While the world continues to fixate on AI, there are still plenty of high performance computing workloads that need doing and a speedup to any one part can have a big impact, whether it be computational fluid dynamics, material analysis, or something else. …
Speeds and feeds are great, but hardware is only as useful as the software that can harness it, and, for AMD, that’s the ROCm software stack. …
In 2024, there is no shortage of interconnects if you need to stitch tens, hundreds, thousands, or even tens of thousands of accelerators together. …
Riding high on the AI hype cycle, Lambda – formerly known as Lambda Labs and well known to readers of The Next Platform – has received a $320 million cash infusion to expand its GPU cloud to support training clusters spanning thousands of Nvidia’s top specced accelerators. …
Having commercialized its waferscale AI computing platform to a certain extent over the past several year, Cerebras Systems reportedly wants to get an initial public offering done before the AI hype peaks. …
The datacenter industry today looks very different than it did a decade ago. …
The melding of low and high precision mathematics to accelerate the pace of scientific discovery has been a topic of discussion for some time now. …
For traditional HPC workloads, AMD’s MI250X is still a powerhouse when it comes to double precision floating point grunt. …
Without question, the biggest bottleneck in artificial intelligence and for a lot of HPC workloads today is bandwidth. …
The University of Stuttgart’s High Performance Computing Center (HLRS) in Germany has tapped Hewlett Packard Enterprise to build a pair of its next-generation supercomputers. …
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