Docker Completes Its Platform With DIY Linux
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. …
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. …
So you are a system architect, and you want to make the databases behind your applications run a lot faster. …
There is no question that plenty of companies are shifting their storage infrastructure from giant NAS and SAN appliances to more generic file, block, and object storage running on plain vanilla X86 servers equipped with flash and disk. …
Google created quite a stir when it released architectural details and performance metrics for its homegrown Tensor Processing Unit (TPU) accelerator for machine learning algorithms last week. …
If you want an object lesson in the interplay between Moore’s Law, Dennard scaling, and the desire to make money from selling chips, you need look no further than the past several years of Intel’s Xeon E3 server chip product lines. …
While a lot of the applications in the world run on clusters of systems with a relatively modest amount of compute and memory compared to NUMA shared memory systems, big iron persists and large enterprises want to buy it. …
The tick-tock-clock three step dance that Intel will be using to progress its Core client and Xeon server processors in the coming years is on full display now that the Xeon E3-1200 v6 processors based on the “Kaby Lake” have been unveiled. …
It is almost a foregone conclusion that when it comes to infrastructure, the industry will follow the lead of the big hyperscalers and cloud builders, building a foundation of standardized hardware for serving, storing, and switching and implementing as much functionality and intelligence as possible in the software on top of that to allow it to scale up and have costs come down as it does. …
With absolute dominance in datacenter and desktop compute, considerable sway in datacenter storage, a growing presence in networking, and profit margins that are the envy of the manufacturing and tech sectors alike, it is not a surprise that companies are gunning for Intel. …
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