Intel Aims To Take on Nvidia With a Processor Specially Designed for AI (fastcompany.com)
An anonymous reader shares a report: In what looks like a repeat of its loss to Qualcomm on smartphones, Intel has lagged graphics chip (GPU) maker Nvidia in the artificial intelligence revolution. Today Intel announced that its first AI chip, the Nervana Neural Network Processor, will roll out of factories by year's end. Originally called Lake Crest, the chip gets its name from Nervana, a company Intel purchased in August 2016, taking on the CEO, Naveen Rao, as Intel's AI guru. Nervana is designed from the ground up for machine learning, Rao tells me. You can't play Call of Duty with it. Rao claims that ditching the GPU heritage made room for optimizations like super-fast data interconnections allowing a bunch of Nervanas to act together like one giant chip. They also do away with the caches that hold data the processor might need to work on next. "In neural networks... you know ahead of time where the data's coming from, what operation you're going to apply to that data, and where the output is going to," says Rao.
The thing about AI is this.. I play video games and boy the AI sure does suck. It has always sucked and every year I think its going to get better but never does.. If we can't program AI well in video games, then i'll say were a lot further off than the projections ive been seeing.. But what the hell do I know?
Because they surely suck at GPUs. Always did, always will.
For Intel's sake, this had better rock, or else it's DOA.
I'm guessing you'd need to purchase a specialized motherboard with accompanying chipset to use one of these. Whereas GPUs can just plug into slots that most motherboards have already.
GPUs, like cassette tapes, may be with us for awhile before something else comes along that competes well enough with them in cost and utility to make switching a no-brainer.
If it weren't for deadlines, nothing would be late.
"May Rao have mercy on their souls."
AI chip that is, rather than n00b ;)
http://articles.baltimoresun.com/1993-02-13/business/1993044090_1_neural-networks-chips-michael-glier
NI-1000, back in 1993, for missles (or more to the point to cash in of defense spending of course)
https://www.intel.com/content/www/us/en/embedded/products/quark/mcu/se-soc/overview.html
A little more recently we have Quark-SE, with 'pattern matching hardware'
https://www.hpcwire.com/2017/08/28/intel-debuts-myriad-x-vision-processing-unit-neural-net-inferencing/
And of course rather more recent, the Myriad range - I thought those were your new NN chips Intel?
The pattern is of course Intel buys up one-idea-wonders, warms them over the a while, then releases them as 'the big thing!', but since there is little actual product development, market cooperation, or even perhaps one would think any actual business plan, they flash-and-fail.
Intel is great at manufacturing x86 chips, and pretty good at holding a captured market, but non-x86 innovation? not such a good track record.
Yes, tanh() is linear, right? Effing moron.
everyone starts talking games and PCs.
This is about AI. We just had a discussion recently over an article ridiculing the energy cost of NVidia's approach to self-driving cars. Chips like this is why that article was ridiculous. NVidia's current approach is a developmental solution. Purpose-made solutions like this will be the rulers of the AI market and, within a few short years, use several orders of magnitude less energy to perform the same work.
We don't have real AI so you can't have an AI chip. It's just another microprocessor, STOP THE HYPE.
Sounds like they will morph the Xeon-D SoC
For Intel's sake, this had better rock, or else it's DOA.
Odds are it is already DOA. Intel being Intel they get the itch every now and then and feel the need to capture some high-yield revenue stream other than the x86 family.
Over the years they have done it all. FPGAs? Embedded controllers? RISC processors? Switch Chips? Infiniband? GPUs? The list is endless. From this perspective "neural net" is nothing new.
Start with some tech acquisition, run up a bunch of hype, do some trade shows or even TED talks. At the end of the day it doesn't run Windows so it doesn't make money for them and the business unit is quietly sold off or disbanded.
Check in on this in 12 months and you will find Intel strategic talk on "getting back to core competency" again.
So how is it at mining alt-coins?
While Intel/Nvidia are doing deep learning neural nets, whivh are mostly matrix math. Both are A.I. techniques but quite different from each other.
Nervana is designed from the ground up for machine learning, Rao tells me. You can't play Call of Duty with it.
One could also read that as "We're trying to develop AI, but it's still so primitive that you can't even make a machine-learned bot for a contemporary game with it yet." ;)
Ezekiel 23:20
The different address/data width standards on each of those busses.
(E)ISA 8/16/32 bit, PIO/DMA
VLB/MCA (Bet you forgot about those!) 25/33/50mhz VLB. Not sure about MCA.
PCI(-X) 32/64 bit, 33-133mhz 3.3/5V Variety of PCI latencies. Different max PCI memory apertures. Some cards may/may not work on different PCI chipsets as a result.
AGP: dedicated PCI channel with a fast one way DMA aperture from main memory to card. 3.3V/1.8V/1.5V signalling, Chipsets generally supported either AGP2x/4x or AGP4x/8x, or only one of those standards at only 1 or 2 signal voltages. Some early pentium era hardware may be AGP2x only at AGP 1x speed.
PCIe: At least 3 major standards. PCIe 1.1/2.0 weren't very different, 3/4 added 64 bit BAR and a variety of other features that may cause breakage of newer devices on older PCIe busses, similiar to
Some of this may be inaccurate, but is damn close given it is all off the top of my head.
This only covers *desktop PC* standards too. It gets even messier if you start looking at Laptop busses or Mac/SGI/Sun/HP/DEC/etc busses as well. Go look at how many MXM (lack of) standards there are. And try to find a GPU upgrade for your laptop. If it is pre-Intel ME, you have maybe 3 options(all Vulkan compatibility, and maybe 1 with basic OpenCL/Cuda support), assuming you had one of the standards compliant notebooks. Similiar problem for anything newer, although the cards got a bit better standardized, but good luck disassembling your laptop and getting your new card under the heatsink, thermally contacting, and actually wattage/heat compatible with your system.