Nvidia Tegra graphics and Arm processor in this...
If it’s as advertised, just tell me where to get one. But I’m not going to India.
Now if any pad-type computer can work, it appears this one could. They have a more normal size screen, all niceties we’re used to on PCs. Way better battery life, connector ports for other devices that would be nice to access/connect. And for a more competitive price.
This is the one that could get people more interested in pad computers. It’s what Apple should have put out at the price they should have priced it at.
The biggest problem with the I-pad is lack of Flash support. Whatever Apple claims about technical problems, the fact is that Flash would allow it’s user’s access to mutlimedia content not found in Itunes. Oh well, Apple has designed the I-pad as they see fit and they are allowed to set thier own marketing rules. If I don’t like the I-pad, then I might can look at this device as an option. The Free Market at work in our Free Republic.
We've come a long way, baby.
the form factor for a tablet has to be screen to the edge (maybe 1/2 inch edge), very thin, multi-touch, long battery life, and as many (useful) connectors as possible
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Hyderabad has developed into a major hub for the Information technology industry in India. It is the Biotechnology and Pharmaceutical Capital of the Country.
map at the link.
Impressive. I must add, for those here who give a damn, that I’ve spent years in the high performance computing (HPC) field. Supercomputing, in other words; primarily Linux clusters. If you look at the Top 500 list, published twice a year, of the most powerful systems on the planet....you’ll see many of the systems I used to “own” for Big Blue (in a worldwide marketing sense).
In that field, nVidia’s GPU technology is a serious game changer. In HPC, clusters are used for serious modeling/simulation, and that means serious number crunching. GPU’s are perfect for this. Think of them as math co-processors on steroids.
Traditionally, we all used generic Intel or AMD CPU’s (almost always dual proc) “pizza box” servers lashed together for clusters. Blades came later, but the idea was still the same: lots and lots of “cheap” servers running off-the-shelf CPU’s lashed together to run massive problems.
The core issue there (no pun intended) is that CPU’s do certain things very well; they aren’t dedicated math co-processors. What nVidia and their brilliant Tesla architecture brought to the table is highly significant.
Now....and I’m pulling these numbers out of my, um, ear......rather than 20 racks of Intel or AMD CPU-based servers in a cluster, you may have five racks: 2 with CPU-based servers (or maybe 3), 3 racks of GPU’s (Tesla’s...maybe 2 racks). You get the idea. FAR smaller node count, and offloading the serious number crunching (utilizing CUDA) to the GPU’s vs. more generic CPU’s.
Huge cost savings, huge power savings, huge cooling savings, far more efficiency.
That, folks, in a nutshell, is the future (frankly, the real present) in supercomputing.....and nVidia deserves one hell of a lot of credit for it.
I want to see its military attributes, if not for armed services members then for a militia force. Being used for everything from medical trauma procedures on how to operate heavy equipment, a person with one of these can become a specialist much quicker than traditional classroom training and it can be done in the field.