Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

Post by fluffything » Thu, May 14, 2020, 3:04 PM UTC

wegs wrote: post #23

xvilka wrote: post #16

Probably even more closed than ever. They tend to become more and more restrictive with every new hardware generation. I wonder where their promised open source announcement they preannounced before.

Yeah. That's been my general problem with adopting NVidia for anything. They make good hardware, but there's a lot of lock-in, and not a lot of transparency. That introduces business risk. I'm not in a position where I need GPGPU, but if there wasn't that risk, and generally there were mature, open standards, I'd definitely use it. The major breakpoint would be when libraries like Numpy do it natively, and better yet…

Post by fourier_mode » Thu, May 14, 2020, 3:06 PM UTC

krapht wrote: post #3

Oof. Double-precision is only 2.5x better, which is less impressive than 20x for float. I still haven't found anything more cost-effective for double precision data processing (cost + dev time) than a rack full of used Xeons...

Post by paavohtl » Thu, May 14, 2020, 3:10 PM UTC

__alexs wrote: post #80

chupasaurus wrote: post #75

Earlier quoted context omitted.

Epic demo was running on PS5 so no NVIDIA involvement there.

Oh yes, I forgot they've entirely lost this console generation.

Post by rrss » Thu, May 14, 2020, 3:15 PM UTC

gok wrote: post #64

The TensorFloat-32 results look really impressive, but yikes that is not a good name. "TensorFloat" is extremely confusable with "TensorFlow," and it would really more accurately be called a 19 bit format.

Post by khalilravanna » Thu, May 14, 2020, 3:15 PM UTC

ethbro wrote: post #33

In my experience, Jensen Huang's keynotes are unprofessional in the best possible way. I remember thinking during an entire GTC presentation "Wait, this guy is the CEO?" He seemed like an excited engineer who happened to stumble onto stage.