A lot of computing power hindered by poor memory interface choices?
Machine learning won't replace supercomputer-based forecasting anytime soon, though
Working on a practical solution for the global GPU shortage, allegedly
A power-optimized Arm CPU for HPC and hyperscale applications
Arm power efficiency is good enough for next-gen HPC systems, it seems
TL;DR: Private companies are in desperate need for additional GPU computing capabilities to train their new generative AI services, yet they are encountering significant challenges in obtaining them. In contrast, researchers involved in US supercomputing projects currently have access to potent Nvidia GPU nodes at a substantial discount, albeit for a limited time.
Hopper-based HPC accelerator truly is a money-printing machine
Beijing needs much more computing power to try and compete in the AI business
AMD joins industrial partners for a new, high-performance networking standard
A real breakthrough or just another academic achievement with no practical applications?
The exascale era super-hardware is coming, now we just need the right software
Software is key in LLM training
An all-Intel machine designed to do science, simulations, and AI
A new era of accelerated discovery thanks to quantum, cloud and, of course, AI
This is how Arm is going after enterprise and the cloud