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Wow, this is just Nvidia running laps around themselves at this point. Xenon Phi still not competitive, AMD focused on the consumer space, looks like the future

Wow, this is just Nvidia running laps around themselves at this point. Xenon Phi still not competitive, AMD focused on the consumer space, looks like the future of training hardware (and maybe even inferencing) belongs to Nvidia. (Disclosure: I am and have been long Nvidia since I found out cudnn existed and how far ahead it was)

coldtea 10y ago
>Xenon Phi still not competitive, AMD focused on the consumer space, looks like the future of training hardware (and maybe even inferencing) belongs to Nvidia. Assuming there's a big future to training hardware and inferencing. Many of those "new paradigms" / "silver bullet technologies" have come and gone in the last decades.
- mattnewton 10y ago
  That's true, but there is reason to believe this time is different™, with killer applications in medical image understanding, natural language understanding, and self driving cars, all of which could drive demand of these chips by themselves. It is possible we will discover new dominant architectures that don't use this hardware well but I am putting my money on us coming up with even more applications that do use this hardware well.
deepnotderp 10y ago
There's something coming for them: deep learning processors. I'm biased, since I'm part of one, but there's little to no modification of the software stack necessary, so it's a credible threat to nvidia.
- mattnewton 10y ago
  I hope so, if only because it keeps them running at this pace! Kudos for charging the 800lb gorilla head on.
- p1esk 10y ago
  What do you think about them open sourcing DLA of Xavier?
  - deepnotderp 10y ago
    They haven't released enough info on it, what exactly are they open sourcing? The chip design?
    - p1esk 10y ago
      I'm wondering myself. Maybe just the software to use it? No idea...
kobeya 10y ago
The potential disrupter here is RISV-V with vector extensions, which are currently being standardized.
ndesaulniers 10y ago
> I am and have been long Nvidia Today was a great day to be!

coldtea 10y ago

>Xenon Phi still not competitive, AMD focused on the consumer space, looks like the future of training hardware (and maybe even inferencing) belongs to Nvidia. Assuming there's a big future to training hardware and inferencing. Many of those "new paradigms" / "silver bullet technologies" have come and gone in the last decades.

mattnewton 10y ago
That's true, but there is reason to believe this time is different™, with killer applications in medical image understanding, natural language understanding, and self driving cars, all of which could drive demand of these chips by themselves. It is possible we will discover new dominant architectures that don't use this hardware well but I am putting my money on us coming up with even more applications that do use this hardware well.

deepnotderp 10y ago

There's something coming for them: deep learning processors. I'm biased, since I'm part of one, but there's little to no modification of the software stack necessary, so it's a credible threat to nvidia.

mattnewton 10y ago
I hope so, if only because it keeps them running at this pace! Kudos for charging the 800lb gorilla head on.
p1esk 10y ago
What do you think about them open sourcing DLA of Xavier?
- deepnotderp 10y ago
  They haven't released enough info on it, what exactly are they open sourcing? The chip design?
  - p1esk 10y ago
    I'm wondering myself. Maybe just the software to use it? No idea...

kobeya 10y ago

The potential disrupter here is RISV-V with vector extensions, which are currently being standardized.

ndesaulniers 10y ago

> I am and have been long Nvidia Today was a great day to be!