There are an increasing number of ways to do machine learning inference in the datacenter, but one of the increasingly popular means of running inference workloads is the combination of traditional CPUs acting as a host for FPGAs that run the bulk of the inferring. …
It has been nearly five years since Michael Dell lined up $24 billion in cash to take the IT company that bears his name private, and it has been nearly four years since Dell announced its mammoth $67 billion deal to acquire enterprise storage maker EMC and its server virtualization minion, VMware. …
It is intuitively obvious that most enterprises are want to embrace the public cloud, and they do not want to have a sole source of their cloudy compute, storage, and networking. …
There is a certain level of impatience in the IT industry to create truly composable infrastructure from disaggregated compute, storage, and networking. …
On the face of it, if you just look at the top level numbers, the server market is booming like we have not seen since the recovery in the wake of the Great Recession for a few quarters here and there between late 2009 and early 2011. …
For years, enterprises have wanted to pool and then carve up the myriad resources of the datacenter to enable them to more efficiently run their workloads, reduce power consumption, and improve utilization rates. …
Dell EMC has long been a vocal proponent of NVM-Express, the up and coming protocol that cuts out the CPU jib-jab with PCI-Express peripherals and that boost throughput and drops latency for flash and other non-volatile memory. …
Nvidia caused a shift in high-end computing more than a decade ago when it introduced its general-purpose GPUs and CUDA development platform to work with CPUs to increase the performance of compute-intensive workloads in HPC and other environments and drive greater energy efficiencies in datacenters. …
Computing resources – including storage and networking – are continuing their march toward the network edge, drawn like a magnet to the rapidly proliferating connected devices in the world and the huge amounts of data that they’re generating that need to be collected, processed and analyzed. …
Co-design is all the rage these days in systems design, where the hardware and software components of a system – whether it is aimed at compute, storage, or networking – are designed in tandem, not one after the other, and immediately affect how each aspect of a system are ultimate crafted. …
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