AMD Finally Reaps The Fortunes It Has Sown
Sometimes, competing for business means coming up with better products than your rivals. …
Sometimes, competing for business means coming up with better products than your rivals. …
In March 2020, when Lawrence Livermore National Laboratory announced the exascale “El Capitan” supercomputer contract had been awarded to system builder Hewlett Packard Enterprise, which was also kicking in its “Rosetta” Slingshot 11 interconnect and which was tapping future CPU and GPU compute engines from AMD, the HPC center was very clear that it would be using off-the-shelf, commodity parts from AMD, not custom compute engines. …
After its acquisitions of ATI in 2006 and the maturation of its discrete GPUs with the Instinct line from the past few years and the acquisitions of Xilinx and Pensando here in 2022, AMD is not just a second source of X86 processors. …
IT organizations, especially the key hyperscalers and cloud builders, don’t buy point products, they buy roadmaps. …
Imagine, if you will, that AMD could make as many Epyc CPUs and Instinct GPU accelerators as it wanted at a reasonable yield and cost. …
When the “Aldebaran” datacenter GPUs were launched by AMD last November for the HPC and AI crowd pushing up into the exascale stratosphere, only the two top-end models of the Instinct GPU accelerators –ones that use the Open Accelerator Module (OAM) form factor put forth by Facebook and Microsoft under the Open Compute Project – were actually available. …
Paid Feature Great hardware is the foundation of any compute platform. …
AMD has finished its acquisition of Xilinx, which ended up costing close to $49 billion instead of the original $35 billion projected when the deal was announced in October 2020 thanks to the rise of AMD’s shares over the past year and a half. …
Only two quarters ago, AMD’s datacenter business – meaning sales of Epyc CPUs plus Instinct GPU accelerators – broke through $1 billion. …
The modern GPU compute engine is a microcosm of the high performance computing datacenter at large. …
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