Red Hat Is The Gatekeeper For ARM In The Datacenter
If any new hardware technology is going to get traction in the datacenter, it has to have the software behind it. …
If any new hardware technology is going to get traction in the datacenter, it has to have the software behind it. …
We have been saying for the past two year that the impending “Skylake” Xeon processors represented the biggest platform architectural change in the Xeon processor business at Intel since the transformational “Nehalem” Xeon 5500s that debuted back in March 2009 into the gaping maw of the Great Recession. …
This fall will mark twenty years since the publication of the v1.0 specification of OpenMP Fortran. …
In the wake of the Technology and Manufacturing Day event that Intel hosted last month, we were pondering this week about what effect the tick-tock-clock method of advancing chip designs and manufacturing processes might have on the Xeon server chip line from Intel, and we suggested that it might close the gaps between the Core client chips and the Xeons. …
Chip maker Intel takes Moore’s Law very seriously, and not just because one of its founders observed the consistent rate at which the price of a transistor scales down with each tweak in manufacturing. …
There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with industry-standard SQL. …
Being the first mover in establishing a new technology in the enterprise is important, but it is not more important than having a vast installed base and sales force peddling an existing and adjacent product set in which to sell a competing and usually lagging technology. …
International Business Machines has gone through so many changes in its eleven decades of existence, and it is important to remember that some days. …
It all started with a new twist on an old idea, that of a lightweight software container running inside Linux that would house applications and make them portable. …
Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the hyperscalers of the world who are essentially creating this technology have had to rely on increasingly beefy compute nodes, these days almost universally augmented with GPUs. …
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