not necessarily represent those of ITworld, Network World, its parent, subsidiary or affiliated companies.
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.
New systems are designed to support generative AI and on-prem Azure.
Virtual Storage Platform One provides on-premises and cloud storage of both structured and unstructured data.
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 sovereign and private cloud services will help governments and enterprises keep data within national borders and comply with local regulations.
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.