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But Mali is an also-ran in a market where the one making all the money has their own solution. What does "sell Geforce like ARM sells Mali" mean? Make it an utt

But Mali is an also-ran in a market where the one making all the money has their own solution. What does "sell Geforce like ARM sells Mali" mean? Make it an utter commodity, a bunch of transistors in one much bigger chip, like the GPU in a console but valued even less? Nobody knows the name of what you are selling and 90% of the market would rather have more runtime on their phone than ever care in the slightest for 3D game performance? Mobile GPUs are like integrated graphics on CPUs, those didn't kill AMD or Nvidia because that entire market doesn't want to spend a dime to begin with.

jayd16 6y ago
>Mobile GPUs are like integrated graphics on CPUs I really don't think so. For the high end PC consumer, integrated performance can be ignored because you'll get a dedicated card. Not so with mobile SOCs. It makes sense that nVidia might want to squeeze out Qualcomm and get their GPUs in Samsung flagships, for example.
- stefan_ 6y ago
  I think they need a Qualcomm modem more than they will ever miss a Nvidia GPU.
  - jayd16 6y ago
    The majority of the handsets Samsung sells is their own Exynos. I believe they only use Qualcomm in the US anyway. Is this referring to some US specific 5G band or something?
paulmd 6y ago
Because it pushes the CUDA ecosystem into dominance of yet another platform. You can run your acceleration routine on anything from a smartphone/raspberry pi to an enterprise accelerator, one algorithm. And it will be everywhere, a defacto capability of most reference-implementation ARM devices. (and sure opencl too but that's too loose a standard to have any platform effect, it's just a standard that everyone implements a little differently and needs to be ported to their own compiler/hardware/etc, so there is no common codebase and toolchain that everyone can use like with CUDA.) Everyone laughed at Huang saying that NVIDIA is a software company. He was right.
- stefan_ 6y ago
  Nobody wants to run CUDA anymore. All the mobile SoCs jumped right over that one and have AI coprocessors now. CUDA is what runs on the developer workstation, not the "edge device" as they call it. Like there was a tiny window of software supremacy there, then everyone remembered how matrix multiplication works.
  - jayd16 6y ago
    What are you even talking about? Jumped over? It was literally never an option (and still isn't). That said, compute shaders are indeed used on mobile SOCs but even then the install base is pretty abysmal. Maybe nVidia will decide to push this type of tech a lot harder.

jayd16 6y ago

>Mobile GPUs are like integrated graphics on CPUs I really don't think so. For the high end PC consumer, integrated performance can be ignored because you'll get a dedicated card. Not so with mobile SOCs. It makes sense that nVidia might want to squeeze out Qualcomm and get their GPUs in Samsung flagships, for example.

stefan_ 6y ago
I think they need a Qualcomm modem more than they will ever miss a Nvidia GPU.
- jayd16 6y ago
  The majority of the handsets Samsung sells is their own Exynos. I believe they only use Qualcomm in the US anyway. Is this referring to some US specific 5G band or something?

paulmd 6y ago

Because it pushes the CUDA ecosystem into dominance of yet another platform. You can run your acceleration routine on anything from a smartphone/raspberry pi to an enterprise accelerator, one algorithm. And it will be everywhere, a defacto capability of most reference-implementation ARM devices. (and sure opencl too but that's too loose a standard to have any platform effect, it's just a standard that everyone implements a little differently and needs to be ported to their own compiler/hardware/etc, so there is no common codebase and toolchain that everyone can use like with CUDA.) Everyone laughed at Huang saying that NVIDIA is a software company. He was right.

stefan_ 6y ago
Nobody wants to run CUDA anymore. All the mobile SoCs jumped right over that one and have AI coprocessors now. CUDA is what runs on the developer workstation, not the "edge device" as they call it. Like there was a tiny window of software supremacy there, then everyone remembered how matrix multiplication works.
- jayd16 6y ago
  What are you even talking about? Jumped over? It was literally never an option (and still isn't). That said, compute shaders are indeed used on mobile SOCs but even then the install base is pretty abysmal. Maybe nVidia will decide to push this type of tech a lot harder.