It is no secret that Intel has been working to get its “Cascade Lake” processors, the second generation of its Xeon SP family to market as early as possible this year and to ramp sales at the same time that X86 server rival AMD is expected to get its second generation “Rome” Epyc processors in the field. …
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
When Intel starts shipping its “Cascade Lake” Xeons in volume soon, it will mark a turning point in the server space. …
The hyperscalers and cloud builders of the world put a third of their installed base into the trash compactor every year because it is much less costly for them to keep upgrading machinery than it is to operate older stuff that eats space and burns power and cooling less efficiently. …
There hardly seems to be a month that doesn’t go by without a different IT supplier being rumored to want to acquire network device provider Mellanox Technologies, which has an intense focus on the high end, scale out, low latency segment of the datacenter switching market. …
For the first time in a very long time, and even including the Great Recession, chip maker Intel booked less revenue in the fourth quarter of the year than it did in the third quarter of that same year. …
A few months ago, we took an in-depth look at Intel’s quantum hardware strategy—from qubits to device manufacturability and commercial viability. …
It would not have been an Architecture Day, as it was earlier this week at the former estate of Intel co-founder Robert Noyce, if the chip giant did not unfold a few pages in the roadmaps for its future CPUs and GPUs. …
Innovation requires motivation, and there is nothing quite like a competitor trying to eat your lunch to wake you up every morning to the reality of the situation. …
OpenMP is probably the most popular tool in the world to parallelize applications running on processors, but ironically it is not a product, but rather a specification that those who make compilers and middleware use to implement their own ways of parallelizing code to run on multicore processors and now, GPU accelerators. …
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