If high bandwidth memory was widely available and we had cheap and reliable fusion power, there never would have been a move to use GPU and other compute engines as vector and matrix math offload engines. …
In many ways, the “Grace” CG100 server processor created by Nvidia – its first true server CPU and a very useful adjunct for extending the memory space of its “Hopper” GH100 GPU accelerators – was designed perfectly for HPC simulation and modeling workloads. …
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. …
Investment in supercomputing and related HPC technologies is not just a sign of how much we are willing to bet on the future with someone else’s money, but how much we believe in it ourselves, and more importantly, how much we believe in the core idea that we can predict and therefore shape the future of the world. …
The ProLiant server business is down in the dumps, and the storage business is in a slump. …
Over the past few years, the Arm architecture has made steady gains, particularly among the hyperscalers and cloud builders. …
If you are in the traditional HPC community, it is not hard to be of two minds about the rise of AI and the mainstreaming of generative AI. …
As Moore’s law continues to slow, delivering more powerful HPC and AI clusters means building larger, more power hungry facilities. …
For very sound technical and economic reasons, processors of all kinds have been overprovisioned on compute and underprovisioned on memory bandwidth – and sometimes memory capacity depending on the device and depending on the workload – for decades. …
If you had to sum up the second half of 2022 and the first half of 2023 from the perspective of the semiconductor industry, it would be that we made too many CPUs for PCs, smartphones, and servers and we didn’t make enough GPUs for the datacenter. …
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