While in the past human progress was tied to use of physical resources, in recent history human progress is happening with the use of fewer total resources.  Macafee refers to this trend as dematerialization.

This week, Supermicro put out its second annual Supermicro Data Centers & the Environment Report. In the report, the company makes a few key points revolving around how data centers can be more environmentally friendly.

Recording live at the Intel AI Summit event in San Francisco California, Ray Pang Head of Technology Enablement at Supermicro, joins the Intel on AI Podcast to talk about the long term collaboration between Intel and Supermicro.

Supermicro has released its second annual Data Centers and the Environment report, which is based on an industry survey of over 5,000 IT professionals. After analyzing the results, the company has determined that the majority of data center leaders do not “fully consider” green initiatives when building-out data center infrastructures.

In case your calendar doesn’t show holidays, it’s less than two weeks until Christmas (13 unlucky days to match today’s date of Friday the 13th). The good news? Office snacks will improve greatly next week. Bad news? Some of those snacks will be last year’s fruitcake. The reward for vigilance is a tooth that remains uncracked on super-stale pecans embedded in concrete-like cake filled with fossilized fruit.

In case you hadn’t noticed, solid-state drives keep getting bigger and faster. Back in 2008, a state-of-the-art enterprise SSD offered 32GB of capacity and moved files at up to 250 MB/s. Today, a 32TB version can read data sequentially at 3,200 MB/s. That’s a 1000x size increase and more than 10x speed-up.

Super Micro Computer, a specialist in enterprise computing, storage, networking solutions, has unveiled solutions for 5G cell tower deployments that leverage fully-configurable SuperServers based on 2nd Gen Intel Xeon Scalable processors, O-RAN compliant partner software and with the ability to operate in harsh environments.

One of the key elements to deep learning and training is lots of very dense compute, as well as the dense servers to go through the computation. Intel’s Nervana NNP-T Spring Crest silicon, which we saw at Hot Chips earlier this year, is the ‘big training silicon’ that came out of the acquisition with Nervana: a 680 mm2 built on TSMC 16nm with CoWoS with four stacks of HBM2.