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Nvidia took a risk and invented the whole "AI on GPU" industry. AMD and Intel ignored it until they saw big $ there and their strategy was to create an "open sy

by bitL 4y ago

Nvidia took a risk and invented the whole "AI on GPU" industry. AMD and Intel ignored it until they saw big $ there and their strategy was to create an "open system" that would cause external pressure (from folks like you) on Nvidia to share the industry with them. Now, Nvidia's OpenCL performance is better than AMD's but strictly inferior to CUDA, so what are you going to do when AMD fails even in that?

okamiueru 4y ago
NVIDIA did absolutely not "invent AI on GPU", that's a ridiculous statement. When programmable shaders became commonplace, shaders were used to do general computation. That was the birth of GPGPU. NVIDIA jumped on this and developed a lot of very good tooling around that. known as CUDA. Then they invested a lot to make that tooling standard in research departments. Once GPGPU got more commonplace, researchers also doing AI, finding suitable GPGPU tasks, used the more user friendly and advanced tooling, which was CUDA. So, "NVIDIA inventing AI on GPU" suggests you do not know much about the history of AI work on GPUs. But, feel free to correct me.
- bitL 4y ago
  Nvidia invented HW shaders: https://en.wikipedia.org/wiki/Shader https://en.wikipedia.org/wiki/Shader https://www.khronos.org/opengl/wiki/History_of_Programmability https://www.khronos.org/opengl/wiki/History_of_Programmabili... "The GeForce 3, the first NV20 part, contained the first example of true programmability. Despite NVIDIA being a pioneer of highly configurable fragment processing, its programmability was in its vertex processing. The GeForce 3 was the first GPU that brought programmabilitiy to consumer hardware." The AI on GPGPU was possible only because Nvidia provided a library with matrix and activation functions running on a GPU at speeds far surpassing CPUs and designed a fairly nice API that anybody could understand. There was nothing like that before and that's why they had such a foothold with academic institutions. Of course they didn't invent AI but made it possible to run on their GPUs and actively helped researchers to do that while Intel and AMD slept (well, Intel at least tried to do that on CPU with MKL).
  - okamiueru 4y ago
    I assume that by replying, you figured out why your original statement was ridiculous? Tool makers do not get attributed inventions made with said tools.

by bitL 4y ago

okamiueru 4y ago

NVIDIA did absolutely not "invent AI on GPU", that's a ridiculous statement. When programmable shaders became commonplace, shaders were used to do general computation. That was the birth of GPGPU. NVIDIA jumped on this and developed a lot of very good tooling around that. known as CUDA. Then they invested a lot to make that tooling standard in research departments. Once GPGPU got more commonplace, researchers also doing AI, finding suitable GPGPU tasks, used the more user friendly and advanced tooling, which was CUDA. So, "NVIDIA inventing AI on GPU" suggests you do not know much about the history of AI work on GPUs. But, feel free to correct me.

bitL 4y ago
Nvidia invented HW shaders: https://en.wikipedia.org/wiki/Shader https://en.wikipedia.org/wiki/Shader https://www.khronos.org/opengl/wiki/History_of_Programmability https://www.khronos.org/opengl/wiki/History_of_Programmabili... "The GeForce 3, the first NV20 part, contained the first example of true programmability. Despite NVIDIA being a pioneer of highly configurable fragment processing, its programmability was in its vertex processing. The GeForce 3 was the first GPU that brought programmabilitiy to consumer hardware." The AI on GPGPU was possible only because Nvidia provided a library with matrix and activation functions running on a GPU at speeds far surpassing CPUs and designed a fairly nice API that anybody could understand. There was nothing like that before and that's why they had such a foothold with academic institutions. Of course they didn't invent AI but made it possible to run on their GPUs and actively helped researchers to do that while Intel and AMD slept (well, Intel at least tried to do that on CPU with MKL).
- okamiueru 4y ago
  I assume that by replying, you figured out why your original statement was ridiculous? Tool makers do not get attributed inventions made with said tools.