5 ms·

Mostly because Jensen has a really weird creepy personality cult around him, instead of actually being a good leader that uses the technical strengths of his co

Mostly because Jensen has a really weird creepy personality cult around him, instead of actually being a good leader that uses the technical strengths of his company. I'll buy an AMD GPU over an Nvidia one any day of the week until they push him out.

BadHumans 2y ago
This is an incredibly insane thing to say given the dominance Nvidia has in AI and just general GPU sales. Nvidia eclipses both AMD and especially Intel in performance as well.
garyfirestorm 2y ago
care to explain? Nvidia has CUDA which really accelerates stuff and is widely used. you can deploy an LLM with one command on NVIDIA GPU.
echelon 2y ago
I can use Nvidia GPUs for building AI applications quite easily. I can spin up A100s and handle quite a bit of load. I can develop locally and know it'll work in production, and there's a vast ecosystem of models, libraries, tools, and more. AMD, not so much. They might as well be selling rocks.
LarsDu88 2y ago
This is an insane statment. There's a reason Nvidia has been able to coast from one boom (crypto) to another (ai), and has bullets in the magazine for several other moonshots that are coming to fruition (autonomous vehicles; finally rolling out in San Francisco this year), robotics (Omniverse and Isaac), and even biotechnology! It's because the CEO has made a priority of investing in software and platforms like CUDA When the LLM AI hype dies down, we might merely jump over to robotics AI hype, and the imminent mass manufacture of robotaxis that each require a $30,000 Nvidia inference card inside!
talldayo 2y ago
Jensen did what AMD, Intel and Apple all refused to do: sponsor a working GPGPU library. The industry had multiple chances to compete with them on any number of terms, but they didn't. Now Nvidia can ride the demand all the way to the bank while their competitors still play grudge-matches with Khronos and each other.
- rasz 2y ago
  He did a 'little' more. Nvidia sponsored CUDA in Uni curriculum with free hardware and course material ~15 years ago, resulting in most parallel programming courses turning into Nvidia courses.

BadHumans 2y ago

This is an incredibly insane thing to say given the dominance Nvidia has in AI and just general GPU sales. Nvidia eclipses both AMD and especially Intel in performance as well.

garyfirestorm 2y ago

care to explain? Nvidia has CUDA which really accelerates stuff and is widely used. you can deploy an LLM with one command on NVIDIA GPU.

echelon 2y ago

I can use Nvidia GPUs for building AI applications quite easily. I can spin up A100s and handle quite a bit of load. I can develop locally and know it'll work in production, and there's a vast ecosystem of models, libraries, tools, and more. AMD, not so much. They might as well be selling rocks.

LarsDu88 2y ago

This is an insane statment. There's a reason Nvidia has been able to coast from one boom (crypto) to another (ai), and has bullets in the magazine for several other moonshots that are coming to fruition (autonomous vehicles; finally rolling out in San Francisco this year), robotics (Omniverse and Isaac), and even biotechnology! It's because the CEO has made a priority of investing in software and platforms like CUDA When the LLM AI hype dies down, we might merely jump over to robotics AI hype, and the imminent mass manufacture of robotaxis that each require a $30,000 Nvidia inference card inside!

talldayo 2y ago

Jensen did what AMD, Intel and Apple all refused to do: sponsor a working GPGPU library. The industry had multiple chances to compete with them on any number of terms, but they didn't. Now Nvidia can ride the demand all the way to the bank while their competitors still play grudge-matches with Khronos and each other.

rasz 2y ago
He did a 'little' more. Nvidia sponsored CUDA in Uni curriculum with free hardware and course material ~15 years ago, resulting in most parallel programming courses turning into Nvidia courses.