In the past several decades, data processing and storage systems could be architected from best of breed components, and the market could – and did – sustain multiple suppliers of competing technologies in each of the categories of compute, networking, and storage. …
IT organizations, especially the key hyperscalers and cloud builders, don’t buy point products, they buy roadmaps. …
There is a fundamental disconnect between the cadence that chip makers want for their devices and what the hyperscalers and cloud builders would prefer. …
There is no question that that the combination of Nvidia and Arm Holdings would have been a powerful one in the datacenter. …
The rapid movement of data to the cloud, the sharp rise in the amount of east-west traffic and the broadening adoption of modern applications like artificial intelligence (AI) and machine learning are putting stress on traditional networking infrastructures that were designed for a different era and are struggling to meet the demands for better performance, more bandwidth and less latency. …
Software maker VMware has always been about tight partnerships with other tech vendors. …
Sponsored Moving more bits across a copper wire or optical cable at a lower cost per bit shifted has been the dominant driver of datacenter networking since distributed systems were first developed more than three decades ago. …
We said this a long time ago, and we are going to say it again now. …
That is not a typo in the title. We did not mean to say GPU in title above, or even make a joke that in hybrid CPU_GPU systems, the CPU is more of a serial processing accelerator with a giant slow DDR4 cache for GPUs in hybrid supercomputers these days – therefore making the CPU a kind of accelerator for the GPU. …
While a lot of ideas are ancient, some are relatively new and can come from only a modern context. …
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