
Finally, A Coherent Interconnect Strategy: CXL Absorbs Gen-Z
It is refreshing to find instances in the IT sector where competing groups with their own agendas work together for the common good and the improvement of systems everywhere. …
It is refreshing to find instances in the IT sector where competing groups with their own agendas work together for the common good and the improvement of systems everywhere. …
As many of you know from reading The Next Platform, we are firm believers that eventually we will get disaggregated and composable systems that drive up the sharing of hardware resource across many workloads and therefore drive down the cost of hardware to support workloads. …
To one way of looking at it, a reprise of the Bus Wars from days gone by in the late 1980s and early 1990s would have been a lot of fun. …
We have been waiting for a long, long time for the ionic bond between compute and main memory to be softened to something a little more covalent and therefore allow for more complex storage structures to be formed within systems and across them. …
A system is more than its central processor, and perhaps at no time in history has this ever been true than right now. …
It is funny to think that in a certain light, AMD has Big Blue to thank for its resurgence in the datacenter. …
Even before it launched a $1.3 billion acquisition of Cray back in May, Hewlett Packard Enterprise has had exascale aspirations. …
There is a certain level of impatience in the IT industry to create truly composable infrastructure from disaggregated compute, storage, and networking. …
For several years, work has been underway to develop a standard interconnect that can address the increasing speeds in servers driven by the growing use of such accelerators as GPUs and field-programmable gate arrays (FPGAs) and the pressures put on memory by the massive amounts of data being generated and bottleneck between the CPUs and the memory. …
Servers have become increasingly powerful in recent years, with more processing cores being added and accelerators like GPUs and field-programmable gate arrays (FPGAs) being added, and the amount of data that can be processed is growing rapidly. …
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