1. We predict computing will be dominated by the very small connected to the very large.    The very small will be little more than intelligent, wireless, very personal, user interfaces.
2. We predict power dissipation will dominate hardware decisions for both.
3. We predict that both the very small and the services, media, and communications provided from the very large will be given away for FREE.
4. We predict commerce will divide into that which is hard, physical, and can be sold and that which is soft, virtual, and will be given away for FREE.
5. We predict the soft and virtual will be monetized by promoting sales of the hard and physical.
6. We further predict that neither INTEL nor Microsoft will be significant players in any of this.
Significant technical and economic hurdles must be cleared before these predictions can be realized.
Power dissipation must be cut to nothing.     Cost must be crushed to dust.
TOMI Technology embeds CPUs and logic on commodity DRAMs to make the lowest power general purpose CPUs in existence using the cheapest transistors being made today.
Computing is organizing into the very small connected to the very large.
The very large are the honking Big Data analytics supercomputers that transform a piece of glass into Google Glass.Extracting Value from Big Data
Data is "Big" if it doesn't fit your legacy computer and tools. Furthermore Big Data is often received in high speed streams such as ecommerce transactions or even video camera feeds.
Big Data attempts to predict the future based on the past and present it in a meaningful form.
How valuable is knowing:    The winner of the Superbowl,
How valuable is it to know before your competitors or your enemies?
These priceless gems of prognostication don't come cheap, but until recently they did not come at all.Big Money in Big Data Supercomputers
A supercomputer used to be a room full of specialized big iron huffing away on some scientist's fluid mechanics problem. In 2011 Cray Computing, generated about the same profit in an entire year as Apple Computer did before noon..... every single day.....from the iPod.
That's changing overnight as the big bucks customers discover that predicting the future requires a new kind of supercomputer server. McKinsey & Company says the business will be $300 billion a year.
That's BIGGGGG Data.Heat and Cost
To tap the big money in Big Data, the producers of prognosticating processors are building a new class of massively parallel supercomputers. These million core machines with sophisticated networking topologies must overcome severe power dissipation and economic challenges.
INTEL, Samsung, Marvell, and IBM are building some of the silicon for Big Data Boxes.
In the end due to power and cost most Big Data silicon will be 8-core TOMI Celeste and its derivatives.
To find out why and how you can play, give us a shout at The World After INTEL.