With HPC Humming Along, HPE Awaits Its AI Boom
The ProLiant server business is down in the dumps, and the storage business is in a slump. …
The ProLiant server business is down in the dumps, and the storage business is in a slump. …
If you are looking for an alternative to Nvidia GPUs for AI inference – and who isn’t these days with generative AI being the hottest thing since a volcanic eruption – then you might want to give Groq a call. …
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. …
It has been two and a half decades since we have seen a rapidly expanding universe of a new kind of compute that rivals the current generative AI boom. …
As 2023 has progressed, the revenue growth projections at Arista Networks have inched up as its supply chain issues are getting resolved. …
Timing is a funny thing. The summer of 2006 when AMD bought GPU maker ATI Technologies for $5.6 billion and took on both Intel in CPUs and Nvidia in GPUs was the same summer when researchers first started figuring out how to offload single-precision floating point math operations from CPUs to Nvidia GPUs to try to accelerate HPC simulation and modeling workloads. …
Because they are in the front of the line for acquiring Nvidia datacenter GPUs, the hyperscalers and cloud builders are going to be the ones who benefit mightily from shortages of matrix math engines that can train AI models and run inference against them. …
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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