I really hope AMD gains more ground on the software side. I know they are "technically supported" by onyx/pytorch etc. But almost every project I've seen there's a bunch of asterisks, a bunch of people needing different work arounds, and subpar performance compared to the hardware. Maybe it's because most people have their consumer cards? Nvidia however doesn't have this issue, people on pascal are only just now havi…
AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
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Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#12Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#13Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#14Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#15I really hope AMD gains more ground on the software side. I know they are "technically supported" by onyx/pytorch etc. But almost every project I've seen there's a bunch of asterisks, a bunch of people needing different work arounds, and subpar performance compared to the hardware. Maybe it's because most people have their consumer cards? Nvidia however doesn't have this issue, people on pascal are only just now havi…
I'm hoping for the same thing, but with Intel ARC. Intel gpus are cheaper, but have even worse ML software for consumer projects
* Intel has a history of getting this type of software working.
* AMD doesn't.
I don't think I'll ever trust AMD after... experiences, but Intel I'm bullish on Intel.
Arc A770 seems like by far the bang for the buck once software lands. 16GB for $300 if you find a good deal. Decent performance. Stick four of them in a system, and you've got 64GB for $1200 and a pretty decent amount of compute. Buy five systems like that, and you can run the largest open-source LLMs out there with Alpa for ~$6K.
That brings Facebook's GPT3-grade OPT models from corporate down to serious enthusiast level.
Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#16Earlier quoted context omitted.
CUDA
CUDA is becoming less important over time
You can do more with non-CUDA now than ever before.
At the same time, the number of things you can do only with CUDA is greater than ever before too.
The whole field it growing, and it's hard to compare.
Re: AMD Launches Instinct MI300X AI Accelerator, Up to 60% Faster Than Nvidia H100
#17According to this and SemiAnalysis[1], the MI300X seems impressive. Better than Nvidia's H100 and maybe a bit inferior to the H200. Why is Nvidia worth $1 trillion more? [1] - https://www.semianalysis.com/p/amd-mi300-performance-faster-...
$9B in profit vs $300M will have that effect.