Earlier quoted context omitted.
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…
Given that I hardly saw any clone vendors other than AMD, I really doubt that they had any influence on Intel's market share. What worked out was IBM not being able to prevent PC clones, but given the wide adoption of laptops, tablets and phones that hardly matters nowadays.
Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
41–50 of 347 posts
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#42Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#43For those in the industry: When a new generation like this is released, will a typical AI company replace the current GPUs? Is there a chance to acquire the older versions for private use or is it too early for that?
(Not speaking for everyone of course)
No we keep the current GPUs as well, the one we throw away are several generations old (like K80s), so not very interesting.
For private use, those GPUs are really not worth it. Once their used price reaches an acceptable level, you can be sure that the new general public GPUs will outperform them.
For example a Titan RTX is probably still twice as cheap as V100, while only being ~20% slower.
Edit: Actually a Titan RTX is about the same price as a P100 now, while being much better.
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#44Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#45Probably 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…
What Intel numerical libraries are you thinking of? When I think of Intel numerical libraries, the first that comes to mind is MKL. MKL is neither open-source nor does it work well on AMD without some fragile hacks [0].
[0] https://www.pugetsystems.com/labs/hpc/How-To-Use-MKL-with-AM...
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#46Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#47Earlier quoted context omitted.
The large majority of researchers and business getting into NVidia products doesn't seem to find it that relevant, rather what tools, GPU programming languages and hardware they are able to put their hands on.
It's irrelevant to researchers. Research operates on rapid cycles: prototype, publish, move on. It does impact businesses. It doesn't prevent adoption for e.g. deep learning, but I haven't seen e.g. GPU-based databases reach broad adoption, or many other places where MIMD/SIMD would reduce costs or improve performance. Using classical hardware is clearly cheaper than the business risk and engineering time of relying…
Naive question, because I literally don't know the link between CPU instruction stream and GPGPU instruction stream.
But it seems like there would be an opportunity to seize the higher (open) ground at the ISA level, and then force Nvidia to implement its own support for that standard.
With the point of being able to run identical code across CPU / CPU-with-embedded-GPU / CPU + GPU.
Understand we're talking about mind-boggling levels of complexity here, but it feels like the CPU shops ceded the role of graphical ISA to Nvidia & Microsoft (DirectX).
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#48> DGX-A100 - The First HPC System With 140 Peta-OPs Compute Shipping Now For $199,000 Crazy pricing for a chip that basically started as a game solution. Anybody actually seen these Nvidia DGX systems in the wild?
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#49> DGX-A100 - The First HPC System With 140 Peta-OPs Compute Shipping Now For $199,000 Crazy pricing for a chip that basically started as a game solution. Anybody actually seen these Nvidia DGX systems in the wild?
Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
#50Stealing Epic Games/Unreal Engine's thunder. If Nvidia was a human, they'd be the type to propose at someone else's wedding.